library(dplyr)
## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
library(data.table)
## 
## Attaching package: 'data.table'
## The following objects are masked from 'package:dplyr':
## 
##     between, first, last
library(Metrics)
## Warning: package 'Metrics' was built under R version 4.0.5
library(e1071)
## Warning: package 'e1071' was built under R version 4.0.5
library(xgboost)
## Warning: package 'xgboost' was built under R version 4.0.5
## 
## Attaching package: 'xgboost'
## The following object is masked from 'package:dplyr':
## 
##     slice
library(fastDummies)
## Warning: package 'fastDummies' was built under R version 4.0.5
library(vtreat)
## Warning: package 'vtreat' was built under R version 4.0.5
## Loading required package: wrapr
## Warning: package 'wrapr' was built under R version 4.0.5
## 
## Attaching package: 'wrapr'
## The following object is masked from 'package:data.table':
## 
##     :=
## The following object is masked from 'package:dplyr':
## 
##     coalesce
library(magrittr)
library(rminer)
## Warning: package 'rminer' was built under R version 4.0.5
## 
## Attaching package: 'rminer'
## The following object is masked from 'package:vtreat':
## 
##     fit

讀取資料

data = read.csv('./dataset/combined.csv')
data <- data[,-1]
str(data)
## 'data.frame':    9879 obs. of  16 variables:
##  $ blueWardsPlaced             : int  13 0 0 28 58 -18 -39 1 1 -3 ...
##  $ blueWardsDestroyed          : int  -4 0 -3 -1 2 -5 2 2 1 -1 ...
##  $ blueFirstBlood              : int  1 -1 -1 -1 -1 -1 1 -1 -1 1 ...
##  $ blueKills                   : int  3 0 -4 -1 0 2 1 -8 0 -1 ...
##  $ blueDeaths                  : int  -3 0 4 1 0 -2 -1 8 0 1 ...
##  $ blueAssists                 : int  3 3 -10 -5 -1 4 -2 -8 3 1 ...
##  $ blueEliteMonsters           : int  0 -2 1 1 -1 1 1 -1 -2 1 ...
##  $ blueDragons                 : int  0 -1 1 0 -1 1 1 -1 -1 1 ...
##  $ blueHeralds                 : int  0 -1 0 1 0 0 0 0 -1 0 ...
##  $ blueTowersDestroyed         : int  0 -1 0 0 0 0 0 0 0 0 ...
##  $ blueAvgLevel                : num  -0.2 -0.2 -0.4 0 0 ...
##  $ blueTotalMinionsKilled      : int  -2 -66 -17 -34 -15 4 61 52 -51 -27 ...
##  $ blueTotalJungleMinionsKilled: int  -19 -9 18 8 -10 -17 18 -6 8 -4 ...
##  $ blueWins                    : int  0 0 0 0 0 1 1 0 0 1 ...
##  $ blueGoldDiff                : int  643 -2908 -1172 -1321 -1004 698 2411 -2615 -1979 -1548 ...
##  $ blueExperienceDiff          : int  -8 -1173 -1033 -7 230 101 1563 -800 -771 -1574 ...

設定目標欄位為factor型態

data$blueWins <- as.factor(data$blueWins)
data$blueKills <- as.factor(data$blueKills)

切割資料為train跟test

set.seed(666)
ind <- sample(2 ,nrow(data), replace = T ,prob=c(0.8,0.2))
train = data[ind==1,]
test = data[ind==2,]
train %>% group_by(train$state) %>% count()
test %>% group_by(test$state) %>% count()

輸入記錄的比賽資料

competition <- test[1,]
competition<-rbind(competition,
                  c(-213, -19, -1, -7, 7, -14, 0, -1, 1, -1, 0, -1, 41, 0, -3800, -610),
                  c(172, 15, 1, -3, 3, -2, 0, 1, -1, 0, 0, -16, 16, 1, -2200, -300),
                  c(156, 22, 1, -4, 3, -3, 0, -1, 0, 0, -0.2, 6, 7, 1, -800, -1180),
                  c(-182, -16, 1, 3, -3, -2, -1, -1, 0, 0, 0.2, 8, -5, 0, 1400, 850)
      )
competition <- competition[-1,]
write.csv(competition, file="./dataset//competition.csv",row.names = FALSE)

執行svm

svm_model = svm(formula = blueWins ~ .,data = train)
summary(svm_model)
## 
## Call:
## svm(formula = blueWins ~ ., data = train)
## 
## 
## Parameters:
##    SVM-Type:  C-classification 
##  SVM-Kernel:  radial 
##        cost:  1 
## 
## Number of Support Vectors:  4785
## 
##  ( 2396 2389 )
## 
## 
## Number of Classes:  2 
## 
## Levels: 
##  0 1

預測

train.pred = predict(svm_model, train)
test.pred = predict(svm_model, test)
competition.pred = predict(svm_model, competition)

混淆矩陣: train:0.7316794 test:0.7216444 competition:0.75

train_cf = table(real=train$blueWins, predict=train.pred)
sum(diag(train_cf))/sum(train_cf)
## [1] 0.7316794
test_cf = table(real=test$blueWins, predict=test.pred)
sum(diag(test_cf))/sum(test_cf)
## [1] 0.7216444
competition_cf = table(real=competition$blueWins, predict=competition.pred)
sum(diag(competition_cf))/sum(competition_cf)
## [1] 0.75

XGBOOST: train跟test轉為dummy_matrix

trainy <- train$blueWins %>% as.numeric()-1
testy <- test$blueWins %>% as.numeric()-1
train_dummy <- dummy_cols(train[,-14],remove_first_dummy = T,remove_selected_columns=T) %>% as.matrix()
test_dummy <- dummy_cols(test[-14],remove_first_dummy = T,remove_selected_columns=T) %>% as.matrix()
train_Matrix <- xgb.DMatrix(data=train_dummy,label=trainy,missing = 0)
test_Matrix <- xgb.DMatrix(data=test_dummy,label=testy,missing = 0)

記錄的比賽資料轉為dummy_matrix

competitiony <- competition$blueWins %>% as.numeric()-1
competition_dummy <- dummy_cols(competition[,-14],remove_first_dummy = T,remove_selected_columns=T) %>% as.matrix()
competition_Matrix <- xgb.DMatrix(data=competition_dummy,label=competitiony,missing = 0)

進行XGBOOST調參

xgboost_set <- expand.grid(max_depth =c(5, 20),
                           eta =c(0.3, 0.8, 1),
                           subsample = c(.6, .8, 1), 
                           colsample_bytree = c(.8, 1),
                           min_child_weight =c(1, 3, 5))
for(i in 1:nrow(xgboost_set)){
  params <- list(
    max_depth =xgboost_set$max_depth[i],
    eta =xgboost_set$eta[i],
    subsample =xgboost_set$subsample[i],
    colsample_bytree =xgboost_set$colsample_bytree[i],
    min_child_weight =xgboost_set$min_child_weight[i])
  
  bstDMatrix <- xgb.cv( 
                        data = train_Matrix, 
                        params = params,
                        nfold = 5,
                        nrounds = 500,
                        objective = "multi:softmax",
                        eval_metric ="mlogloss",
                        "num_class" = 2)
  
  xgboost_set$nrounds[i] <- which.min(bstDMatrix$evaluation_log$test_mlogloss_mean)
  xgboost_set$mlogloss[i] <- min(bstDMatrix$evaluation_log$test_mlogloss_mean)
}
## [1]  train-mlogloss:0.616188+0.003292    test-mlogloss:0.622851+0.003318 
## [2]  train-mlogloss:0.572320+0.004125    test-mlogloss:0.584988+0.005181 
## [3]  train-mlogloss:0.545032+0.004216    test-mlogloss:0.564646+0.007160 
## [4]  train-mlogloss:0.526529+0.004373    test-mlogloss:0.551646+0.008728 
## [5]  train-mlogloss:0.513849+0.004312    test-mlogloss:0.543890+0.010447 
## [6]  train-mlogloss:0.505063+0.004163    test-mlogloss:0.540220+0.011098 
## [7]  train-mlogloss:0.497822+0.003824    test-mlogloss:0.539086+0.012755 
## [8]  train-mlogloss:0.491871+0.003920    test-mlogloss:0.537716+0.013814 
## [9]  train-mlogloss:0.487187+0.004108    test-mlogloss:0.537031+0.014529 
## [10] train-mlogloss:0.482976+0.004404    test-mlogloss:0.537169+0.015587 
## [11] train-mlogloss:0.478999+0.004577    test-mlogloss:0.537579+0.016727 
## [12] train-mlogloss:0.475603+0.005153    test-mlogloss:0.538306+0.017188 
## [13] train-mlogloss:0.472927+0.004264    test-mlogloss:0.538302+0.017490 
## [14] train-mlogloss:0.469308+0.004305    test-mlogloss:0.538825+0.017099 
## [15] train-mlogloss:0.466104+0.003726    test-mlogloss:0.539405+0.017622 
## [16] train-mlogloss:0.463287+0.003787    test-mlogloss:0.540241+0.017944 
## [17] train-mlogloss:0.460178+0.003779    test-mlogloss:0.540976+0.017919 
## [18] train-mlogloss:0.457175+0.004306    test-mlogloss:0.542040+0.018121 
## [19] train-mlogloss:0.453715+0.004157    test-mlogloss:0.542960+0.018067 
## [20] train-mlogloss:0.450168+0.003537    test-mlogloss:0.544018+0.018101 
## [21] train-mlogloss:0.446684+0.004267    test-mlogloss:0.544647+0.018261 
## [22] train-mlogloss:0.443406+0.004237    test-mlogloss:0.546209+0.018357 
## [23] train-mlogloss:0.440273+0.004608    test-mlogloss:0.547100+0.018547 
## [24] train-mlogloss:0.437347+0.004872    test-mlogloss:0.548578+0.018788 
## [25] train-mlogloss:0.433986+0.004953    test-mlogloss:0.549278+0.019064 
## [26] train-mlogloss:0.430886+0.005144    test-mlogloss:0.549906+0.019721 
## [27] train-mlogloss:0.428112+0.005188    test-mlogloss:0.550149+0.019189 
## [28] train-mlogloss:0.425377+0.005262    test-mlogloss:0.550896+0.019132 
## [29] train-mlogloss:0.422896+0.005563    test-mlogloss:0.551444+0.019262 
## [30] train-mlogloss:0.420503+0.005389    test-mlogloss:0.551857+0.019539 
## [31] train-mlogloss:0.416945+0.005510    test-mlogloss:0.552722+0.019995 
## [32] train-mlogloss:0.414398+0.005354    test-mlogloss:0.553087+0.019881 
## [33] train-mlogloss:0.411401+0.005041    test-mlogloss:0.553745+0.019007 
## [34] train-mlogloss:0.408618+0.004795    test-mlogloss:0.554868+0.018667 
## [35] train-mlogloss:0.405675+0.004202    test-mlogloss:0.555001+0.018467 
## [36] train-mlogloss:0.403093+0.004473    test-mlogloss:0.555189+0.018164 
## [37] train-mlogloss:0.400829+0.004636    test-mlogloss:0.555639+0.018614 
## [38] train-mlogloss:0.398044+0.004485    test-mlogloss:0.556438+0.018023 
## [39] train-mlogloss:0.395144+0.004455    test-mlogloss:0.557075+0.018395 
## [40] train-mlogloss:0.392303+0.004927    test-mlogloss:0.558315+0.018714 
## [41] train-mlogloss:0.389937+0.004536    test-mlogloss:0.559432+0.018351 
## [42] train-mlogloss:0.387860+0.004246    test-mlogloss:0.560161+0.018191 
## [43] train-mlogloss:0.385070+0.004583    test-mlogloss:0.561243+0.017789 
## [44] train-mlogloss:0.382831+0.004687    test-mlogloss:0.561434+0.017646 
## [45] train-mlogloss:0.380333+0.004634    test-mlogloss:0.561956+0.018029 
## [46] train-mlogloss:0.377984+0.005064    test-mlogloss:0.562593+0.018316 
## [47] train-mlogloss:0.375646+0.005079    test-mlogloss:0.563446+0.018552 
## [48] train-mlogloss:0.373129+0.005024    test-mlogloss:0.564868+0.018589 
## [49] train-mlogloss:0.370985+0.005020    test-mlogloss:0.565442+0.018421 
## [50] train-mlogloss:0.368397+0.004897    test-mlogloss:0.566077+0.018749 
## [51] train-mlogloss:0.366014+0.004847    test-mlogloss:0.566139+0.018683 
## [52] train-mlogloss:0.363649+0.005048    test-mlogloss:0.566589+0.018964 
## [53] train-mlogloss:0.360958+0.005349    test-mlogloss:0.566980+0.019013 
## [54] train-mlogloss:0.358419+0.005508    test-mlogloss:0.567418+0.019087 
## [55] train-mlogloss:0.355734+0.005320    test-mlogloss:0.567867+0.018725 
## [56] train-mlogloss:0.353310+0.005835    test-mlogloss:0.568778+0.019366 
## [57] train-mlogloss:0.351266+0.005772    test-mlogloss:0.569330+0.019315 
## [58] train-mlogloss:0.349308+0.005494    test-mlogloss:0.570022+0.019446 
## [59] train-mlogloss:0.347064+0.005517    test-mlogloss:0.571027+0.019711 
## [60] train-mlogloss:0.344803+0.005724    test-mlogloss:0.571570+0.019431 
## [61] train-mlogloss:0.342549+0.005708    test-mlogloss:0.572043+0.019879 
## [62] train-mlogloss:0.340148+0.005800    test-mlogloss:0.572332+0.019902 
## [63] train-mlogloss:0.338005+0.006035    test-mlogloss:0.573261+0.020213 
## [64] train-mlogloss:0.335899+0.005934    test-mlogloss:0.573571+0.019980 
## [65] train-mlogloss:0.334014+0.006324    test-mlogloss:0.574336+0.019825 
## [66] train-mlogloss:0.331751+0.006062    test-mlogloss:0.574876+0.020128 
## [67] train-mlogloss:0.329763+0.005906    test-mlogloss:0.575272+0.020345 
## [68] train-mlogloss:0.328028+0.006165    test-mlogloss:0.575598+0.020004 
## [69] train-mlogloss:0.325858+0.005981    test-mlogloss:0.575766+0.019889 
## [70] train-mlogloss:0.323906+0.005950    test-mlogloss:0.576389+0.020510 
## [71] train-mlogloss:0.322223+0.005702    test-mlogloss:0.576378+0.020708 
## [72] train-mlogloss:0.320846+0.005765    test-mlogloss:0.576861+0.020875 
## [73] train-mlogloss:0.319050+0.005746    test-mlogloss:0.577923+0.021271 
## [74] train-mlogloss:0.317249+0.005453    test-mlogloss:0.579419+0.021775 
## [75] train-mlogloss:0.315447+0.005435    test-mlogloss:0.580054+0.021730 
## [76] train-mlogloss:0.313639+0.005359    test-mlogloss:0.580753+0.021940 
## [77] train-mlogloss:0.311896+0.005299    test-mlogloss:0.581101+0.021937 
## [78] train-mlogloss:0.309799+0.005405    test-mlogloss:0.581786+0.022484 
## [79] train-mlogloss:0.308147+0.005274    test-mlogloss:0.582596+0.022454 
## [80] train-mlogloss:0.306513+0.005387    test-mlogloss:0.583231+0.022799 
## [81] train-mlogloss:0.304568+0.005155    test-mlogloss:0.584117+0.022588 
## [82] train-mlogloss:0.302780+0.005144    test-mlogloss:0.585275+0.022597 
## [83] train-mlogloss:0.301100+0.004921    test-mlogloss:0.585879+0.022818 
## [84] train-mlogloss:0.299457+0.004775    test-mlogloss:0.586895+0.023077 
## [85] train-mlogloss:0.297971+0.004845    test-mlogloss:0.587431+0.023086 
## [86] train-mlogloss:0.296145+0.005053    test-mlogloss:0.588509+0.023095 
## [87] train-mlogloss:0.294346+0.005035    test-mlogloss:0.589218+0.023511 
## [88] train-mlogloss:0.292825+0.005255    test-mlogloss:0.590214+0.023652 
## [89] train-mlogloss:0.290959+0.005357    test-mlogloss:0.591820+0.023839 
## [90] train-mlogloss:0.289186+0.005337    test-mlogloss:0.592164+0.024438 
## [91] train-mlogloss:0.287348+0.005157    test-mlogloss:0.593400+0.024687 
## [92] train-mlogloss:0.285948+0.004925    test-mlogloss:0.593727+0.024289 
## [93] train-mlogloss:0.284156+0.005108    test-mlogloss:0.594281+0.024237 
## [94] train-mlogloss:0.281953+0.004824    test-mlogloss:0.594989+0.024800 
## [95] train-mlogloss:0.280185+0.004711    test-mlogloss:0.595841+0.024694 
## [96] train-mlogloss:0.278505+0.004474    test-mlogloss:0.596043+0.024825 
## [97] train-mlogloss:0.276601+0.004361    test-mlogloss:0.596282+0.025336 
## [98] train-mlogloss:0.274920+0.004617    test-mlogloss:0.596598+0.024799 
## [99] train-mlogloss:0.273377+0.004807    test-mlogloss:0.596977+0.024951 
## [100]    train-mlogloss:0.271540+0.004751    test-mlogloss:0.597807+0.025344 
## [101]    train-mlogloss:0.269952+0.004485    test-mlogloss:0.598315+0.025498 
## [102]    train-mlogloss:0.268159+0.004473    test-mlogloss:0.599317+0.025576 
## [103]    train-mlogloss:0.266513+0.004437    test-mlogloss:0.599748+0.025764 
## [104]    train-mlogloss:0.264801+0.004488    test-mlogloss:0.600509+0.026028 
## [105]    train-mlogloss:0.263252+0.004463    test-mlogloss:0.601103+0.026228 
## [106]    train-mlogloss:0.261921+0.004205    test-mlogloss:0.602128+0.027021 
## [107]    train-mlogloss:0.259966+0.004174    test-mlogloss:0.602320+0.026662 
## [108]    train-mlogloss:0.258583+0.004016    test-mlogloss:0.602680+0.026481 
## [109]    train-mlogloss:0.256743+0.004062    test-mlogloss:0.602911+0.025789 
## [110]    train-mlogloss:0.255195+0.003844    test-mlogloss:0.603571+0.025675 
## [111]    train-mlogloss:0.253621+0.003928    test-mlogloss:0.604384+0.026074 
## [112]    train-mlogloss:0.252398+0.003975    test-mlogloss:0.605233+0.025889 
## [113]    train-mlogloss:0.250804+0.003914    test-mlogloss:0.605849+0.026029 
## [114]    train-mlogloss:0.249429+0.003867    test-mlogloss:0.605875+0.026510 
## [115]    train-mlogloss:0.247961+0.004063    test-mlogloss:0.606255+0.026633 
## [116]    train-mlogloss:0.246559+0.004484    test-mlogloss:0.606932+0.026355 
## [117]    train-mlogloss:0.245003+0.004668    test-mlogloss:0.607530+0.026388 
## [118]    train-mlogloss:0.243630+0.004900    test-mlogloss:0.608713+0.026827 
## [119]    train-mlogloss:0.241866+0.004945    test-mlogloss:0.609911+0.026638 
## [120]    train-mlogloss:0.240507+0.005122    test-mlogloss:0.609957+0.026016 
## [121]    train-mlogloss:0.239334+0.005262    test-mlogloss:0.610927+0.026643 
## [122]    train-mlogloss:0.238133+0.005126    test-mlogloss:0.611848+0.026558 
## [123]    train-mlogloss:0.236737+0.005253    test-mlogloss:0.612610+0.026458 
## [124]    train-mlogloss:0.235343+0.005138    test-mlogloss:0.613094+0.026507 
## [125]    train-mlogloss:0.234063+0.004975    test-mlogloss:0.613649+0.025747 
## [126]    train-mlogloss:0.232647+0.004896    test-mlogloss:0.614701+0.025510 
## [127]    train-mlogloss:0.231228+0.004962    test-mlogloss:0.615520+0.025704 
## [128]    train-mlogloss:0.229923+0.004874    test-mlogloss:0.615989+0.025953 
## [129]    train-mlogloss:0.228541+0.004644    test-mlogloss:0.616882+0.025790 
## [130]    train-mlogloss:0.226963+0.004873    test-mlogloss:0.617778+0.025852 
## [131]    train-mlogloss:0.225729+0.004840    test-mlogloss:0.618240+0.026020 
## [132]    train-mlogloss:0.224262+0.004867    test-mlogloss:0.619165+0.025604 
## [133]    train-mlogloss:0.222982+0.004772    test-mlogloss:0.620188+0.026225 
## [134]    train-mlogloss:0.221558+0.004651    test-mlogloss:0.620458+0.025818 
## [135]    train-mlogloss:0.220306+0.004593    test-mlogloss:0.621010+0.025434 
## [136]    train-mlogloss:0.218926+0.004647    test-mlogloss:0.621412+0.025908 
## [137]    train-mlogloss:0.217834+0.004627    test-mlogloss:0.621861+0.026005 
## [138]    train-mlogloss:0.216692+0.004638    test-mlogloss:0.622147+0.025733 
## [139]    train-mlogloss:0.215345+0.004678    test-mlogloss:0.622388+0.025547 
## [140]    train-mlogloss:0.214173+0.004600    test-mlogloss:0.622951+0.025358 
## [141]    train-mlogloss:0.212972+0.004628    test-mlogloss:0.623833+0.025706 
## [142]    train-mlogloss:0.211649+0.004581    test-mlogloss:0.624238+0.026264 
## [143]    train-mlogloss:0.210554+0.004458    test-mlogloss:0.624791+0.026172 
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## [397]    train-mlogloss:0.057990+0.002676    test-mlogloss:0.772210+0.044012 
## [398]    train-mlogloss:0.057763+0.002687    test-mlogloss:0.772722+0.044195 
## [399]    train-mlogloss:0.057511+0.002701    test-mlogloss:0.773221+0.044042 
## [400]    train-mlogloss:0.057239+0.002720    test-mlogloss:0.773704+0.044521 
## [401]    train-mlogloss:0.057026+0.002729    test-mlogloss:0.774490+0.044741 
## [402]    train-mlogloss:0.056751+0.002732    test-mlogloss:0.775174+0.044624 
## [403]    train-mlogloss:0.056515+0.002765    test-mlogloss:0.775620+0.044726 
## [404]    train-mlogloss:0.056267+0.002687    test-mlogloss:0.776380+0.045076 
## [405]    train-mlogloss:0.056048+0.002670    test-mlogloss:0.776671+0.045017 
## [406]    train-mlogloss:0.055796+0.002656    test-mlogloss:0.776810+0.045219 
## [407]    train-mlogloss:0.055482+0.002651    test-mlogloss:0.777389+0.044914 
## [408]    train-mlogloss:0.055203+0.002620    test-mlogloss:0.778043+0.045041 
## [409]    train-mlogloss:0.054908+0.002601    test-mlogloss:0.778645+0.044797 
## [410]    train-mlogloss:0.054637+0.002638    test-mlogloss:0.779067+0.044926 
## [411]    train-mlogloss:0.054376+0.002624    test-mlogloss:0.780293+0.044982 
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## [414]    train-mlogloss:0.053692+0.002631    test-mlogloss:0.781819+0.045293 
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## [417]    train-mlogloss:0.052961+0.002655    test-mlogloss:0.783951+0.045579 
## [418]    train-mlogloss:0.052716+0.002645    test-mlogloss:0.784312+0.045647 
## [419]    train-mlogloss:0.052467+0.002649    test-mlogloss:0.784597+0.045607 
## [420]    train-mlogloss:0.052265+0.002652    test-mlogloss:0.784781+0.045423 
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## [422]    train-mlogloss:0.051764+0.002589    test-mlogloss:0.785720+0.045731 
## [423]    train-mlogloss:0.051573+0.002556    test-mlogloss:0.786299+0.045566 
## [424]    train-mlogloss:0.051332+0.002582    test-mlogloss:0.786881+0.045381 
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## [426]    train-mlogloss:0.050921+0.002578    test-mlogloss:0.788024+0.045538 
## [427]    train-mlogloss:0.050714+0.002582    test-mlogloss:0.788140+0.045697 
## [428]    train-mlogloss:0.050493+0.002620    test-mlogloss:0.789069+0.045540 
## [429]    train-mlogloss:0.050293+0.002583    test-mlogloss:0.789226+0.045506 
## [430]    train-mlogloss:0.050067+0.002577    test-mlogloss:0.789362+0.045703 
## [431]    train-mlogloss:0.049837+0.002562    test-mlogloss:0.789503+0.045685 
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## [434]    train-mlogloss:0.049245+0.002606    test-mlogloss:0.791017+0.045761 
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## [445]    train-mlogloss:0.047026+0.002461    test-mlogloss:0.795761+0.046169 
## [446]    train-mlogloss:0.046795+0.002477    test-mlogloss:0.796618+0.046233 
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## [448]    train-mlogloss:0.046394+0.002486    test-mlogloss:0.796840+0.046067 
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## [450]    train-mlogloss:0.045995+0.002529    test-mlogloss:0.798216+0.046387 
## [451]    train-mlogloss:0.045844+0.002536    test-mlogloss:0.798695+0.046879 
## [452]    train-mlogloss:0.045636+0.002535    test-mlogloss:0.799545+0.046839 
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## [454]    train-mlogloss:0.045246+0.002476    test-mlogloss:0.800614+0.047368 
## [455]    train-mlogloss:0.045059+0.002499    test-mlogloss:0.801109+0.047217 
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## [458]    train-mlogloss:0.044505+0.002461    test-mlogloss:0.803036+0.047540 
## [459]    train-mlogloss:0.044320+0.002455    test-mlogloss:0.803341+0.047836 
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## [462]    train-mlogloss:0.043777+0.002399    test-mlogloss:0.805203+0.048575 
## [463]    train-mlogloss:0.043609+0.002391    test-mlogloss:0.805509+0.048634 
## [464]    train-mlogloss:0.043441+0.002364    test-mlogloss:0.805818+0.048767 
## [465]    train-mlogloss:0.043286+0.002355    test-mlogloss:0.806459+0.048851 
## [466]    train-mlogloss:0.043137+0.002343    test-mlogloss:0.806559+0.048617 
## [467]    train-mlogloss:0.042943+0.002323    test-mlogloss:0.806854+0.048333 
## [468]    train-mlogloss:0.042735+0.002328    test-mlogloss:0.807266+0.048459 
## [469]    train-mlogloss:0.042568+0.002366    test-mlogloss:0.808250+0.048657 
## [470]    train-mlogloss:0.042413+0.002343    test-mlogloss:0.808575+0.048392 
## [471]    train-mlogloss:0.042236+0.002319    test-mlogloss:0.809281+0.048384 
## [472]    train-mlogloss:0.042094+0.002295    test-mlogloss:0.809788+0.048609 
## [473]    train-mlogloss:0.041914+0.002296    test-mlogloss:0.809998+0.048822 
## [474]    train-mlogloss:0.041740+0.002271    test-mlogloss:0.810575+0.048676 
## [475]    train-mlogloss:0.041578+0.002226    test-mlogloss:0.811039+0.048270 
## [476]    train-mlogloss:0.041427+0.002204    test-mlogloss:0.811806+0.048244 
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## [478]    train-mlogloss:0.041106+0.002207    test-mlogloss:0.813352+0.048045 
## [479]    train-mlogloss:0.040926+0.002195    test-mlogloss:0.814189+0.048074 
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## [481]    train-mlogloss:0.040613+0.002139    test-mlogloss:0.814366+0.047615 
## [482]    train-mlogloss:0.040479+0.002142    test-mlogloss:0.814906+0.047806 
## [483]    train-mlogloss:0.040312+0.002155    test-mlogloss:0.815735+0.047798 
## [484]    train-mlogloss:0.040118+0.002160    test-mlogloss:0.816456+0.047761 
## [485]    train-mlogloss:0.039960+0.002176    test-mlogloss:0.817026+0.047613 
## [486]    train-mlogloss:0.039825+0.002171    test-mlogloss:0.817643+0.047949 
## [487]    train-mlogloss:0.039657+0.002183    test-mlogloss:0.817927+0.047966 
## [488]    train-mlogloss:0.039509+0.002182    test-mlogloss:0.818205+0.048300 
## [489]    train-mlogloss:0.039371+0.002167    test-mlogloss:0.818519+0.048366 
## [490]    train-mlogloss:0.039224+0.002168    test-mlogloss:0.819194+0.048446 
## [491]    train-mlogloss:0.039058+0.002146    test-mlogloss:0.819940+0.048679 
## [492]    train-mlogloss:0.038889+0.002139    test-mlogloss:0.820503+0.048943 
## [493]    train-mlogloss:0.038748+0.002101    test-mlogloss:0.821142+0.048817 
## [494]    train-mlogloss:0.038595+0.002087    test-mlogloss:0.821636+0.049012 
## [495]    train-mlogloss:0.038450+0.002093    test-mlogloss:0.821712+0.048699 
## [496]    train-mlogloss:0.038309+0.002107    test-mlogloss:0.822164+0.049189 
## [497]    train-mlogloss:0.038151+0.002044    test-mlogloss:0.822320+0.049409 
## [498]    train-mlogloss:0.037994+0.002051    test-mlogloss:0.823232+0.049680 
## [499]    train-mlogloss:0.037854+0.002074    test-mlogloss:0.823579+0.049650 
## [500]    train-mlogloss:0.037728+0.002077    test-mlogloss:0.823918+0.049398 
## [1]  train-mlogloss:0.558915+0.001447    test-mlogloss:0.631037+0.006622 
## [2]  train-mlogloss:0.471089+0.002121    test-mlogloss:0.599976+0.005979 
## [3]  train-mlogloss:0.405248+0.001824    test-mlogloss:0.584185+0.005509 
## [4]  train-mlogloss:0.352497+0.001446    test-mlogloss:0.573314+0.006995 
## [5]  train-mlogloss:0.310832+0.001121    test-mlogloss:0.568214+0.008175 
## [6]  train-mlogloss:0.275749+0.000894    test-mlogloss:0.566593+0.008846 
## [7]  train-mlogloss:0.248073+0.000938    test-mlogloss:0.567648+0.007331 
## [8]  train-mlogloss:0.224799+0.000908    test-mlogloss:0.569063+0.006552 
## [9]  train-mlogloss:0.204632+0.001622    test-mlogloss:0.573638+0.008182 
## [10] train-mlogloss:0.188784+0.003230    test-mlogloss:0.578454+0.009136 
## [11] train-mlogloss:0.174840+0.003449    test-mlogloss:0.583181+0.009057 
## [12] train-mlogloss:0.162990+0.003324    test-mlogloss:0.586562+0.008657 
## [13] train-mlogloss:0.152916+0.003904    test-mlogloss:0.590550+0.009620 
## [14] train-mlogloss:0.143114+0.003169    test-mlogloss:0.594573+0.009111 
## [15] train-mlogloss:0.133742+0.002370    test-mlogloss:0.598815+0.009142 
## [16] train-mlogloss:0.125402+0.002106    test-mlogloss:0.603684+0.008416 
## [17] train-mlogloss:0.118045+0.001377    test-mlogloss:0.608424+0.008356 
## [18] train-mlogloss:0.111226+0.001618    test-mlogloss:0.612710+0.009377 
## [19] train-mlogloss:0.105140+0.001294    test-mlogloss:0.617170+0.009733 
## [20] train-mlogloss:0.098796+0.001402    test-mlogloss:0.621177+0.010326 
## [21] train-mlogloss:0.093392+0.001221    test-mlogloss:0.624483+0.010462 
## [22] train-mlogloss:0.088342+0.001281    test-mlogloss:0.629336+0.011287 
## [23] train-mlogloss:0.083974+0.001100    test-mlogloss:0.632224+0.011775 
## [24] train-mlogloss:0.080134+0.001239    test-mlogloss:0.636445+0.011747 
## [25] train-mlogloss:0.076606+0.001137    test-mlogloss:0.639190+0.012118 
## [26] train-mlogloss:0.073031+0.000955    test-mlogloss:0.642484+0.011805 
## [27] train-mlogloss:0.069863+0.000956    test-mlogloss:0.645702+0.012727 
## [28] train-mlogloss:0.066995+0.001014    test-mlogloss:0.649584+0.013263 
## [29] train-mlogloss:0.064156+0.000911    test-mlogloss:0.652913+0.013531 
## [30] train-mlogloss:0.061517+0.000900    test-mlogloss:0.656113+0.014607 
## [31] train-mlogloss:0.059239+0.000717    test-mlogloss:0.658284+0.014553 
## [32] train-mlogloss:0.056996+0.000637    test-mlogloss:0.661766+0.015359 
## [33] train-mlogloss:0.054890+0.000677    test-mlogloss:0.664756+0.015226 
## [34] train-mlogloss:0.052930+0.000684    test-mlogloss:0.668152+0.015714 
## [35] train-mlogloss:0.051106+0.000639    test-mlogloss:0.671883+0.015683 
## [36] train-mlogloss:0.049396+0.000685    test-mlogloss:0.674584+0.017449 
## [37] train-mlogloss:0.047716+0.000595    test-mlogloss:0.677900+0.017155 
## [38] train-mlogloss:0.046192+0.000593    test-mlogloss:0.681129+0.017181 
## [39] train-mlogloss:0.044718+0.000573    test-mlogloss:0.683270+0.017725 
## [40] train-mlogloss:0.043420+0.000490    test-mlogloss:0.686058+0.017541 
## [41] train-mlogloss:0.042160+0.000429    test-mlogloss:0.689089+0.018328 
## [42] train-mlogloss:0.040974+0.000396    test-mlogloss:0.690786+0.019344 
## [43] train-mlogloss:0.039853+0.000375    test-mlogloss:0.692977+0.019557 
## [44] train-mlogloss:0.038760+0.000356    test-mlogloss:0.695214+0.019716 
## [45] train-mlogloss:0.037750+0.000336    test-mlogloss:0.696941+0.019899 
## [46] train-mlogloss:0.036748+0.000341    test-mlogloss:0.699575+0.019818 
## [47] train-mlogloss:0.035846+0.000364    test-mlogloss:0.701976+0.020412 
## [48] train-mlogloss:0.034956+0.000386    test-mlogloss:0.704304+0.020596 
## [49] train-mlogloss:0.034109+0.000392    test-mlogloss:0.706204+0.020889 
## [50] train-mlogloss:0.033301+0.000343    test-mlogloss:0.708173+0.020549 
## [51] train-mlogloss:0.032516+0.000323    test-mlogloss:0.709583+0.021045 
## [52] train-mlogloss:0.031810+0.000329    test-mlogloss:0.711665+0.021219 
## [53] train-mlogloss:0.031104+0.000333    test-mlogloss:0.714090+0.021295 
## [54] train-mlogloss:0.030438+0.000304    test-mlogloss:0.716323+0.021500 
## [55] train-mlogloss:0.029798+0.000276    test-mlogloss:0.718163+0.021634 
## [56] train-mlogloss:0.029220+0.000287    test-mlogloss:0.719944+0.021157 
## [57] train-mlogloss:0.028649+0.000278    test-mlogloss:0.722133+0.022130 
## [58] train-mlogloss:0.028093+0.000271    test-mlogloss:0.723885+0.022664 
## [59] train-mlogloss:0.027510+0.000274    test-mlogloss:0.726102+0.023451 
## [60] train-mlogloss:0.026995+0.000249    test-mlogloss:0.728384+0.023678 
## [61] train-mlogloss:0.026490+0.000247    test-mlogloss:0.730311+0.024133 
## [62] train-mlogloss:0.026006+0.000223    test-mlogloss:0.732334+0.023789 
## [63] train-mlogloss:0.025542+0.000212    test-mlogloss:0.734609+0.024150 
## [64] train-mlogloss:0.025088+0.000226    test-mlogloss:0.735747+0.024555 
## [65] train-mlogloss:0.024693+0.000226    test-mlogloss:0.737866+0.024247 
## [66] train-mlogloss:0.024262+0.000214    test-mlogloss:0.739852+0.024159 
## [67] train-mlogloss:0.023876+0.000197    test-mlogloss:0.741417+0.024918 
## [68] train-mlogloss:0.023528+0.000211    test-mlogloss:0.742657+0.025043 
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## [70] train-mlogloss:0.022789+0.000205    test-mlogloss:0.745640+0.025572 
## [71] train-mlogloss:0.022435+0.000192    test-mlogloss:0.746759+0.024953 
## [72] train-mlogloss:0.022108+0.000184    test-mlogloss:0.748200+0.024785 
## [73] train-mlogloss:0.021789+0.000184    test-mlogloss:0.749565+0.025526 
## [74] train-mlogloss:0.021465+0.000192    test-mlogloss:0.751238+0.026031 
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## [77] train-mlogloss:0.020551+0.000180    test-mlogloss:0.756426+0.026214 
## [78] train-mlogloss:0.020273+0.000167    test-mlogloss:0.758337+0.025845 
## [79] train-mlogloss:0.019991+0.000153    test-mlogloss:0.759928+0.025850 
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## [87] train-mlogloss:0.018037+0.000148    test-mlogloss:0.772159+0.027817 
## [88] train-mlogloss:0.017828+0.000148    test-mlogloss:0.773327+0.027564 
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## [91] train-mlogloss:0.017212+0.000148    test-mlogloss:0.777064+0.027684 
## [92] train-mlogloss:0.017025+0.000140    test-mlogloss:0.778650+0.028070 
## [93] train-mlogloss:0.016836+0.000140    test-mlogloss:0.779277+0.027260 
## [94] train-mlogloss:0.016655+0.000135    test-mlogloss:0.780192+0.026938 
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## [97] train-mlogloss:0.016136+0.000136    test-mlogloss:0.784762+0.027662 
## [98] train-mlogloss:0.015955+0.000134    test-mlogloss:0.786180+0.027760 
## [99] train-mlogloss:0.015792+0.000126    test-mlogloss:0.787412+0.028004 
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## [467]    train-mlogloss:0.004215+0.000019    test-mlogloss:0.966365+0.040092 
## [468]    train-mlogloss:0.004208+0.000019    test-mlogloss:0.966623+0.040127 
## [469]    train-mlogloss:0.004202+0.000019    test-mlogloss:0.966852+0.040215 
## [470]    train-mlogloss:0.004195+0.000019    test-mlogloss:0.966885+0.040072 
## [471]    train-mlogloss:0.004189+0.000019    test-mlogloss:0.967324+0.039954 
## [472]    train-mlogloss:0.004183+0.000018    test-mlogloss:0.967400+0.039979 
## [473]    train-mlogloss:0.004176+0.000019    test-mlogloss:0.967675+0.039999 
## [474]    train-mlogloss:0.004170+0.000018    test-mlogloss:0.968006+0.039961 
## [475]    train-mlogloss:0.004164+0.000018    test-mlogloss:0.968479+0.040068 
## [476]    train-mlogloss:0.004158+0.000017    test-mlogloss:0.968624+0.040204 
## [477]    train-mlogloss:0.004152+0.000018    test-mlogloss:0.968659+0.040017 
## [478]    train-mlogloss:0.004146+0.000018    test-mlogloss:0.968989+0.039699 
## [479]    train-mlogloss:0.004140+0.000017    test-mlogloss:0.968993+0.039627 
## [480]    train-mlogloss:0.004134+0.000017    test-mlogloss:0.968952+0.039406 
## [481]    train-mlogloss:0.004128+0.000018    test-mlogloss:0.968989+0.039233 
## [482]    train-mlogloss:0.004123+0.000018    test-mlogloss:0.969097+0.039149 
## [483]    train-mlogloss:0.004118+0.000018    test-mlogloss:0.969527+0.039334 
## [484]    train-mlogloss:0.004112+0.000018    test-mlogloss:0.969925+0.039253 
## [485]    train-mlogloss:0.004106+0.000017    test-mlogloss:0.969786+0.039440 
## [486]    train-mlogloss:0.004100+0.000017    test-mlogloss:0.970019+0.039389 
## [487]    train-mlogloss:0.004094+0.000018    test-mlogloss:0.970191+0.039372 
## [488]    train-mlogloss:0.004088+0.000018    test-mlogloss:0.970755+0.039393 
## [489]    train-mlogloss:0.004082+0.000018    test-mlogloss:0.971014+0.039395 
## [490]    train-mlogloss:0.004077+0.000017    test-mlogloss:0.971015+0.039495 
## [491]    train-mlogloss:0.004071+0.000016    test-mlogloss:0.971451+0.039778 
## [492]    train-mlogloss:0.004065+0.000017    test-mlogloss:0.971728+0.040077 
## [493]    train-mlogloss:0.004059+0.000017    test-mlogloss:0.972361+0.039897 
## [494]    train-mlogloss:0.004053+0.000017    test-mlogloss:0.972809+0.039967 
## [495]    train-mlogloss:0.004047+0.000017    test-mlogloss:0.972946+0.039950 
## [496]    train-mlogloss:0.004041+0.000017    test-mlogloss:0.972981+0.039655 
## [497]    train-mlogloss:0.004036+0.000017    test-mlogloss:0.972988+0.039842 
## [498]    train-mlogloss:0.004031+0.000017    test-mlogloss:0.973111+0.039691 
## [499]    train-mlogloss:0.004024+0.000017    test-mlogloss:0.973212+0.039708 
## [500]    train-mlogloss:0.004018+0.000018    test-mlogloss:0.973272+0.039636 
## [1]  train-mlogloss:0.539318+0.000592    test-mlogloss:0.558171+0.002820 
## [2]  train-mlogloss:0.510139+0.000898    test-mlogloss:0.542347+0.004241 
## [3]  train-mlogloss:0.498029+0.001834    test-mlogloss:0.542037+0.006919 
## [4]  train-mlogloss:0.488444+0.003114    test-mlogloss:0.545829+0.006926 
## [5]  train-mlogloss:0.479684+0.002962    test-mlogloss:0.548069+0.006315 
## [6]  train-mlogloss:0.472677+0.002737    test-mlogloss:0.550778+0.006494 
## [7]  train-mlogloss:0.462949+0.002672    test-mlogloss:0.555776+0.006836 
## [8]  train-mlogloss:0.454326+0.003072    test-mlogloss:0.560344+0.008003 
## [9]  train-mlogloss:0.446061+0.003892    test-mlogloss:0.563645+0.008442 
## [10] train-mlogloss:0.438907+0.003742    test-mlogloss:0.566954+0.006654 
## [11] train-mlogloss:0.433163+0.004126    test-mlogloss:0.570231+0.007760 
## [12] train-mlogloss:0.426032+0.003175    test-mlogloss:0.575989+0.008702 
## [13] train-mlogloss:0.419164+0.004084    test-mlogloss:0.578357+0.009478 
## [14] train-mlogloss:0.411475+0.003316    test-mlogloss:0.581679+0.011002 
## [15] train-mlogloss:0.405527+0.003443    test-mlogloss:0.584876+0.010612 
## [16] train-mlogloss:0.398483+0.002846    test-mlogloss:0.587795+0.010698 
## [17] train-mlogloss:0.392471+0.003392    test-mlogloss:0.591375+0.012361 
## [18] train-mlogloss:0.385139+0.003431    test-mlogloss:0.592838+0.014366 
## [19] train-mlogloss:0.379209+0.002687    test-mlogloss:0.598317+0.013839 
## [20] train-mlogloss:0.373442+0.003565    test-mlogloss:0.602557+0.014200 
## [21] train-mlogloss:0.367557+0.003300    test-mlogloss:0.605888+0.014771 
## [22] train-mlogloss:0.361091+0.003160    test-mlogloss:0.608080+0.013067 
## [23] train-mlogloss:0.355059+0.002463    test-mlogloss:0.610454+0.012579 
## [24] train-mlogloss:0.349976+0.003413    test-mlogloss:0.612690+0.013853 
## [25] train-mlogloss:0.344229+0.003667    test-mlogloss:0.615286+0.014527 
## [26] train-mlogloss:0.338546+0.003606    test-mlogloss:0.617898+0.014110 
## [27] train-mlogloss:0.333421+0.003522    test-mlogloss:0.620756+0.013784 
## [28] train-mlogloss:0.329004+0.003590    test-mlogloss:0.622456+0.014462 
## [29] train-mlogloss:0.323710+0.003823    test-mlogloss:0.625105+0.014180 
## [30] train-mlogloss:0.318598+0.004182    test-mlogloss:0.627725+0.015019 
## [31] train-mlogloss:0.313546+0.003692    test-mlogloss:0.631127+0.015665 
## [32] train-mlogloss:0.308930+0.004103    test-mlogloss:0.635631+0.016189 
## [33] train-mlogloss:0.303864+0.004195    test-mlogloss:0.637358+0.015920 
## [34] train-mlogloss:0.299512+0.004067    test-mlogloss:0.641086+0.017775 
## [35] train-mlogloss:0.295424+0.003710    test-mlogloss:0.645491+0.018754 
## [36] train-mlogloss:0.290956+0.004111    test-mlogloss:0.649491+0.018899 
## [37] train-mlogloss:0.286642+0.003981    test-mlogloss:0.652408+0.017937 
## [38] train-mlogloss:0.281482+0.004433    test-mlogloss:0.655054+0.019898 
## [39] train-mlogloss:0.277101+0.003851    test-mlogloss:0.658203+0.020753 
## [40] train-mlogloss:0.273044+0.004018    test-mlogloss:0.660677+0.021315 
## [41] train-mlogloss:0.268660+0.004374    test-mlogloss:0.662856+0.021495 
## [42] train-mlogloss:0.264808+0.003773    test-mlogloss:0.665450+0.021354 
## [43] train-mlogloss:0.260922+0.003896    test-mlogloss:0.667915+0.021756 
## [44] train-mlogloss:0.256477+0.003849    test-mlogloss:0.669411+0.021073 
## [45] train-mlogloss:0.252533+0.003415    test-mlogloss:0.672264+0.021733 
## [46] train-mlogloss:0.249051+0.003245    test-mlogloss:0.673983+0.022824 
## [47] train-mlogloss:0.245396+0.003261    test-mlogloss:0.676030+0.023413 
## [48] train-mlogloss:0.241971+0.003246    test-mlogloss:0.679884+0.022658 
## [49] train-mlogloss:0.238900+0.002969    test-mlogloss:0.681196+0.022708 
## [50] train-mlogloss:0.235153+0.002860    test-mlogloss:0.685311+0.025678 
## [51] train-mlogloss:0.231922+0.003059    test-mlogloss:0.687564+0.027171 
## [52] train-mlogloss:0.228953+0.002651    test-mlogloss:0.688997+0.026970 
## [53] train-mlogloss:0.225120+0.002556    test-mlogloss:0.692658+0.027404 
## [54] train-mlogloss:0.222090+0.002811    test-mlogloss:0.695534+0.027940 
## [55] train-mlogloss:0.218371+0.003222    test-mlogloss:0.695923+0.028689 
## [56] train-mlogloss:0.214800+0.003059    test-mlogloss:0.698352+0.028116 
## [57] train-mlogloss:0.211634+0.003025    test-mlogloss:0.699240+0.028257 
## [58] train-mlogloss:0.208738+0.002775    test-mlogloss:0.701746+0.030325 
## [59] train-mlogloss:0.205114+0.002456    test-mlogloss:0.704637+0.030922 
## [60] train-mlogloss:0.202440+0.002839    test-mlogloss:0.707677+0.029577 
## [61] train-mlogloss:0.199678+0.002900    test-mlogloss:0.710615+0.031236 
## [62] train-mlogloss:0.196443+0.002850    test-mlogloss:0.711635+0.030411 
## [63] train-mlogloss:0.193446+0.002811    test-mlogloss:0.715525+0.030594 
## [64] train-mlogloss:0.190338+0.002680    test-mlogloss:0.719199+0.031328 
## [65] train-mlogloss:0.187470+0.002665    test-mlogloss:0.720449+0.033700 
## [66] train-mlogloss:0.184406+0.003015    test-mlogloss:0.724250+0.034444 
## [67] train-mlogloss:0.181326+0.002621    test-mlogloss:0.725788+0.034921 
## [68] train-mlogloss:0.178566+0.002316    test-mlogloss:0.727749+0.036371 
## [69] train-mlogloss:0.175982+0.002295    test-mlogloss:0.730424+0.036212 
## [70] train-mlogloss:0.173113+0.002251    test-mlogloss:0.732879+0.037858 
## [71] train-mlogloss:0.170736+0.002452    test-mlogloss:0.735870+0.038053 
## [72] train-mlogloss:0.168512+0.002711    test-mlogloss:0.738686+0.039767 
## [73] train-mlogloss:0.165896+0.002692    test-mlogloss:0.742150+0.038317 
## [74] train-mlogloss:0.163265+0.002512    test-mlogloss:0.744232+0.038080 
## [75] train-mlogloss:0.160804+0.002589    test-mlogloss:0.748691+0.038861 
## [76] train-mlogloss:0.158854+0.003069    test-mlogloss:0.750134+0.039720 
## [77] train-mlogloss:0.156525+0.003188    test-mlogloss:0.752394+0.041357 
## [78] train-mlogloss:0.154179+0.003180    test-mlogloss:0.754910+0.041507 
## [79] train-mlogloss:0.151951+0.003103    test-mlogloss:0.757262+0.042541 
## [80] train-mlogloss:0.149473+0.003008    test-mlogloss:0.759314+0.041761 
## [81] train-mlogloss:0.147249+0.003215    test-mlogloss:0.760064+0.041858 
## [82] train-mlogloss:0.145328+0.003150    test-mlogloss:0.762114+0.041571 
## [83] train-mlogloss:0.143446+0.002714    test-mlogloss:0.764178+0.041005 
## [84] train-mlogloss:0.141397+0.002654    test-mlogloss:0.767364+0.042944 
## [85] train-mlogloss:0.139220+0.002513    test-mlogloss:0.769633+0.043014 
## [86] train-mlogloss:0.137451+0.002567    test-mlogloss:0.772255+0.043804 
## [87] train-mlogloss:0.135464+0.002547    test-mlogloss:0.773482+0.043520 
## [88] train-mlogloss:0.133484+0.002377    test-mlogloss:0.777114+0.043752 
## [89] train-mlogloss:0.131521+0.002310    test-mlogloss:0.779127+0.042814 
## [90] train-mlogloss:0.129924+0.002447    test-mlogloss:0.783069+0.044423 
## [91] train-mlogloss:0.128076+0.002301    test-mlogloss:0.785316+0.045345 
## [92] train-mlogloss:0.125984+0.002176    test-mlogloss:0.787693+0.043869 
## [93] train-mlogloss:0.124295+0.002010    test-mlogloss:0.791388+0.045116 
## [94] train-mlogloss:0.122449+0.001817    test-mlogloss:0.794542+0.044882 
## [95] train-mlogloss:0.120885+0.001772    test-mlogloss:0.795572+0.044222 
## [96] train-mlogloss:0.119402+0.001892    test-mlogloss:0.796587+0.043510 
## [97] train-mlogloss:0.117477+0.001743    test-mlogloss:0.799075+0.042492 
## [98] train-mlogloss:0.115728+0.001864    test-mlogloss:0.800902+0.043436 
## [99] train-mlogloss:0.114008+0.001779    test-mlogloss:0.802915+0.043908 
## [100]    train-mlogloss:0.112339+0.001936    test-mlogloss:0.805616+0.044017 
## [101]    train-mlogloss:0.110777+0.002226    test-mlogloss:0.806058+0.044410 
## [102]    train-mlogloss:0.109169+0.002303    test-mlogloss:0.808101+0.044511 
## [103]    train-mlogloss:0.107603+0.002429    test-mlogloss:0.811114+0.045678 
## [104]    train-mlogloss:0.106069+0.002257    test-mlogloss:0.812102+0.046723 
## [105]    train-mlogloss:0.104735+0.002187    test-mlogloss:0.812975+0.047085 
## [106]    train-mlogloss:0.103122+0.002293    test-mlogloss:0.814736+0.048520 
## [107]    train-mlogloss:0.101624+0.002224    test-mlogloss:0.816023+0.048297 
## [108]    train-mlogloss:0.100134+0.002346    test-mlogloss:0.818097+0.047740 
## [109]    train-mlogloss:0.098637+0.002460    test-mlogloss:0.819539+0.049687 
## [110]    train-mlogloss:0.097006+0.002375    test-mlogloss:0.821073+0.052136 
## [111]    train-mlogloss:0.095479+0.002400    test-mlogloss:0.823193+0.052021 
## [112]    train-mlogloss:0.094550+0.002482    test-mlogloss:0.825221+0.053834 
## [113]    train-mlogloss:0.093371+0.002604    test-mlogloss:0.825953+0.053168 
## [114]    train-mlogloss:0.092098+0.002316    test-mlogloss:0.828677+0.053870 
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## [129]    train-mlogloss:0.074971+0.002037    test-mlogloss:0.850930+0.052390 
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## [414]    train-mlogloss:0.007617+0.000061    test-mlogloss:1.185888+0.066731 
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## [420]    train-mlogloss:0.007430+0.000066    test-mlogloss:1.190476+0.066198 
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## [423]    train-mlogloss:0.007344+0.000059    test-mlogloss:1.191759+0.065799 
## [424]    train-mlogloss:0.007315+0.000069    test-mlogloss:1.192449+0.066741 
## [425]    train-mlogloss:0.007284+0.000072    test-mlogloss:1.193654+0.065705 
## [426]    train-mlogloss:0.007251+0.000071    test-mlogloss:1.193801+0.066492 
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## [428]    train-mlogloss:0.007197+0.000068    test-mlogloss:1.195437+0.067449 
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## [430]    train-mlogloss:0.007144+0.000062    test-mlogloss:1.194947+0.066957 
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## [432]    train-mlogloss:0.007079+0.000063    test-mlogloss:1.196029+0.067671 
## [433]    train-mlogloss:0.007048+0.000066    test-mlogloss:1.196027+0.067438 
## [434]    train-mlogloss:0.007023+0.000070    test-mlogloss:1.196613+0.068098 
## [435]    train-mlogloss:0.006995+0.000072    test-mlogloss:1.197202+0.068549 
## [436]    train-mlogloss:0.006965+0.000078    test-mlogloss:1.198260+0.067774 
## [437]    train-mlogloss:0.006938+0.000081    test-mlogloss:1.199198+0.068165 
## [438]    train-mlogloss:0.006907+0.000086    test-mlogloss:1.199587+0.066990 
## [439]    train-mlogloss:0.006882+0.000089    test-mlogloss:1.200529+0.067541 
## [440]    train-mlogloss:0.006859+0.000087    test-mlogloss:1.200673+0.067249 
## [441]    train-mlogloss:0.006828+0.000091    test-mlogloss:1.201800+0.067974 
## [442]    train-mlogloss:0.006804+0.000095    test-mlogloss:1.201546+0.067677 
## [443]    train-mlogloss:0.006775+0.000088    test-mlogloss:1.202756+0.067594 
## [444]    train-mlogloss:0.006752+0.000082    test-mlogloss:1.203062+0.066948 
## [445]    train-mlogloss:0.006726+0.000088    test-mlogloss:1.204302+0.067620 
## [446]    train-mlogloss:0.006698+0.000090    test-mlogloss:1.204334+0.067407 
## [447]    train-mlogloss:0.006669+0.000089    test-mlogloss:1.204335+0.067148 
## [448]    train-mlogloss:0.006647+0.000083    test-mlogloss:1.204445+0.067856 
## [449]    train-mlogloss:0.006621+0.000085    test-mlogloss:1.205671+0.067908 
## [450]    train-mlogloss:0.006601+0.000090    test-mlogloss:1.206376+0.067945 
## [451]    train-mlogloss:0.006579+0.000089    test-mlogloss:1.206593+0.067975 
## [452]    train-mlogloss:0.006551+0.000091    test-mlogloss:1.208232+0.068350 
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## [454]    train-mlogloss:0.006501+0.000090    test-mlogloss:1.208546+0.068845 
## [455]    train-mlogloss:0.006475+0.000091    test-mlogloss:1.208681+0.068459 
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## [457]    train-mlogloss:0.006431+0.000090    test-mlogloss:1.209617+0.067924 
## [458]    train-mlogloss:0.006404+0.000087    test-mlogloss:1.210632+0.068721 
## [459]    train-mlogloss:0.006384+0.000086    test-mlogloss:1.210367+0.069081 
## [460]    train-mlogloss:0.006361+0.000088    test-mlogloss:1.210594+0.069798 
## [461]    train-mlogloss:0.006338+0.000086    test-mlogloss:1.213367+0.069140 
## [462]    train-mlogloss:0.006319+0.000084    test-mlogloss:1.213641+0.069094 
## [463]    train-mlogloss:0.006295+0.000082    test-mlogloss:1.213297+0.070626 
## [464]    train-mlogloss:0.006272+0.000080    test-mlogloss:1.213872+0.069459 
## [465]    train-mlogloss:0.006246+0.000082    test-mlogloss:1.212878+0.068808 
## [466]    train-mlogloss:0.006223+0.000080    test-mlogloss:1.213576+0.068788 
## [467]    train-mlogloss:0.006200+0.000083    test-mlogloss:1.214451+0.068461 
## [468]    train-mlogloss:0.006176+0.000084    test-mlogloss:1.215259+0.068711 
## [469]    train-mlogloss:0.006159+0.000081    test-mlogloss:1.216270+0.068902 
## [470]    train-mlogloss:0.006136+0.000078    test-mlogloss:1.216882+0.068238 
## [471]    train-mlogloss:0.006111+0.000083    test-mlogloss:1.218224+0.068749 
## [472]    train-mlogloss:0.006092+0.000076    test-mlogloss:1.218535+0.068892 
## [473]    train-mlogloss:0.006071+0.000082    test-mlogloss:1.218283+0.068174 
## [474]    train-mlogloss:0.006052+0.000080    test-mlogloss:1.220057+0.068402 
## [475]    train-mlogloss:0.006033+0.000083    test-mlogloss:1.220226+0.068383 
## [476]    train-mlogloss:0.006008+0.000084    test-mlogloss:1.220892+0.068999 
## [477]    train-mlogloss:0.005992+0.000085    test-mlogloss:1.220984+0.069776 
## [478]    train-mlogloss:0.005970+0.000085    test-mlogloss:1.221336+0.069772 
## [479]    train-mlogloss:0.005953+0.000083    test-mlogloss:1.221359+0.070113 
## [480]    train-mlogloss:0.005935+0.000085    test-mlogloss:1.221547+0.069500 
## [481]    train-mlogloss:0.005916+0.000082    test-mlogloss:1.222754+0.069811 
## [482]    train-mlogloss:0.005894+0.000079    test-mlogloss:1.223260+0.069910 
## [483]    train-mlogloss:0.005875+0.000078    test-mlogloss:1.223288+0.069054 
## [484]    train-mlogloss:0.005855+0.000071    test-mlogloss:1.223428+0.069529 
## [485]    train-mlogloss:0.005838+0.000070    test-mlogloss:1.224739+0.069329 
## [486]    train-mlogloss:0.005819+0.000069    test-mlogloss:1.225803+0.068472 
## [487]    train-mlogloss:0.005799+0.000072    test-mlogloss:1.225933+0.067786 
## [488]    train-mlogloss:0.005775+0.000070    test-mlogloss:1.225852+0.067634 
## [489]    train-mlogloss:0.005755+0.000073    test-mlogloss:1.225757+0.068082 
## [490]    train-mlogloss:0.005735+0.000075    test-mlogloss:1.226987+0.068349 
## [491]    train-mlogloss:0.005717+0.000073    test-mlogloss:1.227171+0.068230 
## [492]    train-mlogloss:0.005700+0.000075    test-mlogloss:1.227528+0.069073 
## [493]    train-mlogloss:0.005685+0.000076    test-mlogloss:1.228318+0.069206 
## [494]    train-mlogloss:0.005667+0.000077    test-mlogloss:1.228865+0.068681 
## [495]    train-mlogloss:0.005648+0.000073    test-mlogloss:1.228377+0.068879 
## [496]    train-mlogloss:0.005624+0.000073    test-mlogloss:1.228667+0.068549 
## [497]    train-mlogloss:0.005606+0.000074    test-mlogloss:1.229536+0.069919 
## [498]    train-mlogloss:0.005586+0.000071    test-mlogloss:1.230500+0.069776 
## [499]    train-mlogloss:0.005569+0.000073    test-mlogloss:1.230628+0.070216 
## [500]    train-mlogloss:0.005551+0.000076    test-mlogloss:1.231739+0.069770 
## [1]  train-mlogloss:0.415198+0.005512    test-mlogloss:0.605081+0.004285 
## [2]  train-mlogloss:0.299813+0.004657    test-mlogloss:0.617185+0.009860 
## [3]  train-mlogloss:0.231601+0.005386    test-mlogloss:0.635198+0.011170 
## [4]  train-mlogloss:0.183887+0.004607    test-mlogloss:0.652587+0.015384 
## [5]  train-mlogloss:0.153503+0.002166    test-mlogloss:0.668403+0.015497 
## [6]  train-mlogloss:0.128610+0.001993    test-mlogloss:0.685952+0.017645 
## [7]  train-mlogloss:0.109322+0.001355    test-mlogloss:0.701627+0.018600 
## [8]  train-mlogloss:0.093828+0.001020    test-mlogloss:0.714903+0.020957 
## [9]  train-mlogloss:0.081323+0.000878    test-mlogloss:0.724903+0.021268 
## [10] train-mlogloss:0.071306+0.000567    test-mlogloss:0.734233+0.022189 
## [11] train-mlogloss:0.063986+0.001089    test-mlogloss:0.744939+0.022614 
## [12] train-mlogloss:0.057394+0.001257    test-mlogloss:0.755905+0.024229 
## [13] train-mlogloss:0.051859+0.001295    test-mlogloss:0.768579+0.022941 
## [14] train-mlogloss:0.047256+0.001023    test-mlogloss:0.776374+0.023369 
## [15] train-mlogloss:0.043397+0.000846    test-mlogloss:0.782928+0.026299 
## [16] train-mlogloss:0.040054+0.000755    test-mlogloss:0.790837+0.028476 
## [17] train-mlogloss:0.037200+0.000526    test-mlogloss:0.798839+0.028460 
## [18] train-mlogloss:0.034651+0.000482    test-mlogloss:0.803473+0.027426 
## [19] train-mlogloss:0.032534+0.000460    test-mlogloss:0.809297+0.027528 
## [20] train-mlogloss:0.030608+0.000440    test-mlogloss:0.815317+0.027650 
## [21] train-mlogloss:0.028945+0.000473    test-mlogloss:0.819909+0.028995 
## [22] train-mlogloss:0.027424+0.000409    test-mlogloss:0.826241+0.027095 
## [23] train-mlogloss:0.026035+0.000370    test-mlogloss:0.831132+0.028115 
## [24] train-mlogloss:0.024788+0.000274    test-mlogloss:0.836727+0.028670 
## [25] train-mlogloss:0.023708+0.000269    test-mlogloss:0.843339+0.029329 
## [26] train-mlogloss:0.022755+0.000214    test-mlogloss:0.846494+0.030943 
## [27] train-mlogloss:0.021835+0.000213    test-mlogloss:0.850367+0.030797 
## [28] train-mlogloss:0.020935+0.000161    test-mlogloss:0.856803+0.030877 
## [29] train-mlogloss:0.020141+0.000141    test-mlogloss:0.860026+0.032603 
## [30] train-mlogloss:0.019422+0.000082    test-mlogloss:0.863583+0.032590 
## [31] train-mlogloss:0.018786+0.000102    test-mlogloss:0.868262+0.032549 
## [32] train-mlogloss:0.018158+0.000133    test-mlogloss:0.871731+0.033077 
## [33] train-mlogloss:0.017595+0.000114    test-mlogloss:0.874586+0.032077 
## [34] train-mlogloss:0.017063+0.000102    test-mlogloss:0.877667+0.032602 
## [35] train-mlogloss:0.016550+0.000105    test-mlogloss:0.880910+0.032968 
## [36] train-mlogloss:0.016069+0.000086    test-mlogloss:0.884189+0.032478 
## [37] train-mlogloss:0.015603+0.000079    test-mlogloss:0.885526+0.034080 
## [38] train-mlogloss:0.015185+0.000094    test-mlogloss:0.888482+0.035564 
## [39] train-mlogloss:0.014775+0.000104    test-mlogloss:0.890445+0.035886 
## [40] train-mlogloss:0.014413+0.000077    test-mlogloss:0.894198+0.036973 
## [41] train-mlogloss:0.014057+0.000068    test-mlogloss:0.896484+0.036604 
## [42] train-mlogloss:0.013724+0.000058    test-mlogloss:0.900264+0.037054 
## [43] train-mlogloss:0.013430+0.000059    test-mlogloss:0.902966+0.036186 
## [44] train-mlogloss:0.013126+0.000074    test-mlogloss:0.905175+0.035764 
## [45] train-mlogloss:0.012857+0.000068    test-mlogloss:0.906648+0.035173 
## [46] train-mlogloss:0.012584+0.000076    test-mlogloss:0.908969+0.034991 
## [47] train-mlogloss:0.012330+0.000092    test-mlogloss:0.912227+0.034626 
## [48] train-mlogloss:0.012081+0.000078    test-mlogloss:0.914306+0.034884 
## [49] train-mlogloss:0.011831+0.000076    test-mlogloss:0.916923+0.034996 
## [50] train-mlogloss:0.011618+0.000057    test-mlogloss:0.918049+0.036463 
## [51] train-mlogloss:0.011411+0.000059    test-mlogloss:0.918621+0.037280 
## [52] train-mlogloss:0.011211+0.000060    test-mlogloss:0.919641+0.037452 
## [53] train-mlogloss:0.011008+0.000068    test-mlogloss:0.922495+0.037554 
## [54] train-mlogloss:0.010819+0.000083    test-mlogloss:0.926221+0.037860 
## [55] train-mlogloss:0.010635+0.000092    test-mlogloss:0.928917+0.038793 
## [56] train-mlogloss:0.010466+0.000088    test-mlogloss:0.930444+0.038222 
## [57] train-mlogloss:0.010295+0.000099    test-mlogloss:0.931850+0.038440 
## [58] train-mlogloss:0.010129+0.000100    test-mlogloss:0.934290+0.039159 
## [59] train-mlogloss:0.009971+0.000091    test-mlogloss:0.935593+0.038662 
## [60] train-mlogloss:0.009835+0.000092    test-mlogloss:0.938036+0.038834 
## [61] train-mlogloss:0.009702+0.000099    test-mlogloss:0.939408+0.038175 
## [62] train-mlogloss:0.009558+0.000092    test-mlogloss:0.940495+0.038241 
## [63] train-mlogloss:0.009431+0.000085    test-mlogloss:0.942107+0.039163 
## [64] train-mlogloss:0.009299+0.000083    test-mlogloss:0.944286+0.039158 
## [65] train-mlogloss:0.009175+0.000085    test-mlogloss:0.946749+0.039559 
## [66] train-mlogloss:0.009052+0.000085    test-mlogloss:0.947978+0.038520 
## [67] train-mlogloss:0.008932+0.000077    test-mlogloss:0.949381+0.038775 
## [68] train-mlogloss:0.008812+0.000073    test-mlogloss:0.951806+0.038580 
## [69] train-mlogloss:0.008687+0.000068    test-mlogloss:0.953233+0.037883 
## [70] train-mlogloss:0.008575+0.000067    test-mlogloss:0.956456+0.036987 
## [71] train-mlogloss:0.008472+0.000067    test-mlogloss:0.956592+0.037516 
## [72] train-mlogloss:0.008368+0.000060    test-mlogloss:0.958964+0.038610 
## [73] train-mlogloss:0.008271+0.000057    test-mlogloss:0.960988+0.039332 
## [74] train-mlogloss:0.008174+0.000054    test-mlogloss:0.962083+0.039838 
## [75] train-mlogloss:0.008086+0.000047    test-mlogloss:0.963059+0.040565 
## [76] train-mlogloss:0.007999+0.000038    test-mlogloss:0.964991+0.040452 
## [77] train-mlogloss:0.007903+0.000035    test-mlogloss:0.966966+0.041936 
## [78] train-mlogloss:0.007814+0.000036    test-mlogloss:0.968496+0.042178 
## [79] train-mlogloss:0.007727+0.000029    test-mlogloss:0.969860+0.041693 
## [80] train-mlogloss:0.007643+0.000023    test-mlogloss:0.971078+0.042115 
## [81] train-mlogloss:0.007564+0.000033    test-mlogloss:0.971405+0.041612 
## [82] train-mlogloss:0.007484+0.000038    test-mlogloss:0.972421+0.041949 
## [83] train-mlogloss:0.007413+0.000033    test-mlogloss:0.974991+0.042215 
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## [87] train-mlogloss:0.007131+0.000040    test-mlogloss:0.979454+0.042297 
## [88] train-mlogloss:0.007062+0.000042    test-mlogloss:0.980800+0.042301 
## [89] train-mlogloss:0.006996+0.000039    test-mlogloss:0.981871+0.043385 
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## [496]    train-mlogloss:0.002122+0.000014    test-mlogloss:1.168563+0.050510 
## [497]    train-mlogloss:0.002120+0.000014    test-mlogloss:1.168879+0.050818 
## [498]    train-mlogloss:0.002118+0.000014    test-mlogloss:1.169506+0.051169 
## [499]    train-mlogloss:0.002115+0.000014    test-mlogloss:1.169908+0.050914 
## [500]    train-mlogloss:0.002112+0.000014    test-mlogloss:1.169967+0.050871 
## [1]  train-mlogloss:0.525688+0.002554    test-mlogloss:0.547226+0.005344 
## [2]  train-mlogloss:0.505379+0.002371    test-mlogloss:0.544368+0.006651 
## [3]  train-mlogloss:0.495348+0.001560    test-mlogloss:0.548816+0.007648 
## [4]  train-mlogloss:0.484068+0.002149    test-mlogloss:0.556088+0.005601 
## [5]  train-mlogloss:0.475594+0.002482    test-mlogloss:0.562138+0.006922 
## [6]  train-mlogloss:0.466014+0.001704    test-mlogloss:0.566869+0.009922 
## [7]  train-mlogloss:0.457000+0.001660    test-mlogloss:0.571511+0.010705 
## [8]  train-mlogloss:0.448903+0.002265    test-mlogloss:0.577294+0.011316 
## [9]  train-mlogloss:0.440628+0.002855    test-mlogloss:0.581677+0.009673 
## [10] train-mlogloss:0.431810+0.003694    test-mlogloss:0.588463+0.010062 
## [11] train-mlogloss:0.424846+0.003805    test-mlogloss:0.591291+0.010811 
## [12] train-mlogloss:0.416856+0.003309    test-mlogloss:0.595572+0.010655 
## [13] train-mlogloss:0.409983+0.002988    test-mlogloss:0.600018+0.009414 
## [14] train-mlogloss:0.402304+0.003374    test-mlogloss:0.606725+0.008808 
## [15] train-mlogloss:0.395023+0.004613    test-mlogloss:0.610801+0.008978 
## [16] train-mlogloss:0.388560+0.004705    test-mlogloss:0.617460+0.009053 
## [17] train-mlogloss:0.381434+0.004957    test-mlogloss:0.621554+0.012015 
## [18] train-mlogloss:0.375826+0.005138    test-mlogloss:0.625072+0.011937 
## [19] train-mlogloss:0.368449+0.005075    test-mlogloss:0.630264+0.013140 
## [20] train-mlogloss:0.361455+0.005173    test-mlogloss:0.634828+0.012456 
## [21] train-mlogloss:0.355379+0.004671    test-mlogloss:0.641335+0.010942 
## [22] train-mlogloss:0.349669+0.005122    test-mlogloss:0.644987+0.010016 
## [23] train-mlogloss:0.343672+0.004934    test-mlogloss:0.649484+0.012789 
## [24] train-mlogloss:0.337894+0.004848    test-mlogloss:0.653870+0.013864 
## [25] train-mlogloss:0.331810+0.005110    test-mlogloss:0.658816+0.012672 
## [26] train-mlogloss:0.325761+0.004730    test-mlogloss:0.662635+0.013063 
## [27] train-mlogloss:0.319744+0.005435    test-mlogloss:0.670606+0.014390 
## [28] train-mlogloss:0.314114+0.005649    test-mlogloss:0.672214+0.014859 
## [29] train-mlogloss:0.308235+0.005793    test-mlogloss:0.677664+0.016534 
## [30] train-mlogloss:0.301909+0.004941    test-mlogloss:0.682427+0.017332 
## [31] train-mlogloss:0.295782+0.006047    test-mlogloss:0.686189+0.016369 
## [32] train-mlogloss:0.289666+0.005832    test-mlogloss:0.689534+0.018184 
## [33] train-mlogloss:0.284640+0.005357    test-mlogloss:0.689677+0.017077 
## [34] train-mlogloss:0.278904+0.005777    test-mlogloss:0.694431+0.017886 
## [35] train-mlogloss:0.274095+0.005960    test-mlogloss:0.699241+0.016371 
## [36] train-mlogloss:0.268989+0.006323    test-mlogloss:0.702190+0.016215 
## [37] train-mlogloss:0.264704+0.006692    test-mlogloss:0.706818+0.017288 
## [38] train-mlogloss:0.260432+0.006621    test-mlogloss:0.711727+0.018525 
## [39] train-mlogloss:0.256274+0.006040    test-mlogloss:0.712661+0.018261 
## [40] train-mlogloss:0.251940+0.005592    test-mlogloss:0.714126+0.017230 
## [41] train-mlogloss:0.247202+0.006286    test-mlogloss:0.716315+0.018678 
## [42] train-mlogloss:0.242847+0.006584    test-mlogloss:0.721162+0.018404 
## [43] train-mlogloss:0.237642+0.006274    test-mlogloss:0.726425+0.018685 
## [44] train-mlogloss:0.232461+0.006313    test-mlogloss:0.730533+0.019678 
## [45] train-mlogloss:0.228094+0.006593    test-mlogloss:0.733034+0.016247 
## [46] train-mlogloss:0.223425+0.006626    test-mlogloss:0.737965+0.017910 
## [47] train-mlogloss:0.219448+0.006421    test-mlogloss:0.742868+0.020056 
## [48] train-mlogloss:0.215414+0.005958    test-mlogloss:0.744671+0.018905 
## [49] train-mlogloss:0.211349+0.006176    test-mlogloss:0.750005+0.019965 
## [50] train-mlogloss:0.207507+0.005562    test-mlogloss:0.751573+0.020958 
## [51] train-mlogloss:0.203204+0.005799    test-mlogloss:0.756842+0.022152 
## [52] train-mlogloss:0.199574+0.005336    test-mlogloss:0.756967+0.022659 
## [53] train-mlogloss:0.195702+0.005136    test-mlogloss:0.760002+0.021250 
## [54] train-mlogloss:0.191813+0.005227    test-mlogloss:0.764500+0.020113 
## [55] train-mlogloss:0.188400+0.005045    test-mlogloss:0.770633+0.019864 
## [56] train-mlogloss:0.183792+0.005413    test-mlogloss:0.773244+0.019352 
## [57] train-mlogloss:0.179659+0.005185    test-mlogloss:0.776706+0.020192 
## [58] train-mlogloss:0.176111+0.005145    test-mlogloss:0.782315+0.019824 
## [59] train-mlogloss:0.173004+0.005199    test-mlogloss:0.784768+0.017674 
## [60] train-mlogloss:0.170460+0.005598    test-mlogloss:0.788270+0.015586 
## [61] train-mlogloss:0.167607+0.005732    test-mlogloss:0.791352+0.016717 
## [62] train-mlogloss:0.164359+0.005615    test-mlogloss:0.793836+0.016600 
## [63] train-mlogloss:0.161275+0.005393    test-mlogloss:0.797390+0.016377 
## [64] train-mlogloss:0.158325+0.005087    test-mlogloss:0.799089+0.018267 
## [65] train-mlogloss:0.155234+0.005341    test-mlogloss:0.802790+0.016023 
## [66] train-mlogloss:0.152781+0.005556    test-mlogloss:0.808061+0.015743 
## [67] train-mlogloss:0.149996+0.005484    test-mlogloss:0.810190+0.016447 
## [68] train-mlogloss:0.147364+0.005307    test-mlogloss:0.811946+0.017520 
## [69] train-mlogloss:0.144907+0.005437    test-mlogloss:0.815126+0.016492 
## [70] train-mlogloss:0.142300+0.005506    test-mlogloss:0.819539+0.018490 
## [71] train-mlogloss:0.139814+0.005398    test-mlogloss:0.824598+0.019689 
## [72] train-mlogloss:0.137251+0.005181    test-mlogloss:0.825532+0.019585 
## [73] train-mlogloss:0.133946+0.004627    test-mlogloss:0.827952+0.019312 
## [74] train-mlogloss:0.131909+0.004644    test-mlogloss:0.829426+0.018778 
## [75] train-mlogloss:0.129477+0.004607    test-mlogloss:0.835826+0.019600 
## [76] train-mlogloss:0.126959+0.004902    test-mlogloss:0.836549+0.017818 
## [77] train-mlogloss:0.124600+0.004602    test-mlogloss:0.840416+0.017910 
## [78] train-mlogloss:0.122039+0.004613    test-mlogloss:0.845969+0.018489 
## [79] train-mlogloss:0.119797+0.004282    test-mlogloss:0.848563+0.018369 
## [80] train-mlogloss:0.117658+0.004064    test-mlogloss:0.852796+0.017258 
## [81] train-mlogloss:0.114990+0.003982    test-mlogloss:0.855577+0.015018 
## [82] train-mlogloss:0.112859+0.003752    test-mlogloss:0.856649+0.015739 
## [83] train-mlogloss:0.110700+0.003388    test-mlogloss:0.861235+0.018225 
## [84] train-mlogloss:0.108673+0.003551    test-mlogloss:0.865149+0.019959 
## [85] train-mlogloss:0.106979+0.003402    test-mlogloss:0.867961+0.021022 
## [86] train-mlogloss:0.105345+0.003113    test-mlogloss:0.869725+0.021821 
## [87] train-mlogloss:0.103416+0.003077    test-mlogloss:0.873100+0.020612 
## [88] train-mlogloss:0.101555+0.003252    test-mlogloss:0.872520+0.018898 
## [89] train-mlogloss:0.099975+0.003153    test-mlogloss:0.875141+0.020291 
## [90] train-mlogloss:0.098158+0.003107    test-mlogloss:0.875440+0.021707 
## [91] train-mlogloss:0.096581+0.003411    test-mlogloss:0.878021+0.021395 
## [92] train-mlogloss:0.094807+0.003259    test-mlogloss:0.879127+0.019703 
## [93] train-mlogloss:0.093242+0.003226    test-mlogloss:0.880313+0.019988 
## [94] train-mlogloss:0.091618+0.003445    test-mlogloss:0.880803+0.017545 
## [95] train-mlogloss:0.090037+0.003485    test-mlogloss:0.883041+0.019690 
## [96] train-mlogloss:0.088588+0.003396    test-mlogloss:0.883184+0.019092 
## [97] train-mlogloss:0.087281+0.003404    test-mlogloss:0.887038+0.020173 
## [98] train-mlogloss:0.085847+0.003221    test-mlogloss:0.887976+0.021604 
## [99] train-mlogloss:0.084496+0.003177    test-mlogloss:0.889471+0.024709 
## [100]    train-mlogloss:0.082900+0.003297    test-mlogloss:0.893415+0.023716 
## [101]    train-mlogloss:0.081752+0.003315    test-mlogloss:0.896476+0.023648 
## [102]    train-mlogloss:0.080212+0.003584    test-mlogloss:0.900001+0.026670 
## [103]    train-mlogloss:0.078956+0.003494    test-mlogloss:0.903269+0.024504 
## [104]    train-mlogloss:0.077544+0.003185    test-mlogloss:0.906690+0.024554 
## [105]    train-mlogloss:0.076241+0.003317    test-mlogloss:0.910256+0.025310 
## [106]    train-mlogloss:0.074998+0.003356    test-mlogloss:0.915052+0.025249 
## [107]    train-mlogloss:0.073757+0.003508    test-mlogloss:0.916837+0.026375 
## [108]    train-mlogloss:0.072447+0.003422    test-mlogloss:0.919189+0.024971 
## [109]    train-mlogloss:0.071359+0.003313    test-mlogloss:0.922365+0.025228 
## [110]    train-mlogloss:0.070086+0.003375    test-mlogloss:0.923062+0.023970 
## [111]    train-mlogloss:0.069064+0.003294    test-mlogloss:0.926737+0.023149 
## [112]    train-mlogloss:0.067984+0.003106    test-mlogloss:0.928848+0.023906 
## [113]    train-mlogloss:0.067001+0.002849    test-mlogloss:0.929718+0.026058 
## [114]    train-mlogloss:0.066024+0.002922    test-mlogloss:0.932444+0.025398 
## [115]    train-mlogloss:0.065026+0.002992    test-mlogloss:0.934910+0.026400 
## [116]    train-mlogloss:0.064110+0.002890    test-mlogloss:0.935552+0.026270 
## [117]    train-mlogloss:0.063138+0.002716    test-mlogloss:0.936636+0.025538 
## [118]    train-mlogloss:0.062120+0.002850    test-mlogloss:0.936583+0.025250 
## [119]    train-mlogloss:0.061072+0.002758    test-mlogloss:0.938804+0.025979 
## [120]    train-mlogloss:0.060045+0.002889    test-mlogloss:0.941533+0.023907 
## [121]    train-mlogloss:0.059029+0.002713    test-mlogloss:0.943423+0.025566 
## [122]    train-mlogloss:0.057876+0.002700    test-mlogloss:0.945348+0.025690 
## [123]    train-mlogloss:0.057023+0.002526    test-mlogloss:0.947694+0.024589 
## [124]    train-mlogloss:0.056332+0.002430    test-mlogloss:0.948506+0.024276 
## [125]    train-mlogloss:0.055493+0.002335    test-mlogloss:0.949895+0.022706 
## [126]    train-mlogloss:0.054585+0.002312    test-mlogloss:0.953113+0.023916 
## [127]    train-mlogloss:0.053813+0.002298    test-mlogloss:0.954878+0.025476 
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## [134]    train-mlogloss:0.048104+0.001864    test-mlogloss:0.965928+0.022232 
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## [409]    train-mlogloss:0.005219+0.000156    test-mlogloss:1.275382+0.034234 
## [410]    train-mlogloss:0.005199+0.000154    test-mlogloss:1.275710+0.034341 
## [411]    train-mlogloss:0.005177+0.000155    test-mlogloss:1.276051+0.034379 
## [412]    train-mlogloss:0.005157+0.000153    test-mlogloss:1.277634+0.035254 
## [413]    train-mlogloss:0.005133+0.000150    test-mlogloss:1.277075+0.034957 
## [414]    train-mlogloss:0.005111+0.000144    test-mlogloss:1.276908+0.035056 
## [415]    train-mlogloss:0.005094+0.000144    test-mlogloss:1.277910+0.035666 
## [416]    train-mlogloss:0.005074+0.000141    test-mlogloss:1.279393+0.035934 
## [417]    train-mlogloss:0.005049+0.000140    test-mlogloss:1.280696+0.035777 
## [418]    train-mlogloss:0.005028+0.000142    test-mlogloss:1.283350+0.035923 
## [419]    train-mlogloss:0.005012+0.000138    test-mlogloss:1.283851+0.035434 
## [420]    train-mlogloss:0.004990+0.000134    test-mlogloss:1.283573+0.035418 
## [421]    train-mlogloss:0.004969+0.000133    test-mlogloss:1.285052+0.035543 
## [422]    train-mlogloss:0.004950+0.000128    test-mlogloss:1.285733+0.035718 
## [423]    train-mlogloss:0.004931+0.000124    test-mlogloss:1.285076+0.034917 
## [424]    train-mlogloss:0.004913+0.000125    test-mlogloss:1.286383+0.035214 
## [425]    train-mlogloss:0.004895+0.000121    test-mlogloss:1.286621+0.034651 
## [426]    train-mlogloss:0.004880+0.000120    test-mlogloss:1.287392+0.034753 
## [427]    train-mlogloss:0.004862+0.000116    test-mlogloss:1.288650+0.033671 
## [428]    train-mlogloss:0.004845+0.000116    test-mlogloss:1.289694+0.034990 
## [429]    train-mlogloss:0.004828+0.000115    test-mlogloss:1.290047+0.034611 
## [430]    train-mlogloss:0.004811+0.000114    test-mlogloss:1.290179+0.035346 
## [431]    train-mlogloss:0.004791+0.000116    test-mlogloss:1.291873+0.035074 
## [432]    train-mlogloss:0.004774+0.000113    test-mlogloss:1.292169+0.036038 
## [433]    train-mlogloss:0.004754+0.000112    test-mlogloss:1.292311+0.035338 
## [434]    train-mlogloss:0.004737+0.000112    test-mlogloss:1.293160+0.035485 
## [435]    train-mlogloss:0.004717+0.000110    test-mlogloss:1.295327+0.036670 
## [436]    train-mlogloss:0.004700+0.000107    test-mlogloss:1.295980+0.036918 
## [437]    train-mlogloss:0.004687+0.000109    test-mlogloss:1.296502+0.036476 
## [438]    train-mlogloss:0.004663+0.000113    test-mlogloss:1.297470+0.036976 
## [439]    train-mlogloss:0.004650+0.000114    test-mlogloss:1.298129+0.036818 
## [440]    train-mlogloss:0.004632+0.000115    test-mlogloss:1.298612+0.036067 
## [441]    train-mlogloss:0.004615+0.000115    test-mlogloss:1.299823+0.036692 
## [442]    train-mlogloss:0.004599+0.000108    test-mlogloss:1.300793+0.036865 
## [443]    train-mlogloss:0.004585+0.000106    test-mlogloss:1.300897+0.035779 
## [444]    train-mlogloss:0.004569+0.000104    test-mlogloss:1.301661+0.035390 
## [445]    train-mlogloss:0.004555+0.000104    test-mlogloss:1.302209+0.035456 
## [446]    train-mlogloss:0.004540+0.000104    test-mlogloss:1.303525+0.036325 
## [447]    train-mlogloss:0.004525+0.000103    test-mlogloss:1.302811+0.036819 
## [448]    train-mlogloss:0.004508+0.000102    test-mlogloss:1.302442+0.037390 
## [449]    train-mlogloss:0.004492+0.000100    test-mlogloss:1.303058+0.036151 
## [450]    train-mlogloss:0.004479+0.000101    test-mlogloss:1.303771+0.036122 
## [451]    train-mlogloss:0.004461+0.000102    test-mlogloss:1.303771+0.036978 
## [452]    train-mlogloss:0.004443+0.000104    test-mlogloss:1.304267+0.036432 
## [453]    train-mlogloss:0.004429+0.000103    test-mlogloss:1.304232+0.036349 
## [454]    train-mlogloss:0.004412+0.000100    test-mlogloss:1.305054+0.037196 
## [455]    train-mlogloss:0.004395+0.000101    test-mlogloss:1.306568+0.036779 
## [456]    train-mlogloss:0.004383+0.000102    test-mlogloss:1.306984+0.037067 
## [457]    train-mlogloss:0.004368+0.000100    test-mlogloss:1.307247+0.036425 
## [458]    train-mlogloss:0.004355+0.000101    test-mlogloss:1.307626+0.035931 
## [459]    train-mlogloss:0.004342+0.000100    test-mlogloss:1.307842+0.036481 
## [460]    train-mlogloss:0.004329+0.000100    test-mlogloss:1.308399+0.036013 
## [461]    train-mlogloss:0.004313+0.000098    test-mlogloss:1.309334+0.037411 
## [462]    train-mlogloss:0.004297+0.000097    test-mlogloss:1.309640+0.036581 
## [463]    train-mlogloss:0.004279+0.000096    test-mlogloss:1.310429+0.035522 
## [464]    train-mlogloss:0.004267+0.000095    test-mlogloss:1.311576+0.036021 
## [465]    train-mlogloss:0.004251+0.000096    test-mlogloss:1.311560+0.035551 
## [466]    train-mlogloss:0.004235+0.000093    test-mlogloss:1.311475+0.035083 
## [467]    train-mlogloss:0.004223+0.000091    test-mlogloss:1.312363+0.035140 
## [468]    train-mlogloss:0.004209+0.000092    test-mlogloss:1.313414+0.035823 
## [469]    train-mlogloss:0.004193+0.000088    test-mlogloss:1.312608+0.036091 
## [470]    train-mlogloss:0.004176+0.000086    test-mlogloss:1.313759+0.034654 
## [471]    train-mlogloss:0.004164+0.000088    test-mlogloss:1.313686+0.034533 
## [472]    train-mlogloss:0.004151+0.000090    test-mlogloss:1.314154+0.035507 
## [473]    train-mlogloss:0.004140+0.000092    test-mlogloss:1.314740+0.036330 
## [474]    train-mlogloss:0.004123+0.000090    test-mlogloss:1.315803+0.034551 
## [475]    train-mlogloss:0.004107+0.000094    test-mlogloss:1.316738+0.033803 
## [476]    train-mlogloss:0.004097+0.000094    test-mlogloss:1.317850+0.034730 
## [477]    train-mlogloss:0.004084+0.000090    test-mlogloss:1.318206+0.035415 
## [478]    train-mlogloss:0.004070+0.000089    test-mlogloss:1.318219+0.034022 
## [479]    train-mlogloss:0.004057+0.000087    test-mlogloss:1.318360+0.034005 
## [480]    train-mlogloss:0.004042+0.000086    test-mlogloss:1.319092+0.033974 
## [481]    train-mlogloss:0.004032+0.000085    test-mlogloss:1.320388+0.034654 
## [482]    train-mlogloss:0.004023+0.000086    test-mlogloss:1.319884+0.034959 
## [483]    train-mlogloss:0.004012+0.000085    test-mlogloss:1.319550+0.035010 
## [484]    train-mlogloss:0.004001+0.000085    test-mlogloss:1.319436+0.035885 
## [485]    train-mlogloss:0.003992+0.000086    test-mlogloss:1.320180+0.035898 
## [486]    train-mlogloss:0.003981+0.000084    test-mlogloss:1.321623+0.035670 
## [487]    train-mlogloss:0.003968+0.000084    test-mlogloss:1.321563+0.034625 
## [488]    train-mlogloss:0.003954+0.000084    test-mlogloss:1.322634+0.034780 
## [489]    train-mlogloss:0.003942+0.000082    test-mlogloss:1.323010+0.035911 
## [490]    train-mlogloss:0.003929+0.000081    test-mlogloss:1.323617+0.036202 
## [491]    train-mlogloss:0.003918+0.000079    test-mlogloss:1.324055+0.035800 
## [492]    train-mlogloss:0.003908+0.000082    test-mlogloss:1.324990+0.035585 
## [493]    train-mlogloss:0.003894+0.000080    test-mlogloss:1.325008+0.034918 
## [494]    train-mlogloss:0.003885+0.000080    test-mlogloss:1.324951+0.034360 
## [495]    train-mlogloss:0.003874+0.000081    test-mlogloss:1.326210+0.035197 
## [496]    train-mlogloss:0.003866+0.000079    test-mlogloss:1.325788+0.035417 
## [497]    train-mlogloss:0.003854+0.000080    test-mlogloss:1.326310+0.035810 
## [498]    train-mlogloss:0.003844+0.000079    test-mlogloss:1.325493+0.035410 
## [499]    train-mlogloss:0.003835+0.000080    test-mlogloss:1.325956+0.037043 
## [500]    train-mlogloss:0.003822+0.000079    test-mlogloss:1.326408+0.036411 
## [1]  train-mlogloss:0.383787+0.003546    test-mlogloss:0.613576+0.017895 
## [2]  train-mlogloss:0.270995+0.004073    test-mlogloss:0.646344+0.019582 
## [3]  train-mlogloss:0.201922+0.004128    test-mlogloss:0.679038+0.021070 
## [4]  train-mlogloss:0.156424+0.004073    test-mlogloss:0.707995+0.023736 
## [5]  train-mlogloss:0.124057+0.003142    test-mlogloss:0.732120+0.028670 
## [6]  train-mlogloss:0.101298+0.002205    test-mlogloss:0.747575+0.028546 
## [7]  train-mlogloss:0.084872+0.002033    test-mlogloss:0.765914+0.027838 
## [8]  train-mlogloss:0.072011+0.001613    test-mlogloss:0.783058+0.029010 
## [9]  train-mlogloss:0.062221+0.001250    test-mlogloss:0.800735+0.029461 
## [10] train-mlogloss:0.054672+0.001223    test-mlogloss:0.808410+0.029406 
## [11] train-mlogloss:0.048443+0.000810    test-mlogloss:0.820177+0.031973 
## [12] train-mlogloss:0.043490+0.000604    test-mlogloss:0.828928+0.036567 
## [13] train-mlogloss:0.039298+0.000568    test-mlogloss:0.833789+0.036634 
## [14] train-mlogloss:0.035996+0.000550    test-mlogloss:0.841375+0.036066 
## [15] train-mlogloss:0.032931+0.000526    test-mlogloss:0.848557+0.035366 
## [16] train-mlogloss:0.030472+0.000470    test-mlogloss:0.854753+0.033201 
## [17] train-mlogloss:0.028324+0.000388    test-mlogloss:0.861003+0.037621 
## [18] train-mlogloss:0.026463+0.000295    test-mlogloss:0.868767+0.037768 
## [19] train-mlogloss:0.024872+0.000337    test-mlogloss:0.876338+0.037563 
## [20] train-mlogloss:0.023437+0.000347    test-mlogloss:0.882699+0.039032 
## [21] train-mlogloss:0.022238+0.000336    test-mlogloss:0.887422+0.036624 
## [22] train-mlogloss:0.021213+0.000338    test-mlogloss:0.895024+0.036715 
## [23] train-mlogloss:0.020169+0.000303    test-mlogloss:0.898058+0.035607 
## [24] train-mlogloss:0.019273+0.000255    test-mlogloss:0.904720+0.036837 
## [25] train-mlogloss:0.018407+0.000188    test-mlogloss:0.909495+0.038331 
## [26] train-mlogloss:0.017691+0.000158    test-mlogloss:0.912753+0.037372 
## [27] train-mlogloss:0.016995+0.000198    test-mlogloss:0.917023+0.039508 
## [28] train-mlogloss:0.016356+0.000172    test-mlogloss:0.919725+0.038248 
## [29] train-mlogloss:0.015734+0.000125    test-mlogloss:0.924247+0.038519 
## [30] train-mlogloss:0.015213+0.000127    test-mlogloss:0.927540+0.039752 
## [31] train-mlogloss:0.014716+0.000115    test-mlogloss:0.929117+0.040497 
## [32] train-mlogloss:0.014236+0.000109    test-mlogloss:0.932885+0.038732 
## [33] train-mlogloss:0.013802+0.000102    test-mlogloss:0.936761+0.041626 
## [34] train-mlogloss:0.013398+0.000134    test-mlogloss:0.942527+0.043637 
## [35] train-mlogloss:0.013011+0.000116    test-mlogloss:0.946605+0.046771 
## [36] train-mlogloss:0.012640+0.000078    test-mlogloss:0.949315+0.045436 
## [37] train-mlogloss:0.012297+0.000093    test-mlogloss:0.953711+0.045607 
## [38] train-mlogloss:0.011985+0.000074    test-mlogloss:0.958473+0.047208 
## [39] train-mlogloss:0.011708+0.000053    test-mlogloss:0.961172+0.048020 
## [40] train-mlogloss:0.011434+0.000065    test-mlogloss:0.964305+0.047068 
## [41] train-mlogloss:0.011199+0.000065    test-mlogloss:0.965567+0.047798 
## [42] train-mlogloss:0.010947+0.000084    test-mlogloss:0.969285+0.048527 
## [43] train-mlogloss:0.010700+0.000064    test-mlogloss:0.971817+0.049668 
## [44] train-mlogloss:0.010485+0.000066    test-mlogloss:0.974402+0.049437 
## [45] train-mlogloss:0.010266+0.000056    test-mlogloss:0.974461+0.048468 
## [46] train-mlogloss:0.010056+0.000062    test-mlogloss:0.975659+0.048377 
## [47] train-mlogloss:0.009857+0.000057    test-mlogloss:0.977131+0.046650 
## [48] train-mlogloss:0.009671+0.000055    test-mlogloss:0.979843+0.047242 
## [49] train-mlogloss:0.009496+0.000068    test-mlogloss:0.983479+0.048350 
## [50] train-mlogloss:0.009329+0.000073    test-mlogloss:0.986816+0.048878 
## [51] train-mlogloss:0.009168+0.000089    test-mlogloss:0.987880+0.047741 
## [52] train-mlogloss:0.009013+0.000093    test-mlogloss:0.990421+0.048929 
## [53] train-mlogloss:0.008870+0.000089    test-mlogloss:0.991851+0.049447 
## [54] train-mlogloss:0.008723+0.000089    test-mlogloss:0.994640+0.049929 
## [55] train-mlogloss:0.008588+0.000100    test-mlogloss:0.998794+0.050443 
## [56] train-mlogloss:0.008441+0.000104    test-mlogloss:1.002112+0.051198 
## [57] train-mlogloss:0.008304+0.000103    test-mlogloss:1.003259+0.051314 
## [58] train-mlogloss:0.008177+0.000102    test-mlogloss:1.004605+0.051449 
## [59] train-mlogloss:0.008061+0.000105    test-mlogloss:1.005526+0.051961 
## [60] train-mlogloss:0.007951+0.000114    test-mlogloss:1.008514+0.052231 
## [61] train-mlogloss:0.007842+0.000115    test-mlogloss:1.010400+0.053720 
## [62] train-mlogloss:0.007745+0.000112    test-mlogloss:1.013519+0.055289 
## [63] train-mlogloss:0.007636+0.000114    test-mlogloss:1.015215+0.054437 
## [64] train-mlogloss:0.007529+0.000119    test-mlogloss:1.015908+0.053281 
## [65] train-mlogloss:0.007437+0.000117    test-mlogloss:1.017080+0.052194 
## [66] train-mlogloss:0.007350+0.000129    test-mlogloss:1.017567+0.051757 
## [67] train-mlogloss:0.007248+0.000133    test-mlogloss:1.018628+0.051668 
## [68] train-mlogloss:0.007159+0.000133    test-mlogloss:1.019647+0.052331 
## [69] train-mlogloss:0.007064+0.000129    test-mlogloss:1.020885+0.052641 
## [70] train-mlogloss:0.006985+0.000125    test-mlogloss:1.023211+0.053243 
## [71] train-mlogloss:0.006901+0.000127    test-mlogloss:1.024259+0.053143 
## [72] train-mlogloss:0.006827+0.000124    test-mlogloss:1.024906+0.052076 
## [73] train-mlogloss:0.006744+0.000115    test-mlogloss:1.026082+0.052125 
## [74] train-mlogloss:0.006670+0.000108    test-mlogloss:1.026702+0.052920 
## [75] train-mlogloss:0.006600+0.000104    test-mlogloss:1.026854+0.053785 
## [76] train-mlogloss:0.006537+0.000101    test-mlogloss:1.027156+0.052910 
## [77] train-mlogloss:0.006468+0.000095    test-mlogloss:1.028894+0.052133 
## [78] train-mlogloss:0.006406+0.000094    test-mlogloss:1.030267+0.051077 
## [79] train-mlogloss:0.006337+0.000097    test-mlogloss:1.031264+0.051216 
## [80] train-mlogloss:0.006277+0.000096    test-mlogloss:1.033107+0.050821 
## [81] train-mlogloss:0.006214+0.000090    test-mlogloss:1.033847+0.051460 
## [82] train-mlogloss:0.006152+0.000088    test-mlogloss:1.035532+0.050820 
## [83] train-mlogloss:0.006093+0.000095    test-mlogloss:1.035483+0.050263 
## [84] train-mlogloss:0.006031+0.000089    test-mlogloss:1.037317+0.051891 
## [85] train-mlogloss:0.005976+0.000090    test-mlogloss:1.038759+0.050766 
## [86] train-mlogloss:0.005920+0.000087    test-mlogloss:1.040194+0.049627 
## [87] train-mlogloss:0.005866+0.000089    test-mlogloss:1.041968+0.048851 
## [88] train-mlogloss:0.005809+0.000080    test-mlogloss:1.041921+0.048428 
## [89] train-mlogloss:0.005763+0.000080    test-mlogloss:1.043799+0.049035 
## [90] train-mlogloss:0.005716+0.000078    test-mlogloss:1.046844+0.049755 
## [91] train-mlogloss:0.005670+0.000078    test-mlogloss:1.048868+0.050917 
## [92] train-mlogloss:0.005621+0.000079    test-mlogloss:1.050069+0.051299 
## [93] train-mlogloss:0.005572+0.000079    test-mlogloss:1.050813+0.051943 
## [94] train-mlogloss:0.005530+0.000077    test-mlogloss:1.052483+0.051190 
## [95] train-mlogloss:0.005481+0.000075    test-mlogloss:1.052737+0.052249 
## [96] train-mlogloss:0.005442+0.000073    test-mlogloss:1.052943+0.052048 
## [97] train-mlogloss:0.005395+0.000073    test-mlogloss:1.054485+0.053501 
## [98] train-mlogloss:0.005353+0.000072    test-mlogloss:1.055746+0.053882 
## [99] train-mlogloss:0.005307+0.000070    test-mlogloss:1.056733+0.053019 
## [100]    train-mlogloss:0.005267+0.000070    test-mlogloss:1.058177+0.053309 
## [101]    train-mlogloss:0.005230+0.000071    test-mlogloss:1.059195+0.053391 
## [102]    train-mlogloss:0.005185+0.000071    test-mlogloss:1.058727+0.053158 
## [103]    train-mlogloss:0.005146+0.000076    test-mlogloss:1.060587+0.053332 
## [104]    train-mlogloss:0.005109+0.000073    test-mlogloss:1.062683+0.054153 
## [105]    train-mlogloss:0.005073+0.000074    test-mlogloss:1.063976+0.054870 
## [106]    train-mlogloss:0.005035+0.000074    test-mlogloss:1.063861+0.054472 
## [107]    train-mlogloss:0.004998+0.000075    test-mlogloss:1.065037+0.054120 
## [108]    train-mlogloss:0.004967+0.000076    test-mlogloss:1.066741+0.053818 
## [109]    train-mlogloss:0.004929+0.000076    test-mlogloss:1.067936+0.054238 
## [110]    train-mlogloss:0.004899+0.000076    test-mlogloss:1.069096+0.055160 
## [111]    train-mlogloss:0.004869+0.000074    test-mlogloss:1.069274+0.054909 
## [112]    train-mlogloss:0.004840+0.000072    test-mlogloss:1.070827+0.055510 
## [113]    train-mlogloss:0.004810+0.000074    test-mlogloss:1.071155+0.054555 
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## [494]    train-mlogloss:0.001860+0.000018    test-mlogloss:1.214339+0.066130 
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## [499]    train-mlogloss:0.001851+0.000017    test-mlogloss:1.215225+0.066547 
## [500]    train-mlogloss:0.001848+0.000017    test-mlogloss:1.215204+0.067144 
## [1]  train-mlogloss:0.614905+0.000567    test-mlogloss:0.621929+0.003760 
## [2]  train-mlogloss:0.570888+0.001401    test-mlogloss:0.583800+0.005152 
## [3]  train-mlogloss:0.543067+0.002111    test-mlogloss:0.562146+0.006452 
## [4]  train-mlogloss:0.525228+0.002617    test-mlogloss:0.549869+0.007706 
## [5]  train-mlogloss:0.512897+0.002614    test-mlogloss:0.542353+0.008894 
## [6]  train-mlogloss:0.503469+0.002535    test-mlogloss:0.537876+0.009506 
## [7]  train-mlogloss:0.496262+0.002935    test-mlogloss:0.535605+0.009757 
## [8]  train-mlogloss:0.490433+0.002906    test-mlogloss:0.534457+0.009610 
## [9]  train-mlogloss:0.485072+0.002813    test-mlogloss:0.533911+0.010378 
## [10] train-mlogloss:0.480820+0.002816    test-mlogloss:0.533951+0.010916 
## [11] train-mlogloss:0.477384+0.002087    test-mlogloss:0.534015+0.010791 
## [12] train-mlogloss:0.473777+0.001929    test-mlogloss:0.533944+0.010934 
## [13] train-mlogloss:0.470349+0.002391    test-mlogloss:0.534965+0.011381 
## [14] train-mlogloss:0.467316+0.002987    test-mlogloss:0.535218+0.011412 
## [15] train-mlogloss:0.464263+0.003204    test-mlogloss:0.535579+0.011808 
## [16] train-mlogloss:0.460981+0.003300    test-mlogloss:0.536053+0.011871 
## [17] train-mlogloss:0.457829+0.003248    test-mlogloss:0.537293+0.012194 
## [18] train-mlogloss:0.454564+0.003134    test-mlogloss:0.537786+0.012239 
## [19] train-mlogloss:0.450966+0.003576    test-mlogloss:0.538002+0.012353 
## [20] train-mlogloss:0.448570+0.003328    test-mlogloss:0.538074+0.012572 
## [21] train-mlogloss:0.446069+0.003161    test-mlogloss:0.538683+0.012491 
## [22] train-mlogloss:0.443320+0.004115    test-mlogloss:0.539530+0.012906 
## [23] train-mlogloss:0.440633+0.004335    test-mlogloss:0.539664+0.012723 
## [24] train-mlogloss:0.438166+0.004616    test-mlogloss:0.540158+0.012622 
## [25] train-mlogloss:0.435172+0.004343    test-mlogloss:0.540509+0.012661 
## [26] train-mlogloss:0.432831+0.004935    test-mlogloss:0.541156+0.012593 
## [27] train-mlogloss:0.430648+0.005045    test-mlogloss:0.541676+0.012481 
## [28] train-mlogloss:0.427774+0.005212    test-mlogloss:0.542522+0.012493 
## [29] train-mlogloss:0.424738+0.004852    test-mlogloss:0.543091+0.012453 
## [30] train-mlogloss:0.422110+0.004894    test-mlogloss:0.543343+0.011852 
## [31] train-mlogloss:0.419022+0.004543    test-mlogloss:0.544132+0.012052 
## [32] train-mlogloss:0.416480+0.004550    test-mlogloss:0.544681+0.012266 
## [33] train-mlogloss:0.413491+0.004921    test-mlogloss:0.545442+0.012076 
## [34] train-mlogloss:0.411047+0.004973    test-mlogloss:0.546135+0.012166 
## [35] train-mlogloss:0.408526+0.005232    test-mlogloss:0.546738+0.011860 
## [36] train-mlogloss:0.406329+0.004683    test-mlogloss:0.546661+0.011579 
## [37] train-mlogloss:0.403799+0.004701    test-mlogloss:0.547193+0.011408 
## [38] train-mlogloss:0.401213+0.004572    test-mlogloss:0.547216+0.011395 
## [39] train-mlogloss:0.398994+0.005030    test-mlogloss:0.547838+0.011582 
## [40] train-mlogloss:0.396805+0.005529    test-mlogloss:0.548682+0.011523 
## [41] train-mlogloss:0.393986+0.005302    test-mlogloss:0.549215+0.011645 
## [42] train-mlogloss:0.391350+0.004738    test-mlogloss:0.549436+0.011906 
## [43] train-mlogloss:0.388640+0.005037    test-mlogloss:0.549816+0.011596 
## [44] train-mlogloss:0.385439+0.005250    test-mlogloss:0.550189+0.011595 
## [45] train-mlogloss:0.382770+0.005233    test-mlogloss:0.551027+0.012361 
## [46] train-mlogloss:0.380373+0.005261    test-mlogloss:0.551652+0.012719 
## [47] train-mlogloss:0.378460+0.005669    test-mlogloss:0.551787+0.012230 
## [48] train-mlogloss:0.376641+0.005381    test-mlogloss:0.552310+0.012391 
## [49] train-mlogloss:0.374403+0.005570    test-mlogloss:0.552930+0.012216 
## [50] train-mlogloss:0.371719+0.005115    test-mlogloss:0.553396+0.011713 
## [51] train-mlogloss:0.369299+0.005200    test-mlogloss:0.554255+0.011845 
## [52] train-mlogloss:0.367016+0.005262    test-mlogloss:0.554374+0.011862 
## [53] train-mlogloss:0.364850+0.004941    test-mlogloss:0.554985+0.011423 
## [54] train-mlogloss:0.362593+0.005031    test-mlogloss:0.555598+0.011268 
## [55] train-mlogloss:0.360484+0.005490    test-mlogloss:0.555681+0.011551 
## [56] train-mlogloss:0.358309+0.005191    test-mlogloss:0.556322+0.012031 
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## [69] train-mlogloss:0.330098+0.005891    test-mlogloss:0.562888+0.012350 
## [70] train-mlogloss:0.327771+0.005432    test-mlogloss:0.563698+0.012400 
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## [72] train-mlogloss:0.323848+0.005289    test-mlogloss:0.564945+0.013234 
## [73] train-mlogloss:0.321480+0.005330    test-mlogloss:0.565640+0.013091 
## [74] train-mlogloss:0.319380+0.005404    test-mlogloss:0.566037+0.013540 
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## [76] train-mlogloss:0.315839+0.005478    test-mlogloss:0.566326+0.013483 
## [77] train-mlogloss:0.313946+0.005866    test-mlogloss:0.566816+0.013447 
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## [79] train-mlogloss:0.310119+0.006083    test-mlogloss:0.567820+0.013917 
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## [81] train-mlogloss:0.306268+0.005967    test-mlogloss:0.569648+0.014352 
## [82] train-mlogloss:0.304633+0.006261    test-mlogloss:0.570345+0.014203 
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## [438]    train-mlogloss:0.048322+0.001389    test-mlogloss:0.758837+0.024786 
## [439]    train-mlogloss:0.048077+0.001346    test-mlogloss:0.759519+0.024955 
## [440]    train-mlogloss:0.047906+0.001358    test-mlogloss:0.759938+0.025047 
## [441]    train-mlogloss:0.047705+0.001391    test-mlogloss:0.760331+0.025250 
## [442]    train-mlogloss:0.047507+0.001377    test-mlogloss:0.760688+0.025210 
## [443]    train-mlogloss:0.047301+0.001396    test-mlogloss:0.761376+0.025147 
## [444]    train-mlogloss:0.047082+0.001394    test-mlogloss:0.762097+0.025051 
## [445]    train-mlogloss:0.046842+0.001363    test-mlogloss:0.762482+0.024803 
## [446]    train-mlogloss:0.046617+0.001357    test-mlogloss:0.763399+0.024767 
## [447]    train-mlogloss:0.046409+0.001374    test-mlogloss:0.763554+0.024950 
## [448]    train-mlogloss:0.046203+0.001411    test-mlogloss:0.764312+0.024880 
## [449]    train-mlogloss:0.045980+0.001405    test-mlogloss:0.765061+0.024616 
## [450]    train-mlogloss:0.045816+0.001375    test-mlogloss:0.765579+0.024656 
## [451]    train-mlogloss:0.045626+0.001385    test-mlogloss:0.765867+0.025078 
## [452]    train-mlogloss:0.045469+0.001375    test-mlogloss:0.766287+0.025065 
## [453]    train-mlogloss:0.045319+0.001387    test-mlogloss:0.767011+0.025151 
## [454]    train-mlogloss:0.045160+0.001384    test-mlogloss:0.767448+0.025385 
## [455]    train-mlogloss:0.044986+0.001362    test-mlogloss:0.767810+0.025220 
## [456]    train-mlogloss:0.044770+0.001368    test-mlogloss:0.768243+0.025705 
## [457]    train-mlogloss:0.044598+0.001407    test-mlogloss:0.768673+0.025990 
## [458]    train-mlogloss:0.044374+0.001427    test-mlogloss:0.769595+0.026110 
## [459]    train-mlogloss:0.044178+0.001409    test-mlogloss:0.769810+0.026272 
## [460]    train-mlogloss:0.043995+0.001369    test-mlogloss:0.770189+0.026442 
## [461]    train-mlogloss:0.043801+0.001389    test-mlogloss:0.771065+0.026594 
## [462]    train-mlogloss:0.043673+0.001418    test-mlogloss:0.771564+0.026421 
## [463]    train-mlogloss:0.043506+0.001424    test-mlogloss:0.771795+0.026582 
## [464]    train-mlogloss:0.043342+0.001399    test-mlogloss:0.772223+0.026476 
## [465]    train-mlogloss:0.043180+0.001413    test-mlogloss:0.772791+0.026242 
## [466]    train-mlogloss:0.042981+0.001442    test-mlogloss:0.773642+0.026252 
## [467]    train-mlogloss:0.042832+0.001469    test-mlogloss:0.773953+0.026354 
## [468]    train-mlogloss:0.042677+0.001466    test-mlogloss:0.774640+0.026208 
## [469]    train-mlogloss:0.042506+0.001439    test-mlogloss:0.775313+0.026192 
## [470]    train-mlogloss:0.042322+0.001423    test-mlogloss:0.775708+0.025915 
## [471]    train-mlogloss:0.042157+0.001405    test-mlogloss:0.776623+0.026024 
## [472]    train-mlogloss:0.041962+0.001419    test-mlogloss:0.777213+0.026219 
## [473]    train-mlogloss:0.041785+0.001412    test-mlogloss:0.778189+0.026050 
## [474]    train-mlogloss:0.041625+0.001360    test-mlogloss:0.778678+0.026224 
## [475]    train-mlogloss:0.041502+0.001324    test-mlogloss:0.779227+0.026117 
## [476]    train-mlogloss:0.041323+0.001305    test-mlogloss:0.779606+0.026175 
## [477]    train-mlogloss:0.041172+0.001304    test-mlogloss:0.779883+0.026232 
## [478]    train-mlogloss:0.041007+0.001305    test-mlogloss:0.780238+0.026137 
## [479]    train-mlogloss:0.040855+0.001255    test-mlogloss:0.780662+0.026100 
## [480]    train-mlogloss:0.040672+0.001257    test-mlogloss:0.781237+0.025915 
## [481]    train-mlogloss:0.040490+0.001231    test-mlogloss:0.781230+0.025727 
## [482]    train-mlogloss:0.040328+0.001258    test-mlogloss:0.781806+0.026087 
## [483]    train-mlogloss:0.040149+0.001239    test-mlogloss:0.782331+0.026097 
## [484]    train-mlogloss:0.039987+0.001233    test-mlogloss:0.783307+0.026014 
## [485]    train-mlogloss:0.039820+0.001216    test-mlogloss:0.783838+0.025663 
## [486]    train-mlogloss:0.039640+0.001203    test-mlogloss:0.784064+0.025361 
## [487]    train-mlogloss:0.039469+0.001207    test-mlogloss:0.784466+0.025579 
## [488]    train-mlogloss:0.039317+0.001190    test-mlogloss:0.785147+0.025641 
## [489]    train-mlogloss:0.039159+0.001176    test-mlogloss:0.785346+0.025459 
## [490]    train-mlogloss:0.038989+0.001166    test-mlogloss:0.786037+0.025992 
## [491]    train-mlogloss:0.038773+0.001195    test-mlogloss:0.786579+0.026112 
## [492]    train-mlogloss:0.038628+0.001212    test-mlogloss:0.786800+0.026093 
## [493]    train-mlogloss:0.038470+0.001186    test-mlogloss:0.787465+0.025930 
## [494]    train-mlogloss:0.038331+0.001195    test-mlogloss:0.788042+0.025791 
## [495]    train-mlogloss:0.038147+0.001212    test-mlogloss:0.788821+0.025945 
## [496]    train-mlogloss:0.037995+0.001218    test-mlogloss:0.789518+0.025567 
## [497]    train-mlogloss:0.037842+0.001223    test-mlogloss:0.789873+0.025476 
## [498]    train-mlogloss:0.037676+0.001220    test-mlogloss:0.790189+0.025826 
## [499]    train-mlogloss:0.037517+0.001184    test-mlogloss:0.790298+0.025974 
## [500]    train-mlogloss:0.037363+0.001175    test-mlogloss:0.791117+0.026264 
## [1]  train-mlogloss:0.536857+0.002478    test-mlogloss:0.631233+0.002807 
## [2]  train-mlogloss:0.436782+0.002129    test-mlogloss:0.599922+0.004128 
## [3]  train-mlogloss:0.364312+0.003173    test-mlogloss:0.582958+0.005484 
## [4]  train-mlogloss:0.305961+0.001724    test-mlogloss:0.573718+0.006811 
## [5]  train-mlogloss:0.261530+0.001177    test-mlogloss:0.569794+0.006826 
## [6]  train-mlogloss:0.224818+0.001239    test-mlogloss:0.568277+0.007666 
## [7]  train-mlogloss:0.195920+0.001210    test-mlogloss:0.568251+0.009847 
## [8]  train-mlogloss:0.173151+0.001734    test-mlogloss:0.571067+0.011863 
## [9]  train-mlogloss:0.154532+0.001023    test-mlogloss:0.574307+0.012831 
## [10] train-mlogloss:0.139168+0.001053    test-mlogloss:0.578329+0.015424 
## [11] train-mlogloss:0.126491+0.000838    test-mlogloss:0.583126+0.016961 
## [12] train-mlogloss:0.116750+0.001835    test-mlogloss:0.587346+0.018591 
## [13] train-mlogloss:0.107972+0.002452    test-mlogloss:0.592938+0.020048 
## [14] train-mlogloss:0.100236+0.002329    test-mlogloss:0.598091+0.020951 
## [15] train-mlogloss:0.093849+0.001860    test-mlogloss:0.603330+0.021814 
## [16] train-mlogloss:0.089037+0.002700    test-mlogloss:0.605303+0.023342 
## [17] train-mlogloss:0.084496+0.002793    test-mlogloss:0.608683+0.024468 
## [18] train-mlogloss:0.080069+0.003106    test-mlogloss:0.612233+0.024721 
## [19] train-mlogloss:0.076289+0.003357    test-mlogloss:0.614561+0.025213 
## [20] train-mlogloss:0.072776+0.002614    test-mlogloss:0.617538+0.025874 
## [21] train-mlogloss:0.069511+0.001863    test-mlogloss:0.620850+0.026765 
## [22] train-mlogloss:0.066551+0.001646    test-mlogloss:0.624034+0.027921 
## [23] train-mlogloss:0.063298+0.001710    test-mlogloss:0.627534+0.027918 
## [24] train-mlogloss:0.060157+0.001215    test-mlogloss:0.630949+0.029040 
## [25] train-mlogloss:0.057030+0.001065    test-mlogloss:0.635478+0.029359 
## [26] train-mlogloss:0.054302+0.001086    test-mlogloss:0.638757+0.028675 
## [27] train-mlogloss:0.051990+0.001087    test-mlogloss:0.642691+0.029116 
## [28] train-mlogloss:0.050207+0.001253    test-mlogloss:0.645466+0.029158 
## [29] train-mlogloss:0.048104+0.001389    test-mlogloss:0.648375+0.029546 
## [30] train-mlogloss:0.046023+0.001312    test-mlogloss:0.652294+0.030062 
## [31] train-mlogloss:0.044054+0.001270    test-mlogloss:0.655177+0.030502 
## [32] train-mlogloss:0.042519+0.001139    test-mlogloss:0.658231+0.030540 
## [33] train-mlogloss:0.040892+0.001218    test-mlogloss:0.661420+0.030116 
## [34] train-mlogloss:0.039482+0.001254    test-mlogloss:0.664404+0.029973 
## [35] train-mlogloss:0.038052+0.001176    test-mlogloss:0.666868+0.030174 
## [36] train-mlogloss:0.036728+0.001013    test-mlogloss:0.669146+0.030151 
## [37] train-mlogloss:0.035434+0.000919    test-mlogloss:0.671900+0.029777 
## [38] train-mlogloss:0.034292+0.000824    test-mlogloss:0.674022+0.030548 
## [39] train-mlogloss:0.033236+0.000693    test-mlogloss:0.676811+0.030735 
## [40] train-mlogloss:0.032198+0.000565    test-mlogloss:0.679365+0.031513 
## [41] train-mlogloss:0.031252+0.000545    test-mlogloss:0.682082+0.031772 
## [42] train-mlogloss:0.030382+0.000540    test-mlogloss:0.684228+0.032305 
## [43] train-mlogloss:0.029542+0.000495    test-mlogloss:0.686344+0.032638 
## [44] train-mlogloss:0.028742+0.000484    test-mlogloss:0.688913+0.033062 
## [45] train-mlogloss:0.027972+0.000416    test-mlogloss:0.691183+0.033392 
## [46] train-mlogloss:0.027236+0.000427    test-mlogloss:0.693962+0.033456 
## [47] train-mlogloss:0.026551+0.000392    test-mlogloss:0.696133+0.033452 
## [48] train-mlogloss:0.025888+0.000359    test-mlogloss:0.698580+0.033418 
## [49] train-mlogloss:0.025221+0.000324    test-mlogloss:0.700941+0.033644 
## [50] train-mlogloss:0.024569+0.000344    test-mlogloss:0.703268+0.034706 
## [51] train-mlogloss:0.024006+0.000299    test-mlogloss:0.705656+0.034952 
## [52] train-mlogloss:0.023453+0.000307    test-mlogloss:0.707396+0.035394 
## [53] train-mlogloss:0.022921+0.000288    test-mlogloss:0.709089+0.035037 
## [54] train-mlogloss:0.022418+0.000242    test-mlogloss:0.711084+0.035052 
## [55] train-mlogloss:0.021959+0.000222    test-mlogloss:0.713390+0.035330 
## [56] train-mlogloss:0.021493+0.000199    test-mlogloss:0.715240+0.035472 
## [57] train-mlogloss:0.021038+0.000198    test-mlogloss:0.717242+0.035491 
## [58] train-mlogloss:0.020629+0.000197    test-mlogloss:0.719151+0.035643 
## [59] train-mlogloss:0.020201+0.000178    test-mlogloss:0.721078+0.035822 
## [60] train-mlogloss:0.019816+0.000166    test-mlogloss:0.723021+0.034980 
## [61] train-mlogloss:0.019423+0.000169    test-mlogloss:0.725358+0.035309 
## [62] train-mlogloss:0.019054+0.000165    test-mlogloss:0.726920+0.035348 
## [63] train-mlogloss:0.018721+0.000143    test-mlogloss:0.728426+0.035634 
## [64] train-mlogloss:0.018404+0.000136    test-mlogloss:0.730431+0.035705 
## [65] train-mlogloss:0.018079+0.000142    test-mlogloss:0.732525+0.036065 
## [66] train-mlogloss:0.017782+0.000133    test-mlogloss:0.734316+0.036172 
## [67] train-mlogloss:0.017484+0.000107    test-mlogloss:0.735456+0.036410 
## [68] train-mlogloss:0.017196+0.000110    test-mlogloss:0.737153+0.036862 
## [69] train-mlogloss:0.016907+0.000098    test-mlogloss:0.738288+0.037024 
## [70] train-mlogloss:0.016615+0.000104    test-mlogloss:0.740289+0.037605 
## [71] train-mlogloss:0.016344+0.000115    test-mlogloss:0.742138+0.037345 
## [72] train-mlogloss:0.016085+0.000115    test-mlogloss:0.743788+0.037798 
## [73] train-mlogloss:0.015845+0.000111    test-mlogloss:0.745278+0.038141 
## [74] train-mlogloss:0.015618+0.000109    test-mlogloss:0.747113+0.038300 
## [75] train-mlogloss:0.015389+0.000093    test-mlogloss:0.748909+0.038430 
## [76] train-mlogloss:0.015175+0.000086    test-mlogloss:0.750114+0.038827 
## [77] train-mlogloss:0.014966+0.000083    test-mlogloss:0.751475+0.039210 
## [78] train-mlogloss:0.014752+0.000091    test-mlogloss:0.753105+0.039994 
## [79] train-mlogloss:0.014548+0.000086    test-mlogloss:0.755105+0.039808 
## [80] train-mlogloss:0.014350+0.000086    test-mlogloss:0.756607+0.039813 
## [81] train-mlogloss:0.014165+0.000078    test-mlogloss:0.758033+0.040005 
## [82] train-mlogloss:0.013975+0.000072    test-mlogloss:0.759620+0.040288 
## [83] train-mlogloss:0.013794+0.000084    test-mlogloss:0.761390+0.040313 
## [84] train-mlogloss:0.013631+0.000080    test-mlogloss:0.763095+0.040035 
## [85] train-mlogloss:0.013461+0.000083    test-mlogloss:0.764434+0.040205 
## [86] train-mlogloss:0.013296+0.000084    test-mlogloss:0.765728+0.040639 
## [87] train-mlogloss:0.013134+0.000085    test-mlogloss:0.767059+0.040556 
## [88] train-mlogloss:0.012977+0.000093    test-mlogloss:0.768084+0.040542 
## [89] train-mlogloss:0.012823+0.000099    test-mlogloss:0.769135+0.040564 
## [90] train-mlogloss:0.012674+0.000094    test-mlogloss:0.770484+0.040875 
## [91] train-mlogloss:0.012532+0.000098    test-mlogloss:0.772163+0.040862 
## [92] train-mlogloss:0.012385+0.000099    test-mlogloss:0.773750+0.040952 
## [93] train-mlogloss:0.012250+0.000097    test-mlogloss:0.774769+0.040898 
## [94] train-mlogloss:0.012116+0.000101    test-mlogloss:0.776191+0.040853 
## [95] train-mlogloss:0.011985+0.000101    test-mlogloss:0.777638+0.040682 
## [96] train-mlogloss:0.011851+0.000097    test-mlogloss:0.778749+0.041205 
## [97] train-mlogloss:0.011721+0.000092    test-mlogloss:0.779623+0.041057 
## [98] train-mlogloss:0.011595+0.000084    test-mlogloss:0.781067+0.041135 
## [99] train-mlogloss:0.011476+0.000082    test-mlogloss:0.782846+0.041297 
## [100]    train-mlogloss:0.011354+0.000077    test-mlogloss:0.784029+0.041330 
## [101]    train-mlogloss:0.011246+0.000078    test-mlogloss:0.785287+0.041182 
## [102]    train-mlogloss:0.011138+0.000076    test-mlogloss:0.786437+0.041490 
## [103]    train-mlogloss:0.011031+0.000069    test-mlogloss:0.787835+0.041282 
## [104]    train-mlogloss:0.010926+0.000069    test-mlogloss:0.788975+0.041240 
## [105]    train-mlogloss:0.010815+0.000073    test-mlogloss:0.790332+0.041334 
## [106]    train-mlogloss:0.010710+0.000078    test-mlogloss:0.791667+0.041311 
## [107]    train-mlogloss:0.010609+0.000083    test-mlogloss:0.792724+0.041423 
## [108]    train-mlogloss:0.010514+0.000078    test-mlogloss:0.794052+0.041990 
## [109]    train-mlogloss:0.010418+0.000082    test-mlogloss:0.795163+0.042183 
## [110]    train-mlogloss:0.010326+0.000081    test-mlogloss:0.796374+0.042323 
## [111]    train-mlogloss:0.010235+0.000082    test-mlogloss:0.797201+0.042362 
## [112]    train-mlogloss:0.010146+0.000079    test-mlogloss:0.798265+0.042393 
## [113]    train-mlogloss:0.010053+0.000077    test-mlogloss:0.799618+0.042504 
## [114]    train-mlogloss:0.009968+0.000079    test-mlogloss:0.800779+0.042452 
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## [119]    train-mlogloss:0.009553+0.000082    test-mlogloss:0.805931+0.043083 
## [120]    train-mlogloss:0.009478+0.000079    test-mlogloss:0.806604+0.043311 
## [121]    train-mlogloss:0.009404+0.000075    test-mlogloss:0.807349+0.043443 
## [122]    train-mlogloss:0.009330+0.000070    test-mlogloss:0.807767+0.043287 
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## [127]    train-mlogloss:0.008979+0.000067    test-mlogloss:0.811647+0.043462 
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## [129]    train-mlogloss:0.008844+0.000063    test-mlogloss:0.813603+0.043170 
## [130]    train-mlogloss:0.008783+0.000072    test-mlogloss:0.814658+0.043427 
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## [132]    train-mlogloss:0.008656+0.000067    test-mlogloss:0.816123+0.044069 
## [133]    train-mlogloss:0.008599+0.000065    test-mlogloss:0.816910+0.044051 
## [134]    train-mlogloss:0.008540+0.000063    test-mlogloss:0.817830+0.044074 
## [135]    train-mlogloss:0.008482+0.000059    test-mlogloss:0.818711+0.043986 
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## [137]    train-mlogloss:0.008364+0.000064    test-mlogloss:0.820708+0.043967 
## [138]    train-mlogloss:0.008307+0.000066    test-mlogloss:0.821513+0.044275 
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## [398]    train-mlogloss:0.003478+0.000022    test-mlogloss:0.945081+0.054343 
## [399]    train-mlogloss:0.003472+0.000022    test-mlogloss:0.945246+0.054314 
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## [402]    train-mlogloss:0.003453+0.000022    test-mlogloss:0.946095+0.054294 
## [403]    train-mlogloss:0.003447+0.000022    test-mlogloss:0.946142+0.054299 
## [404]    train-mlogloss:0.003440+0.000022    test-mlogloss:0.946326+0.054322 
## [405]    train-mlogloss:0.003434+0.000022    test-mlogloss:0.946705+0.054423 
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## [407]    train-mlogloss:0.003422+0.000021    test-mlogloss:0.947337+0.054149 
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## [409]    train-mlogloss:0.003410+0.000021    test-mlogloss:0.948005+0.054175 
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## [411]    train-mlogloss:0.003398+0.000020    test-mlogloss:0.948181+0.054236 
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## [414]    train-mlogloss:0.003380+0.000022    test-mlogloss:0.948938+0.054339 
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## [417]    train-mlogloss:0.003363+0.000020    test-mlogloss:0.949485+0.054320 
## [418]    train-mlogloss:0.003358+0.000021    test-mlogloss:0.949570+0.054489 
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## [423]    train-mlogloss:0.003330+0.000021    test-mlogloss:0.950941+0.054901 
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## [462]    train-mlogloss:0.003128+0.000022    test-mlogloss:0.961743+0.054756 
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## [464]    train-mlogloss:0.003119+0.000022    test-mlogloss:0.962083+0.054900 
## [465]    train-mlogloss:0.003114+0.000022    test-mlogloss:0.962327+0.054912 
## [466]    train-mlogloss:0.003109+0.000022    test-mlogloss:0.962470+0.054871 
## [467]    train-mlogloss:0.003105+0.000022    test-mlogloss:0.962830+0.054952 
## [468]    train-mlogloss:0.003100+0.000022    test-mlogloss:0.963142+0.055004 
## [469]    train-mlogloss:0.003095+0.000022    test-mlogloss:0.963287+0.054950 
## [470]    train-mlogloss:0.003091+0.000022    test-mlogloss:0.963542+0.054857 
## [471]    train-mlogloss:0.003086+0.000022    test-mlogloss:0.963863+0.054775 
## [472]    train-mlogloss:0.003082+0.000021    test-mlogloss:0.964329+0.054930 
## [473]    train-mlogloss:0.003077+0.000022    test-mlogloss:0.964664+0.055090 
## [474]    train-mlogloss:0.003072+0.000022    test-mlogloss:0.965050+0.055084 
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## [476]    train-mlogloss:0.003064+0.000022    test-mlogloss:0.965513+0.055179 
## [477]    train-mlogloss:0.003059+0.000022    test-mlogloss:0.965692+0.055160 
## [478]    train-mlogloss:0.003055+0.000023    test-mlogloss:0.965906+0.055392 
## [479]    train-mlogloss:0.003051+0.000023    test-mlogloss:0.965938+0.055090 
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## [482]    train-mlogloss:0.003037+0.000023    test-mlogloss:0.966904+0.055430 
## [483]    train-mlogloss:0.003032+0.000023    test-mlogloss:0.967206+0.055197 
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## [486]    train-mlogloss:0.003019+0.000023    test-mlogloss:0.967908+0.055412 
## [487]    train-mlogloss:0.003015+0.000023    test-mlogloss:0.968079+0.055244 
## [488]    train-mlogloss:0.003011+0.000023    test-mlogloss:0.968300+0.055236 
## [489]    train-mlogloss:0.003007+0.000023    test-mlogloss:0.968603+0.055329 
## [490]    train-mlogloss:0.003002+0.000023    test-mlogloss:0.968716+0.055415 
## [491]    train-mlogloss:0.002998+0.000023    test-mlogloss:0.968955+0.055377 
## [492]    train-mlogloss:0.002994+0.000022    test-mlogloss:0.968942+0.055414 
## [493]    train-mlogloss:0.002990+0.000022    test-mlogloss:0.969104+0.055270 
## [494]    train-mlogloss:0.002986+0.000022    test-mlogloss:0.969217+0.055179 
## [495]    train-mlogloss:0.002982+0.000023    test-mlogloss:0.969563+0.055082 
## [496]    train-mlogloss:0.002977+0.000022    test-mlogloss:0.969626+0.055190 
## [497]    train-mlogloss:0.002973+0.000023    test-mlogloss:0.970016+0.055306 
## [498]    train-mlogloss:0.002970+0.000023    test-mlogloss:0.970198+0.055271 
## [499]    train-mlogloss:0.002966+0.000023    test-mlogloss:0.970364+0.055323 
## [500]    train-mlogloss:0.002962+0.000024    test-mlogloss:0.970304+0.055409 
## [1]  train-mlogloss:0.540690+0.002423    test-mlogloss:0.557689+0.008170 
## [2]  train-mlogloss:0.509010+0.002872    test-mlogloss:0.541239+0.009699 
## [3]  train-mlogloss:0.493929+0.003608    test-mlogloss:0.540483+0.011098 
## [4]  train-mlogloss:0.483684+0.002726    test-mlogloss:0.541354+0.011765 
## [5]  train-mlogloss:0.474470+0.003328    test-mlogloss:0.543140+0.012537 
## [6]  train-mlogloss:0.466989+0.004779    test-mlogloss:0.546588+0.014068 
## [7]  train-mlogloss:0.459244+0.004261    test-mlogloss:0.548456+0.013465 
## [8]  train-mlogloss:0.452564+0.004054    test-mlogloss:0.551432+0.013431 
## [9]  train-mlogloss:0.443048+0.004142    test-mlogloss:0.555196+0.015271 
## [10] train-mlogloss:0.435656+0.003752    test-mlogloss:0.557623+0.014925 
## [11] train-mlogloss:0.428906+0.003913    test-mlogloss:0.560836+0.016000 
## [12] train-mlogloss:0.420771+0.004386    test-mlogloss:0.564770+0.015338 
## [13] train-mlogloss:0.414556+0.004842    test-mlogloss:0.567589+0.015060 
## [14] train-mlogloss:0.408960+0.004729    test-mlogloss:0.571144+0.015442 
## [15] train-mlogloss:0.402466+0.005525    test-mlogloss:0.573943+0.014644 
## [16] train-mlogloss:0.396270+0.005188    test-mlogloss:0.574709+0.016479 
## [17] train-mlogloss:0.389978+0.005523    test-mlogloss:0.578347+0.016537 
## [18] train-mlogloss:0.382983+0.005132    test-mlogloss:0.580362+0.015924 
## [19] train-mlogloss:0.376646+0.006390    test-mlogloss:0.584315+0.016776 
## [20] train-mlogloss:0.371058+0.006474    test-mlogloss:0.586522+0.018115 
## [21] train-mlogloss:0.364489+0.006489    test-mlogloss:0.588629+0.015882 
## [22] train-mlogloss:0.358294+0.007535    test-mlogloss:0.590921+0.014730 
## [23] train-mlogloss:0.351611+0.007818    test-mlogloss:0.593907+0.014917 
## [24] train-mlogloss:0.346610+0.007089    test-mlogloss:0.596896+0.015366 
## [25] train-mlogloss:0.340562+0.007580    test-mlogloss:0.600689+0.015989 
## [26] train-mlogloss:0.334094+0.007510    test-mlogloss:0.602412+0.016262 
## [27] train-mlogloss:0.329213+0.007784    test-mlogloss:0.603764+0.016267 
## [28] train-mlogloss:0.323986+0.007414    test-mlogloss:0.606948+0.016314 
## [29] train-mlogloss:0.317889+0.007545    test-mlogloss:0.608798+0.014767 
## [30] train-mlogloss:0.312211+0.007428    test-mlogloss:0.610272+0.015859 
## [31] train-mlogloss:0.306749+0.007492    test-mlogloss:0.612934+0.014506 
## [32] train-mlogloss:0.302592+0.006881    test-mlogloss:0.614689+0.014598 
## [33] train-mlogloss:0.297568+0.007176    test-mlogloss:0.619723+0.014938 
## [34] train-mlogloss:0.292902+0.007512    test-mlogloss:0.620918+0.015072 
## [35] train-mlogloss:0.287719+0.006940    test-mlogloss:0.622831+0.014944 
## [36] train-mlogloss:0.284130+0.007358    test-mlogloss:0.623601+0.015048 
## [37] train-mlogloss:0.280195+0.007416    test-mlogloss:0.625272+0.015141 
## [38] train-mlogloss:0.275181+0.006990    test-mlogloss:0.628740+0.015092 
## [39] train-mlogloss:0.272114+0.007632    test-mlogloss:0.628913+0.015222 
## [40] train-mlogloss:0.268607+0.007747    test-mlogloss:0.631422+0.014945 
## [41] train-mlogloss:0.264345+0.006887    test-mlogloss:0.633878+0.013606 
## [42] train-mlogloss:0.259998+0.007013    test-mlogloss:0.636121+0.015267 
## [43] train-mlogloss:0.255832+0.007267    test-mlogloss:0.638114+0.016237 
## [44] train-mlogloss:0.252135+0.007450    test-mlogloss:0.640147+0.016859 
## [45] train-mlogloss:0.247722+0.007880    test-mlogloss:0.642204+0.016329 
## [46] train-mlogloss:0.243925+0.006934    test-mlogloss:0.644657+0.016297 
## [47] train-mlogloss:0.240308+0.006521    test-mlogloss:0.647182+0.014683 
## [48] train-mlogloss:0.236569+0.005682    test-mlogloss:0.647801+0.015001 
## [49] train-mlogloss:0.232499+0.005506    test-mlogloss:0.650514+0.015719 
## [50] train-mlogloss:0.229261+0.005256    test-mlogloss:0.652195+0.016469 
## [51] train-mlogloss:0.225469+0.005626    test-mlogloss:0.654184+0.017204 
## [52] train-mlogloss:0.221576+0.005212    test-mlogloss:0.656938+0.017683 
## [53] train-mlogloss:0.217967+0.005995    test-mlogloss:0.658875+0.017960 
## [54] train-mlogloss:0.214678+0.005987    test-mlogloss:0.660079+0.018908 
## [55] train-mlogloss:0.211360+0.006156    test-mlogloss:0.662794+0.019149 
## [56] train-mlogloss:0.207773+0.006678    test-mlogloss:0.663947+0.019376 
## [57] train-mlogloss:0.204718+0.006996    test-mlogloss:0.666294+0.019827 
## [58] train-mlogloss:0.201159+0.006598    test-mlogloss:0.669558+0.019673 
## [59] train-mlogloss:0.197973+0.006817    test-mlogloss:0.671481+0.017732 
## [60] train-mlogloss:0.195098+0.007137    test-mlogloss:0.673882+0.017252 
## [61] train-mlogloss:0.192340+0.006460    test-mlogloss:0.675906+0.017287 
## [62] train-mlogloss:0.189310+0.006119    test-mlogloss:0.677144+0.016758 
## [63] train-mlogloss:0.185649+0.005640    test-mlogloss:0.680477+0.017626 
## [64] train-mlogloss:0.182966+0.005751    test-mlogloss:0.682613+0.017312 
## [65] train-mlogloss:0.179886+0.005463    test-mlogloss:0.685460+0.017251 
## [66] train-mlogloss:0.176969+0.005176    test-mlogloss:0.687911+0.019015 
## [67] train-mlogloss:0.174162+0.005209    test-mlogloss:0.690692+0.019595 
## [68] train-mlogloss:0.171625+0.005127    test-mlogloss:0.692228+0.021506 
## [69] train-mlogloss:0.169209+0.005332    test-mlogloss:0.694505+0.021223 
## [70] train-mlogloss:0.167194+0.005404    test-mlogloss:0.695662+0.021701 
## [71] train-mlogloss:0.164653+0.005379    test-mlogloss:0.697344+0.020772 
## [72] train-mlogloss:0.161937+0.005498    test-mlogloss:0.699964+0.021536 
## [73] train-mlogloss:0.159595+0.005641    test-mlogloss:0.701429+0.022154 
## [74] train-mlogloss:0.157211+0.005490    test-mlogloss:0.704560+0.022119 
## [75] train-mlogloss:0.154705+0.005314    test-mlogloss:0.706444+0.021871 
## [76] train-mlogloss:0.152351+0.005253    test-mlogloss:0.708250+0.021668 
## [77] train-mlogloss:0.150021+0.004968    test-mlogloss:0.710907+0.022788 
## [78] train-mlogloss:0.148202+0.005015    test-mlogloss:0.713805+0.021749 
## [79] train-mlogloss:0.146327+0.005381    test-mlogloss:0.715224+0.022702 
## [80] train-mlogloss:0.143788+0.005350    test-mlogloss:0.717304+0.022848 
## [81] train-mlogloss:0.141866+0.005134    test-mlogloss:0.719096+0.023082 
## [82] train-mlogloss:0.139621+0.004870    test-mlogloss:0.722058+0.023617 
## [83] train-mlogloss:0.137706+0.005115    test-mlogloss:0.722877+0.024890 
## [84] train-mlogloss:0.135376+0.005077    test-mlogloss:0.724223+0.024965 
## [85] train-mlogloss:0.133154+0.005080    test-mlogloss:0.725274+0.023937 
## [86] train-mlogloss:0.130847+0.005151    test-mlogloss:0.726725+0.024300 
## [87] train-mlogloss:0.128917+0.005159    test-mlogloss:0.730204+0.024253 
## [88] train-mlogloss:0.126806+0.005120    test-mlogloss:0.732828+0.025000 
## [89] train-mlogloss:0.125040+0.005359    test-mlogloss:0.736245+0.025004 
## [90] train-mlogloss:0.123297+0.005210    test-mlogloss:0.737312+0.023871 
## [91] train-mlogloss:0.121541+0.004848    test-mlogloss:0.738724+0.024003 
## [92] train-mlogloss:0.119596+0.004493    test-mlogloss:0.740246+0.023671 
## [93] train-mlogloss:0.117758+0.004321    test-mlogloss:0.743646+0.024317 
## [94] train-mlogloss:0.116031+0.004041    test-mlogloss:0.746176+0.025637 
## [95] train-mlogloss:0.114097+0.003785    test-mlogloss:0.748368+0.025668 
## [96] train-mlogloss:0.112628+0.003676    test-mlogloss:0.749980+0.025330 
## [97] train-mlogloss:0.111158+0.003342    test-mlogloss:0.752744+0.025791 
## [98] train-mlogloss:0.109285+0.003184    test-mlogloss:0.754551+0.025054 
## [99] train-mlogloss:0.107388+0.002916    test-mlogloss:0.755353+0.025267 
## [100]    train-mlogloss:0.106143+0.002716    test-mlogloss:0.757119+0.024766 
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## [102]    train-mlogloss:0.103187+0.002525    test-mlogloss:0.760088+0.023632 
## [103]    train-mlogloss:0.101877+0.002637    test-mlogloss:0.761817+0.023730 
## [104]    train-mlogloss:0.100470+0.002704    test-mlogloss:0.763417+0.022932 
## [105]    train-mlogloss:0.099214+0.002649    test-mlogloss:0.765037+0.023977 
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## [464]    train-mlogloss:0.005412+0.000164    test-mlogloss:1.165184+0.062840 
## [465]    train-mlogloss:0.005390+0.000163    test-mlogloss:1.165463+0.062572 
## [466]    train-mlogloss:0.005368+0.000162    test-mlogloss:1.166240+0.062930 
## [467]    train-mlogloss:0.005345+0.000164    test-mlogloss:1.166526+0.063477 
## [468]    train-mlogloss:0.005324+0.000162    test-mlogloss:1.168062+0.062921 
## [469]    train-mlogloss:0.005303+0.000161    test-mlogloss:1.168710+0.062977 
## [470]    train-mlogloss:0.005287+0.000159    test-mlogloss:1.169105+0.063336 
## [471]    train-mlogloss:0.005270+0.000160    test-mlogloss:1.169975+0.063286 
## [472]    train-mlogloss:0.005253+0.000161    test-mlogloss:1.170169+0.063186 
## [473]    train-mlogloss:0.005232+0.000157    test-mlogloss:1.170270+0.063133 
## [474]    train-mlogloss:0.005213+0.000158    test-mlogloss:1.171464+0.063474 
## [475]    train-mlogloss:0.005193+0.000157    test-mlogloss:1.172593+0.063458 
## [476]    train-mlogloss:0.005171+0.000157    test-mlogloss:1.173405+0.063239 
## [477]    train-mlogloss:0.005151+0.000158    test-mlogloss:1.174409+0.063376 
## [478]    train-mlogloss:0.005133+0.000155    test-mlogloss:1.174717+0.063619 
## [479]    train-mlogloss:0.005115+0.000153    test-mlogloss:1.174994+0.063545 
## [480]    train-mlogloss:0.005100+0.000156    test-mlogloss:1.175219+0.063551 
## [481]    train-mlogloss:0.005078+0.000152    test-mlogloss:1.175457+0.063434 
## [482]    train-mlogloss:0.005057+0.000149    test-mlogloss:1.176398+0.063449 
## [483]    train-mlogloss:0.005038+0.000150    test-mlogloss:1.177059+0.063462 
## [484]    train-mlogloss:0.005023+0.000152    test-mlogloss:1.178268+0.063667 
## [485]    train-mlogloss:0.005005+0.000152    test-mlogloss:1.178575+0.063277 
## [486]    train-mlogloss:0.004987+0.000146    test-mlogloss:1.179625+0.063023 
## [487]    train-mlogloss:0.004968+0.000146    test-mlogloss:1.180698+0.063336 
## [488]    train-mlogloss:0.004952+0.000144    test-mlogloss:1.180720+0.063098 
## [489]    train-mlogloss:0.004934+0.000144    test-mlogloss:1.181287+0.063660 
## [490]    train-mlogloss:0.004916+0.000144    test-mlogloss:1.181503+0.063799 
## [491]    train-mlogloss:0.004899+0.000140    test-mlogloss:1.181998+0.064230 
## [492]    train-mlogloss:0.004881+0.000140    test-mlogloss:1.183112+0.064235 
## [493]    train-mlogloss:0.004859+0.000139    test-mlogloss:1.183794+0.064802 
## [494]    train-mlogloss:0.004841+0.000137    test-mlogloss:1.184321+0.064012 
## [495]    train-mlogloss:0.004824+0.000138    test-mlogloss:1.184436+0.063859 
## [496]    train-mlogloss:0.004809+0.000132    test-mlogloss:1.185250+0.063324 
## [497]    train-mlogloss:0.004790+0.000128    test-mlogloss:1.185674+0.063864 
## [498]    train-mlogloss:0.004776+0.000126    test-mlogloss:1.186443+0.063206 
## [499]    train-mlogloss:0.004757+0.000120    test-mlogloss:1.187050+0.063117 
## [500]    train-mlogloss:0.004743+0.000118    test-mlogloss:1.188117+0.064209 
## [1]  train-mlogloss:0.364372+0.006186    test-mlogloss:0.603075+0.002904 
## [2]  train-mlogloss:0.236090+0.004954    test-mlogloss:0.612462+0.006888 
## [3]  train-mlogloss:0.166482+0.003960    test-mlogloss:0.630841+0.009064 
## [4]  train-mlogloss:0.126413+0.003827    test-mlogloss:0.645155+0.013658 
## [5]  train-mlogloss:0.103323+0.002727    test-mlogloss:0.658541+0.016090 
## [6]  train-mlogloss:0.088193+0.003964    test-mlogloss:0.672654+0.017155 
## [7]  train-mlogloss:0.075074+0.004093    test-mlogloss:0.683398+0.016084 
## [8]  train-mlogloss:0.064387+0.002766    test-mlogloss:0.697185+0.016844 
## [9]  train-mlogloss:0.057023+0.002509    test-mlogloss:0.704164+0.016549 
## [10] train-mlogloss:0.050186+0.002091    test-mlogloss:0.713414+0.017184 
## [11] train-mlogloss:0.044733+0.002279    test-mlogloss:0.720893+0.018311 
## [12] train-mlogloss:0.039923+0.002027    test-mlogloss:0.728968+0.017615 
## [13] train-mlogloss:0.035817+0.001595    test-mlogloss:0.738196+0.018707 
## [14] train-mlogloss:0.032626+0.001508    test-mlogloss:0.747820+0.017870 
## [15] train-mlogloss:0.029997+0.001327    test-mlogloss:0.757121+0.018018 
## [16] train-mlogloss:0.027744+0.001148    test-mlogloss:0.764008+0.017119 
## [17] train-mlogloss:0.025792+0.000901    test-mlogloss:0.769763+0.016688 
## [18] train-mlogloss:0.024042+0.000841    test-mlogloss:0.775448+0.017786 
## [19] train-mlogloss:0.022524+0.000718    test-mlogloss:0.780968+0.020037 
## [20] train-mlogloss:0.021198+0.000618    test-mlogloss:0.786330+0.020958 
## [21] train-mlogloss:0.020079+0.000605    test-mlogloss:0.790423+0.021121 
## [22] train-mlogloss:0.019051+0.000550    test-mlogloss:0.795783+0.020773 
## [23] train-mlogloss:0.018163+0.000568    test-mlogloss:0.799081+0.021555 
## [24] train-mlogloss:0.017301+0.000503    test-mlogloss:0.804880+0.021756 
## [25] train-mlogloss:0.016607+0.000466    test-mlogloss:0.808873+0.021926 
## [26] train-mlogloss:0.015921+0.000429    test-mlogloss:0.813392+0.021474 
## [27] train-mlogloss:0.015260+0.000377    test-mlogloss:0.816768+0.020570 
## [28] train-mlogloss:0.014668+0.000385    test-mlogloss:0.820140+0.021020 
## [29] train-mlogloss:0.014122+0.000355    test-mlogloss:0.823386+0.020991 
## [30] train-mlogloss:0.013633+0.000341    test-mlogloss:0.827879+0.021626 
## [31] train-mlogloss:0.013190+0.000320    test-mlogloss:0.831401+0.022158 
## [32] train-mlogloss:0.012760+0.000305    test-mlogloss:0.835170+0.020663 
## [33] train-mlogloss:0.012373+0.000285    test-mlogloss:0.838615+0.019522 
## [34] train-mlogloss:0.012018+0.000260    test-mlogloss:0.841730+0.019577 
## [35] train-mlogloss:0.011673+0.000261    test-mlogloss:0.845934+0.019519 
## [36] train-mlogloss:0.011348+0.000240    test-mlogloss:0.849382+0.020920 
## [37] train-mlogloss:0.011051+0.000227    test-mlogloss:0.852237+0.021072 
## [38] train-mlogloss:0.010767+0.000209    test-mlogloss:0.856331+0.020363 
## [39] train-mlogloss:0.010496+0.000194    test-mlogloss:0.859257+0.021068 
## [40] train-mlogloss:0.010228+0.000177    test-mlogloss:0.862597+0.021636 
## [41] train-mlogloss:0.010003+0.000173    test-mlogloss:0.866832+0.021189 
## [42] train-mlogloss:0.009772+0.000173    test-mlogloss:0.869900+0.020894 
## [43] train-mlogloss:0.009545+0.000160    test-mlogloss:0.872720+0.021366 
## [44] train-mlogloss:0.009351+0.000138    test-mlogloss:0.874192+0.020726 
## [45] train-mlogloss:0.009146+0.000135    test-mlogloss:0.876803+0.020740 
## [46] train-mlogloss:0.008964+0.000134    test-mlogloss:0.878669+0.021691 
## [47] train-mlogloss:0.008785+0.000129    test-mlogloss:0.881313+0.021850 
## [48] train-mlogloss:0.008606+0.000122    test-mlogloss:0.883211+0.020349 
## [49] train-mlogloss:0.008446+0.000120    test-mlogloss:0.884775+0.021031 
## [50] train-mlogloss:0.008300+0.000119    test-mlogloss:0.886705+0.021032 
## [51] train-mlogloss:0.008150+0.000116    test-mlogloss:0.889295+0.021119 
## [52] train-mlogloss:0.008011+0.000107    test-mlogloss:0.892407+0.020624 
## [53] train-mlogloss:0.007874+0.000099    test-mlogloss:0.894316+0.020266 
## [54] train-mlogloss:0.007743+0.000088    test-mlogloss:0.896193+0.020726 
## [55] train-mlogloss:0.007616+0.000086    test-mlogloss:0.898452+0.020455 
## [56] train-mlogloss:0.007496+0.000083    test-mlogloss:0.901138+0.021373 
## [57] train-mlogloss:0.007376+0.000084    test-mlogloss:0.903931+0.021386 
## [58] train-mlogloss:0.007257+0.000082    test-mlogloss:0.906433+0.020752 
## [59] train-mlogloss:0.007153+0.000082    test-mlogloss:0.908057+0.021502 
## [60] train-mlogloss:0.007044+0.000079    test-mlogloss:0.909795+0.021763 
## [61] train-mlogloss:0.006941+0.000073    test-mlogloss:0.911469+0.022458 
## [62] train-mlogloss:0.006850+0.000074    test-mlogloss:0.913966+0.022147 
## [63] train-mlogloss:0.006755+0.000067    test-mlogloss:0.916057+0.022625 
## [64] train-mlogloss:0.006659+0.000065    test-mlogloss:0.918884+0.022362 
## [65] train-mlogloss:0.006569+0.000065    test-mlogloss:0.920945+0.022992 
## [66] train-mlogloss:0.006480+0.000062    test-mlogloss:0.922306+0.022784 
## [67] train-mlogloss:0.006396+0.000058    test-mlogloss:0.924112+0.023260 
## [68] train-mlogloss:0.006320+0.000062    test-mlogloss:0.926553+0.023604 
## [69] train-mlogloss:0.006239+0.000059    test-mlogloss:0.928940+0.023212 
## [70] train-mlogloss:0.006167+0.000057    test-mlogloss:0.930384+0.023022 
## [71] train-mlogloss:0.006094+0.000059    test-mlogloss:0.931536+0.022430 
## [72] train-mlogloss:0.006019+0.000060    test-mlogloss:0.933729+0.022495 
## [73] train-mlogloss:0.005956+0.000056    test-mlogloss:0.935417+0.022005 
## [74] train-mlogloss:0.005889+0.000055    test-mlogloss:0.936913+0.022780 
## [75] train-mlogloss:0.005819+0.000054    test-mlogloss:0.937717+0.022849 
## [76] train-mlogloss:0.005752+0.000055    test-mlogloss:0.939090+0.023056 
## [77] train-mlogloss:0.005693+0.000055    test-mlogloss:0.942010+0.022785 
## [78] train-mlogloss:0.005636+0.000056    test-mlogloss:0.943555+0.022980 
## [79] train-mlogloss:0.005575+0.000055    test-mlogloss:0.944697+0.023398 
## [80] train-mlogloss:0.005517+0.000059    test-mlogloss:0.946080+0.022981 
## [81] train-mlogloss:0.005456+0.000057    test-mlogloss:0.947525+0.023629 
## [82] train-mlogloss:0.005400+0.000055    test-mlogloss:0.948158+0.023637 
## [83] train-mlogloss:0.005352+0.000057    test-mlogloss:0.948990+0.024062 
## [84] train-mlogloss:0.005300+0.000055    test-mlogloss:0.951162+0.024645 
## [85] train-mlogloss:0.005247+0.000053    test-mlogloss:0.952554+0.024756 
## [86] train-mlogloss:0.005198+0.000052    test-mlogloss:0.954151+0.024558 
## [87] train-mlogloss:0.005149+0.000050    test-mlogloss:0.955484+0.025275 
## [88] train-mlogloss:0.005101+0.000046    test-mlogloss:0.956452+0.025700 
## [89] train-mlogloss:0.005055+0.000048    test-mlogloss:0.957933+0.025118 
## [90] train-mlogloss:0.005011+0.000047    test-mlogloss:0.959165+0.025904 
## [91] train-mlogloss:0.004967+0.000047    test-mlogloss:0.960479+0.025634 
## [92] train-mlogloss:0.004922+0.000047    test-mlogloss:0.961872+0.025977 
## [93] train-mlogloss:0.004882+0.000048    test-mlogloss:0.963379+0.024788 
## [94] train-mlogloss:0.004843+0.000048    test-mlogloss:0.964824+0.024521 
## [95] train-mlogloss:0.004802+0.000050    test-mlogloss:0.965318+0.024725 
## [96] train-mlogloss:0.004762+0.000049    test-mlogloss:0.966004+0.024674 
## [97] train-mlogloss:0.004724+0.000047    test-mlogloss:0.967190+0.024966 
## [98] train-mlogloss:0.004687+0.000048    test-mlogloss:0.967972+0.024633 
## [99] train-mlogloss:0.004651+0.000045    test-mlogloss:0.968777+0.024589 
## [100]    train-mlogloss:0.004614+0.000046    test-mlogloss:0.970361+0.023987 
## [101]    train-mlogloss:0.004576+0.000047    test-mlogloss:0.970844+0.024348 
## [102]    train-mlogloss:0.004541+0.000046    test-mlogloss:0.971866+0.024931 
## [103]    train-mlogloss:0.004509+0.000044    test-mlogloss:0.973091+0.024816 
## [104]    train-mlogloss:0.004475+0.000042    test-mlogloss:0.973836+0.025066 
## [105]    train-mlogloss:0.004441+0.000041    test-mlogloss:0.975088+0.024301 
## [106]    train-mlogloss:0.004407+0.000040    test-mlogloss:0.976552+0.024115 
## [107]    train-mlogloss:0.004376+0.000039    test-mlogloss:0.977578+0.024619 
## [108]    train-mlogloss:0.004343+0.000039    test-mlogloss:0.978732+0.024935 
## [109]    train-mlogloss:0.004312+0.000039    test-mlogloss:0.979621+0.024873 
## [110]    train-mlogloss:0.004283+0.000039    test-mlogloss:0.980005+0.024438 
## [111]    train-mlogloss:0.004258+0.000040    test-mlogloss:0.981699+0.025477 
## [112]    train-mlogloss:0.004227+0.000040    test-mlogloss:0.982359+0.025328 
## [113]    train-mlogloss:0.004199+0.000044    test-mlogloss:0.984002+0.025644 
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## [115]    train-mlogloss:0.004147+0.000044    test-mlogloss:0.984889+0.025693 
## [116]    train-mlogloss:0.004119+0.000043    test-mlogloss:0.985339+0.026380 
## [117]    train-mlogloss:0.004092+0.000040    test-mlogloss:0.986686+0.026483 
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## [119]    train-mlogloss:0.004040+0.000038    test-mlogloss:0.988197+0.026932 
## [120]    train-mlogloss:0.004016+0.000039    test-mlogloss:0.989098+0.027421 
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## [122]    train-mlogloss:0.003968+0.000038    test-mlogloss:0.990426+0.027753 
## [123]    train-mlogloss:0.003945+0.000037    test-mlogloss:0.991237+0.027939 
## [124]    train-mlogloss:0.003922+0.000036    test-mlogloss:0.991831+0.027625 
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## [126]    train-mlogloss:0.003873+0.000033    test-mlogloss:0.994959+0.027294 
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## [135]    train-mlogloss:0.003677+0.000032    test-mlogloss:1.003747+0.026877 
## [136]    train-mlogloss:0.003656+0.000032    test-mlogloss:1.004444+0.026470 
## [137]    train-mlogloss:0.003635+0.000031    test-mlogloss:1.004298+0.026919 
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## [139]    train-mlogloss:0.003596+0.000032    test-mlogloss:1.006193+0.026586 
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## [381]    train-mlogloss:0.001842+0.000007    test-mlogloss:1.111801+0.030131 
## [382]    train-mlogloss:0.001840+0.000007    test-mlogloss:1.112095+0.029769 
## [383]    train-mlogloss:0.001837+0.000008    test-mlogloss:1.112532+0.029599 
## [384]    train-mlogloss:0.001833+0.000008    test-mlogloss:1.112881+0.029626 
## [385]    train-mlogloss:0.001831+0.000009    test-mlogloss:1.113098+0.030267 
## [386]    train-mlogloss:0.001828+0.000008    test-mlogloss:1.113428+0.030330 
## [387]    train-mlogloss:0.001825+0.000008    test-mlogloss:1.113561+0.030145 
## [388]    train-mlogloss:0.001822+0.000009    test-mlogloss:1.113651+0.030433 
## [389]    train-mlogloss:0.001819+0.000008    test-mlogloss:1.114263+0.030656 
## [390]    train-mlogloss:0.001816+0.000008    test-mlogloss:1.113964+0.030507 
## [391]    train-mlogloss:0.001814+0.000008    test-mlogloss:1.114997+0.030137 
## [392]    train-mlogloss:0.001811+0.000008    test-mlogloss:1.115145+0.030659 
## [393]    train-mlogloss:0.001808+0.000008    test-mlogloss:1.115215+0.030871 
## [394]    train-mlogloss:0.001805+0.000008    test-mlogloss:1.115937+0.030572 
## [395]    train-mlogloss:0.001802+0.000007    test-mlogloss:1.116115+0.030312 
## [396]    train-mlogloss:0.001800+0.000007    test-mlogloss:1.116785+0.030838 
## [397]    train-mlogloss:0.001797+0.000006    test-mlogloss:1.116416+0.030713 
## [398]    train-mlogloss:0.001794+0.000007    test-mlogloss:1.116591+0.031069 
## [399]    train-mlogloss:0.001791+0.000006    test-mlogloss:1.117239+0.030796 
## [400]    train-mlogloss:0.001789+0.000007    test-mlogloss:1.117641+0.030704 
## [401]    train-mlogloss:0.001786+0.000007    test-mlogloss:1.118083+0.030930 
## [402]    train-mlogloss:0.001783+0.000007    test-mlogloss:1.118184+0.030790 
## [403]    train-mlogloss:0.001780+0.000007    test-mlogloss:1.118395+0.030675 
## [404]    train-mlogloss:0.001778+0.000007    test-mlogloss:1.118529+0.030751 
## [405]    train-mlogloss:0.001776+0.000007    test-mlogloss:1.118963+0.030916 
## [406]    train-mlogloss:0.001773+0.000007    test-mlogloss:1.119328+0.030918 
## [407]    train-mlogloss:0.001770+0.000007    test-mlogloss:1.119768+0.030531 
## [408]    train-mlogloss:0.001768+0.000007    test-mlogloss:1.120549+0.030546 
## [409]    train-mlogloss:0.001765+0.000006    test-mlogloss:1.120885+0.030214 
## [410]    train-mlogloss:0.001763+0.000007    test-mlogloss:1.120801+0.030191 
## [411]    train-mlogloss:0.001760+0.000007    test-mlogloss:1.120969+0.029898 
## [412]    train-mlogloss:0.001758+0.000007    test-mlogloss:1.121405+0.029830 
## [413]    train-mlogloss:0.001755+0.000006    test-mlogloss:1.121830+0.029921 
## [414]    train-mlogloss:0.001752+0.000006    test-mlogloss:1.122162+0.029735 
## [415]    train-mlogloss:0.001750+0.000006    test-mlogloss:1.122473+0.029747 
## [416]    train-mlogloss:0.001747+0.000006    test-mlogloss:1.122843+0.030066 
## [417]    train-mlogloss:0.001745+0.000006    test-mlogloss:1.123398+0.029795 
## [418]    train-mlogloss:0.001742+0.000006    test-mlogloss:1.123846+0.030263 
## [419]    train-mlogloss:0.001739+0.000006    test-mlogloss:1.123926+0.030324 
## [420]    train-mlogloss:0.001737+0.000006    test-mlogloss:1.124073+0.030328 
## [421]    train-mlogloss:0.001734+0.000006    test-mlogloss:1.123910+0.030288 
## [422]    train-mlogloss:0.001732+0.000006    test-mlogloss:1.124068+0.029949 
## [423]    train-mlogloss:0.001730+0.000006    test-mlogloss:1.124593+0.030425 
## [424]    train-mlogloss:0.001728+0.000006    test-mlogloss:1.125061+0.030289 
## [425]    train-mlogloss:0.001725+0.000006    test-mlogloss:1.125016+0.029818 
## [426]    train-mlogloss:0.001723+0.000007    test-mlogloss:1.124776+0.029914 
## [427]    train-mlogloss:0.001720+0.000006    test-mlogloss:1.125099+0.030217 
## [428]    train-mlogloss:0.001718+0.000007    test-mlogloss:1.125364+0.030419 
## [429]    train-mlogloss:0.001716+0.000006    test-mlogloss:1.125323+0.030307 
## [430]    train-mlogloss:0.001713+0.000006    test-mlogloss:1.125504+0.030425 
## [431]    train-mlogloss:0.001711+0.000006    test-mlogloss:1.125349+0.030300 
## [432]    train-mlogloss:0.001709+0.000006    test-mlogloss:1.125722+0.030267 
## [433]    train-mlogloss:0.001707+0.000005    test-mlogloss:1.125898+0.030085 
## [434]    train-mlogloss:0.001705+0.000005    test-mlogloss:1.126352+0.030230 
## [435]    train-mlogloss:0.001702+0.000005    test-mlogloss:1.126836+0.030325 
## [436]    train-mlogloss:0.001700+0.000005    test-mlogloss:1.126865+0.030147 
## [437]    train-mlogloss:0.001698+0.000005    test-mlogloss:1.127047+0.030091 
## [438]    train-mlogloss:0.001695+0.000005    test-mlogloss:1.127418+0.030225 
## [439]    train-mlogloss:0.001694+0.000005    test-mlogloss:1.127927+0.030468 
## [440]    train-mlogloss:0.001691+0.000005    test-mlogloss:1.128100+0.030067 
## [441]    train-mlogloss:0.001689+0.000005    test-mlogloss:1.128506+0.030191 
## [442]    train-mlogloss:0.001687+0.000005    test-mlogloss:1.128676+0.030375 
## [443]    train-mlogloss:0.001685+0.000005    test-mlogloss:1.128759+0.030362 
## [444]    train-mlogloss:0.001682+0.000005    test-mlogloss:1.129079+0.029874 
## [445]    train-mlogloss:0.001680+0.000004    test-mlogloss:1.129228+0.030048 
## [446]    train-mlogloss:0.001678+0.000004    test-mlogloss:1.129593+0.030195 
## [447]    train-mlogloss:0.001676+0.000004    test-mlogloss:1.129653+0.030775 
## [448]    train-mlogloss:0.001674+0.000005    test-mlogloss:1.130360+0.030807 
## [449]    train-mlogloss:0.001672+0.000005    test-mlogloss:1.130532+0.030765 
## [450]    train-mlogloss:0.001669+0.000004    test-mlogloss:1.130974+0.030836 
## [451]    train-mlogloss:0.001667+0.000005    test-mlogloss:1.130847+0.031042 
## [452]    train-mlogloss:0.001664+0.000004    test-mlogloss:1.131606+0.030926 
## [453]    train-mlogloss:0.001662+0.000004    test-mlogloss:1.131693+0.030872 
## [454]    train-mlogloss:0.001660+0.000005    test-mlogloss:1.132260+0.030505 
## [455]    train-mlogloss:0.001658+0.000005    test-mlogloss:1.132561+0.030669 
## [456]    train-mlogloss:0.001656+0.000004    test-mlogloss:1.133117+0.030903 
## [457]    train-mlogloss:0.001654+0.000004    test-mlogloss:1.133317+0.030944 
## [458]    train-mlogloss:0.001652+0.000004    test-mlogloss:1.133619+0.031125 
## [459]    train-mlogloss:0.001650+0.000004    test-mlogloss:1.133428+0.031141 
## [460]    train-mlogloss:0.001648+0.000004    test-mlogloss:1.133724+0.030761 
## [461]    train-mlogloss:0.001646+0.000004    test-mlogloss:1.134309+0.031004 
## [462]    train-mlogloss:0.001643+0.000004    test-mlogloss:1.134625+0.031117 
## [463]    train-mlogloss:0.001641+0.000004    test-mlogloss:1.135086+0.031022 
## [464]    train-mlogloss:0.001640+0.000005    test-mlogloss:1.135694+0.031202 
## [465]    train-mlogloss:0.001637+0.000005    test-mlogloss:1.135402+0.031330 
## [466]    train-mlogloss:0.001635+0.000005    test-mlogloss:1.135935+0.031346 
## [467]    train-mlogloss:0.001634+0.000005    test-mlogloss:1.135700+0.031242 
## [468]    train-mlogloss:0.001632+0.000005    test-mlogloss:1.136098+0.030835 
## [469]    train-mlogloss:0.001630+0.000005    test-mlogloss:1.136442+0.030657 
## [470]    train-mlogloss:0.001628+0.000005    test-mlogloss:1.136396+0.030841 
## [471]    train-mlogloss:0.001626+0.000005    test-mlogloss:1.136345+0.030747 
## [472]    train-mlogloss:0.001624+0.000005    test-mlogloss:1.136770+0.030263 
## [473]    train-mlogloss:0.001622+0.000005    test-mlogloss:1.136933+0.030454 
## [474]    train-mlogloss:0.001620+0.000005    test-mlogloss:1.137485+0.030561 
## [475]    train-mlogloss:0.001618+0.000005    test-mlogloss:1.137744+0.030551 
## [476]    train-mlogloss:0.001616+0.000005    test-mlogloss:1.137504+0.030285 
## [477]    train-mlogloss:0.001614+0.000005    test-mlogloss:1.137623+0.030403 
## [478]    train-mlogloss:0.001612+0.000005    test-mlogloss:1.138211+0.030318 
## [479]    train-mlogloss:0.001610+0.000005    test-mlogloss:1.138507+0.030100 
## [480]    train-mlogloss:0.001608+0.000005    test-mlogloss:1.138650+0.029852 
## [481]    train-mlogloss:0.001606+0.000005    test-mlogloss:1.139036+0.029860 
## [482]    train-mlogloss:0.001604+0.000005    test-mlogloss:1.138991+0.030106 
## [483]    train-mlogloss:0.001602+0.000005    test-mlogloss:1.139392+0.030020 
## [484]    train-mlogloss:0.001601+0.000005    test-mlogloss:1.139505+0.030249 
## [485]    train-mlogloss:0.001599+0.000006    test-mlogloss:1.139671+0.030238 
## [486]    train-mlogloss:0.001597+0.000006    test-mlogloss:1.139604+0.030065 
## [487]    train-mlogloss:0.001595+0.000006    test-mlogloss:1.139465+0.029696 
## [488]    train-mlogloss:0.001593+0.000006    test-mlogloss:1.139785+0.029730 
## [489]    train-mlogloss:0.001591+0.000006    test-mlogloss:1.140029+0.029733 
## [490]    train-mlogloss:0.001589+0.000006    test-mlogloss:1.140102+0.029687 
## [491]    train-mlogloss:0.001587+0.000006    test-mlogloss:1.140331+0.030104 
## [492]    train-mlogloss:0.001586+0.000006    test-mlogloss:1.140467+0.029659 
## [493]    train-mlogloss:0.001584+0.000006    test-mlogloss:1.141010+0.030097 
## [494]    train-mlogloss:0.001582+0.000005    test-mlogloss:1.141306+0.029719 
## [495]    train-mlogloss:0.001580+0.000006    test-mlogloss:1.142002+0.029452 
## [496]    train-mlogloss:0.001578+0.000005    test-mlogloss:1.141739+0.029481 
## [497]    train-mlogloss:0.001576+0.000006    test-mlogloss:1.141654+0.030076 
## [498]    train-mlogloss:0.001574+0.000006    test-mlogloss:1.142022+0.030022 
## [499]    train-mlogloss:0.001572+0.000006    test-mlogloss:1.142117+0.030259 
## [500]    train-mlogloss:0.001571+0.000005    test-mlogloss:1.142666+0.030456 
## [1]  train-mlogloss:0.523304+0.002354    test-mlogloss:0.543323+0.008906 
## [2]  train-mlogloss:0.500460+0.001950    test-mlogloss:0.539175+0.009768 
## [3]  train-mlogloss:0.488592+0.002093    test-mlogloss:0.542435+0.008067 
## [4]  train-mlogloss:0.478990+0.003136    test-mlogloss:0.546515+0.007984 
## [5]  train-mlogloss:0.467626+0.005884    test-mlogloss:0.550342+0.008580 
## [6]  train-mlogloss:0.456807+0.006515    test-mlogloss:0.555549+0.010627 
## [7]  train-mlogloss:0.447405+0.006709    test-mlogloss:0.556681+0.009659 
## [8]  train-mlogloss:0.436654+0.008190    test-mlogloss:0.560173+0.010383 
## [9]  train-mlogloss:0.426896+0.009654    test-mlogloss:0.565307+0.011550 
## [10] train-mlogloss:0.418519+0.011017    test-mlogloss:0.570729+0.012730 
## [11] train-mlogloss:0.410726+0.010931    test-mlogloss:0.573680+0.013370 
## [12] train-mlogloss:0.402784+0.009943    test-mlogloss:0.577806+0.014368 
## [13] train-mlogloss:0.393508+0.010187    test-mlogloss:0.583420+0.014346 
## [14] train-mlogloss:0.386276+0.009620    test-mlogloss:0.586689+0.014402 
## [15] train-mlogloss:0.378205+0.009580    test-mlogloss:0.588293+0.014770 
## [16] train-mlogloss:0.370490+0.007749    test-mlogloss:0.590526+0.013429 
## [17] train-mlogloss:0.361925+0.006575    test-mlogloss:0.592932+0.016269 
## [18] train-mlogloss:0.355195+0.007896    test-mlogloss:0.594270+0.016146 
## [19] train-mlogloss:0.348101+0.008347    test-mlogloss:0.597652+0.015224 
## [20] train-mlogloss:0.341553+0.009700    test-mlogloss:0.601951+0.018031 
## [21] train-mlogloss:0.336314+0.009606    test-mlogloss:0.604407+0.016391 
## [22] train-mlogloss:0.329407+0.009691    test-mlogloss:0.608296+0.015372 
## [23] train-mlogloss:0.323927+0.008395    test-mlogloss:0.611828+0.015870 
## [24] train-mlogloss:0.317909+0.008365    test-mlogloss:0.613075+0.015786 
## [25] train-mlogloss:0.310547+0.008278    test-mlogloss:0.617230+0.016432 
## [26] train-mlogloss:0.304148+0.007930    test-mlogloss:0.620318+0.015791 
## [27] train-mlogloss:0.297951+0.008963    test-mlogloss:0.622519+0.016633 
## [28] train-mlogloss:0.292223+0.010003    test-mlogloss:0.625850+0.018173 
## [29] train-mlogloss:0.286400+0.009560    test-mlogloss:0.628890+0.018391 
## [30] train-mlogloss:0.280764+0.009350    test-mlogloss:0.633040+0.017633 
## [31] train-mlogloss:0.275395+0.009087    test-mlogloss:0.634461+0.017775 
## [32] train-mlogloss:0.268952+0.008837    test-mlogloss:0.638063+0.017074 
## [33] train-mlogloss:0.263261+0.007831    test-mlogloss:0.640789+0.017962 
## [34] train-mlogloss:0.258360+0.007304    test-mlogloss:0.644569+0.018865 
## [35] train-mlogloss:0.253425+0.007444    test-mlogloss:0.648469+0.019845 
## [36] train-mlogloss:0.248101+0.006804    test-mlogloss:0.650454+0.020151 
## [37] train-mlogloss:0.244187+0.006686    test-mlogloss:0.652137+0.020870 
## [38] train-mlogloss:0.239743+0.006530    test-mlogloss:0.655463+0.022615 
## [39] train-mlogloss:0.235241+0.005982    test-mlogloss:0.658833+0.022608 
## [40] train-mlogloss:0.230969+0.006307    test-mlogloss:0.661832+0.020476 
## [41] train-mlogloss:0.226184+0.006129    test-mlogloss:0.663052+0.021940 
## [42] train-mlogloss:0.222275+0.006512    test-mlogloss:0.665738+0.022017 
## [43] train-mlogloss:0.218665+0.006652    test-mlogloss:0.667445+0.022806 
## [44] train-mlogloss:0.214181+0.006904    test-mlogloss:0.671487+0.022647 
## [45] train-mlogloss:0.210834+0.006501    test-mlogloss:0.673475+0.023197 
## [46] train-mlogloss:0.207113+0.006370    test-mlogloss:0.675428+0.022655 
## [47] train-mlogloss:0.203315+0.006455    test-mlogloss:0.679469+0.024276 
## [48] train-mlogloss:0.199868+0.006297    test-mlogloss:0.681793+0.024439 
## [49] train-mlogloss:0.196104+0.005598    test-mlogloss:0.684948+0.023477 
## [50] train-mlogloss:0.193034+0.005797    test-mlogloss:0.685177+0.025205 
## [51] train-mlogloss:0.189676+0.005576    test-mlogloss:0.687109+0.026601 
## [52] train-mlogloss:0.185806+0.005848    test-mlogloss:0.689112+0.026318 
## [53] train-mlogloss:0.181524+0.004885    test-mlogloss:0.692710+0.025944 
## [54] train-mlogloss:0.177763+0.004301    test-mlogloss:0.695836+0.025921 
## [55] train-mlogloss:0.174930+0.004409    test-mlogloss:0.696569+0.026720 
## [56] train-mlogloss:0.170947+0.004588    test-mlogloss:0.700448+0.028145 
## [57] train-mlogloss:0.167347+0.004509    test-mlogloss:0.704655+0.028341 
## [58] train-mlogloss:0.163926+0.004386    test-mlogloss:0.707385+0.028860 
## [59] train-mlogloss:0.160421+0.004261    test-mlogloss:0.709075+0.028233 
## [60] train-mlogloss:0.156867+0.003859    test-mlogloss:0.712384+0.029576 
## [61] train-mlogloss:0.153914+0.003749    test-mlogloss:0.714544+0.028790 
## [62] train-mlogloss:0.151230+0.004126    test-mlogloss:0.717737+0.030013 
## [63] train-mlogloss:0.148367+0.004016    test-mlogloss:0.720435+0.031235 
## [64] train-mlogloss:0.145407+0.003681    test-mlogloss:0.723182+0.030537 
## [65] train-mlogloss:0.142698+0.003899    test-mlogloss:0.725025+0.031600 
## [66] train-mlogloss:0.140306+0.003283    test-mlogloss:0.727805+0.031024 
## [67] train-mlogloss:0.137701+0.003515    test-mlogloss:0.731208+0.029964 
## [68] train-mlogloss:0.135085+0.003399    test-mlogloss:0.734707+0.029709 
## [69] train-mlogloss:0.132149+0.003259    test-mlogloss:0.738476+0.029883 
## [70] train-mlogloss:0.129411+0.003054    test-mlogloss:0.740849+0.030326 
## [71] train-mlogloss:0.126853+0.002940    test-mlogloss:0.743465+0.030308 
## [72] train-mlogloss:0.124389+0.003176    test-mlogloss:0.747162+0.030284 
## [73] train-mlogloss:0.122027+0.003039    test-mlogloss:0.749778+0.030236 
## [74] train-mlogloss:0.119908+0.003127    test-mlogloss:0.750577+0.031800 
## [75] train-mlogloss:0.117571+0.003122    test-mlogloss:0.754777+0.031991 
## [76] train-mlogloss:0.115338+0.003197    test-mlogloss:0.757987+0.033882 
## [77] train-mlogloss:0.113031+0.003195    test-mlogloss:0.760413+0.034676 
## [78] train-mlogloss:0.110943+0.002937    test-mlogloss:0.763164+0.034285 
## [79] train-mlogloss:0.108866+0.002821    test-mlogloss:0.765324+0.035234 
## [80] train-mlogloss:0.106704+0.002746    test-mlogloss:0.768674+0.033859 
## [81] train-mlogloss:0.105047+0.002795    test-mlogloss:0.770682+0.033094 
## [82] train-mlogloss:0.103514+0.002704    test-mlogloss:0.772429+0.033361 
## [83] train-mlogloss:0.101753+0.002562    test-mlogloss:0.775116+0.032699 
## [84] train-mlogloss:0.099709+0.002678    test-mlogloss:0.777104+0.033416 
## [85] train-mlogloss:0.097866+0.002332    test-mlogloss:0.777961+0.034058 
## [86] train-mlogloss:0.096163+0.002191    test-mlogloss:0.780026+0.034964 
## [87] train-mlogloss:0.094422+0.002428    test-mlogloss:0.782067+0.035630 
## [88] train-mlogloss:0.092545+0.002513    test-mlogloss:0.785888+0.035494 
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## [92] train-mlogloss:0.086155+0.002715    test-mlogloss:0.795498+0.035837 
## [93] train-mlogloss:0.084604+0.002629    test-mlogloss:0.798042+0.036812 
## [94] train-mlogloss:0.083000+0.002631    test-mlogloss:0.799508+0.036248 
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## [499]    train-mlogloss:0.003220+0.000072    test-mlogloss:1.274628+0.061480 
## [500]    train-mlogloss:0.003211+0.000073    test-mlogloss:1.275317+0.061290 
## [1]  train-mlogloss:0.323127+0.003683    test-mlogloss:0.612926+0.016677 
## [2]  train-mlogloss:0.197613+0.002828    test-mlogloss:0.631850+0.016262 
## [3]  train-mlogloss:0.135453+0.004881    test-mlogloss:0.663851+0.022592 
## [4]  train-mlogloss:0.103607+0.002042    test-mlogloss:0.683307+0.025147 
## [5]  train-mlogloss:0.082151+0.002319    test-mlogloss:0.701395+0.024751 
## [6]  train-mlogloss:0.066125+0.002288    test-mlogloss:0.715931+0.028264 
## [7]  train-mlogloss:0.055196+0.002649    test-mlogloss:0.729350+0.028581 
## [8]  train-mlogloss:0.047204+0.002069    test-mlogloss:0.740107+0.030959 
## [9]  train-mlogloss:0.041294+0.001927    test-mlogloss:0.753310+0.032266 
## [10] train-mlogloss:0.036154+0.001609    test-mlogloss:0.764310+0.031355 
## [11] train-mlogloss:0.032159+0.001290    test-mlogloss:0.774707+0.029884 
## [12] train-mlogloss:0.028913+0.000971    test-mlogloss:0.784808+0.030121 
## [13] train-mlogloss:0.026439+0.000815    test-mlogloss:0.791754+0.028676 
## [14] train-mlogloss:0.024271+0.000745    test-mlogloss:0.801309+0.027540 
## [15] train-mlogloss:0.022400+0.000570    test-mlogloss:0.809559+0.027712 
## [16] train-mlogloss:0.020686+0.000568    test-mlogloss:0.817330+0.028017 
## [17] train-mlogloss:0.019226+0.000444    test-mlogloss:0.826347+0.028347 
## [18] train-mlogloss:0.018068+0.000368    test-mlogloss:0.832773+0.029521 
## [19] train-mlogloss:0.017079+0.000309    test-mlogloss:0.837990+0.029973 
## [20] train-mlogloss:0.016149+0.000267    test-mlogloss:0.843856+0.028445 
## [21] train-mlogloss:0.015336+0.000257    test-mlogloss:0.848999+0.029719 
## [22] train-mlogloss:0.014611+0.000234    test-mlogloss:0.855519+0.029552 
## [23] train-mlogloss:0.013935+0.000221    test-mlogloss:0.860275+0.029251 
## [24] train-mlogloss:0.013343+0.000189    test-mlogloss:0.864823+0.028813 
## [25] train-mlogloss:0.012795+0.000163    test-mlogloss:0.867861+0.027734 
## [26] train-mlogloss:0.012287+0.000150    test-mlogloss:0.871794+0.029629 
## [27] train-mlogloss:0.011838+0.000136    test-mlogloss:0.876832+0.029891 
## [28] train-mlogloss:0.011409+0.000117    test-mlogloss:0.881505+0.028581 
## [29] train-mlogloss:0.011021+0.000113    test-mlogloss:0.885446+0.029224 
## [30] train-mlogloss:0.010673+0.000106    test-mlogloss:0.887974+0.028489 
## [31] train-mlogloss:0.010342+0.000107    test-mlogloss:0.891790+0.029920 
## [32] train-mlogloss:0.010036+0.000100    test-mlogloss:0.895145+0.031072 
## [33] train-mlogloss:0.009746+0.000089    test-mlogloss:0.898386+0.031112 
## [34] train-mlogloss:0.009469+0.000092    test-mlogloss:0.901025+0.031784 
## [35] train-mlogloss:0.009219+0.000083    test-mlogloss:0.904843+0.031278 
## [36] train-mlogloss:0.008958+0.000081    test-mlogloss:0.907218+0.029972 
## [37] train-mlogloss:0.008740+0.000077    test-mlogloss:0.909445+0.029860 
## [38] train-mlogloss:0.008525+0.000072    test-mlogloss:0.912299+0.030259 
## [39] train-mlogloss:0.008327+0.000063    test-mlogloss:0.915690+0.029726 
## [40] train-mlogloss:0.008129+0.000057    test-mlogloss:0.918942+0.029450 
## [41] train-mlogloss:0.007947+0.000047    test-mlogloss:0.920482+0.028745 
## [42] train-mlogloss:0.007791+0.000046    test-mlogloss:0.922745+0.027538 
## [43] train-mlogloss:0.007635+0.000052    test-mlogloss:0.926769+0.027952 
## [44] train-mlogloss:0.007487+0.000046    test-mlogloss:0.929387+0.028007 
## [45] train-mlogloss:0.007341+0.000039    test-mlogloss:0.931178+0.028210 
## [46] train-mlogloss:0.007198+0.000037    test-mlogloss:0.933089+0.029019 
## [47] train-mlogloss:0.007068+0.000032    test-mlogloss:0.936164+0.029718 
## [48] train-mlogloss:0.006944+0.000031    test-mlogloss:0.938346+0.029405 
## [49] train-mlogloss:0.006821+0.000027    test-mlogloss:0.940615+0.030024 
## [50] train-mlogloss:0.006706+0.000021    test-mlogloss:0.942764+0.030591 
## [51] train-mlogloss:0.006587+0.000024    test-mlogloss:0.944926+0.030076 
## [52] train-mlogloss:0.006473+0.000023    test-mlogloss:0.946270+0.030108 
## [53] train-mlogloss:0.006369+0.000031    test-mlogloss:0.948264+0.029618 
## [54] train-mlogloss:0.006277+0.000026    test-mlogloss:0.950427+0.029633 
## [55] train-mlogloss:0.006176+0.000029    test-mlogloss:0.953281+0.029939 
## [56] train-mlogloss:0.006083+0.000032    test-mlogloss:0.956483+0.030417 
## [57] train-mlogloss:0.005991+0.000034    test-mlogloss:0.958853+0.030094 
## [58] train-mlogloss:0.005907+0.000033    test-mlogloss:0.960580+0.029962 
## [59] train-mlogloss:0.005826+0.000037    test-mlogloss:0.963416+0.029424 
## [60] train-mlogloss:0.005746+0.000031    test-mlogloss:0.966116+0.029978 
## [61] train-mlogloss:0.005668+0.000026    test-mlogloss:0.967753+0.031287 
## [62] train-mlogloss:0.005595+0.000023    test-mlogloss:0.969420+0.030981 
## [63] train-mlogloss:0.005521+0.000023    test-mlogloss:0.970621+0.030685 
## [64] train-mlogloss:0.005452+0.000019    test-mlogloss:0.972664+0.030300 
## [65] train-mlogloss:0.005378+0.000020    test-mlogloss:0.973875+0.030314 
## [66] train-mlogloss:0.005313+0.000024    test-mlogloss:0.975225+0.030073 
## [67] train-mlogloss:0.005249+0.000025    test-mlogloss:0.977026+0.029641 
## [68] train-mlogloss:0.005189+0.000024    test-mlogloss:0.978213+0.030629 
## [69] train-mlogloss:0.005127+0.000025    test-mlogloss:0.980142+0.030908 
## [70] train-mlogloss:0.005069+0.000024    test-mlogloss:0.983182+0.031799 
## [71] train-mlogloss:0.005012+0.000026    test-mlogloss:0.985126+0.031022 
## [72] train-mlogloss:0.004954+0.000022    test-mlogloss:0.986008+0.032101 
## [73] train-mlogloss:0.004904+0.000020    test-mlogloss:0.988040+0.031160 
## [74] train-mlogloss:0.004851+0.000019    test-mlogloss:0.989046+0.031551 
## [75] train-mlogloss:0.004802+0.000020    test-mlogloss:0.990780+0.032549 
## [76] train-mlogloss:0.004749+0.000020    test-mlogloss:0.992213+0.032611 
## [77] train-mlogloss:0.004702+0.000020    test-mlogloss:0.994362+0.032275 
## [78] train-mlogloss:0.004656+0.000021    test-mlogloss:0.994324+0.031812 
## [79] train-mlogloss:0.004610+0.000023    test-mlogloss:0.996160+0.031555 
## [80] train-mlogloss:0.004565+0.000024    test-mlogloss:0.997129+0.031770 
## [81] train-mlogloss:0.004521+0.000024    test-mlogloss:0.999226+0.031493 
## [82] train-mlogloss:0.004479+0.000024    test-mlogloss:0.999667+0.031353 
## [83] train-mlogloss:0.004438+0.000025    test-mlogloss:1.000934+0.030663 
## [84] train-mlogloss:0.004401+0.000024    test-mlogloss:1.002762+0.031723 
## [85] train-mlogloss:0.004362+0.000023    test-mlogloss:1.003565+0.032090 
## [86] train-mlogloss:0.004326+0.000022    test-mlogloss:1.003838+0.032240 
## [87] train-mlogloss:0.004286+0.000022    test-mlogloss:1.005189+0.031900 
## [88] train-mlogloss:0.004250+0.000022    test-mlogloss:1.006293+0.032404 
## [89] train-mlogloss:0.004211+0.000022    test-mlogloss:1.007659+0.032679 
## [90] train-mlogloss:0.004176+0.000024    test-mlogloss:1.008632+0.032930 
## [91] train-mlogloss:0.004141+0.000021    test-mlogloss:1.009816+0.032685 
## [92] train-mlogloss:0.004108+0.000019    test-mlogloss:1.011722+0.033554 
## [93] train-mlogloss:0.004075+0.000018    test-mlogloss:1.012173+0.032932 
## [94] train-mlogloss:0.004044+0.000015    test-mlogloss:1.014493+0.032892 
## [95] train-mlogloss:0.004007+0.000016    test-mlogloss:1.015672+0.032406 
## [96] train-mlogloss:0.003976+0.000017    test-mlogloss:1.016534+0.031827 
## [97] train-mlogloss:0.003945+0.000015    test-mlogloss:1.017809+0.032659 
## [98] train-mlogloss:0.003913+0.000017    test-mlogloss:1.019622+0.032891 
## [99] train-mlogloss:0.003882+0.000018    test-mlogloss:1.020374+0.032540 
## [100]    train-mlogloss:0.003853+0.000016    test-mlogloss:1.021505+0.033187 
## [101]    train-mlogloss:0.003826+0.000017    test-mlogloss:1.022243+0.032779 
## [102]    train-mlogloss:0.003797+0.000019    test-mlogloss:1.023081+0.032317 
## [103]    train-mlogloss:0.003771+0.000021    test-mlogloss:1.024558+0.032524 
## [104]    train-mlogloss:0.003745+0.000022    test-mlogloss:1.025789+0.032477 
## [105]    train-mlogloss:0.003718+0.000018    test-mlogloss:1.026568+0.033167 
## [106]    train-mlogloss:0.003694+0.000018    test-mlogloss:1.027423+0.033619 
## [107]    train-mlogloss:0.003669+0.000020    test-mlogloss:1.028964+0.033473 
## [108]    train-mlogloss:0.003647+0.000021    test-mlogloss:1.030198+0.033585 
## [109]    train-mlogloss:0.003620+0.000021    test-mlogloss:1.031275+0.034129 
## [110]    train-mlogloss:0.003597+0.000021    test-mlogloss:1.032528+0.034229 
## [111]    train-mlogloss:0.003573+0.000021    test-mlogloss:1.033229+0.033868 
## [112]    train-mlogloss:0.003551+0.000022    test-mlogloss:1.033726+0.033458 
## [113]    train-mlogloss:0.003529+0.000020    test-mlogloss:1.034544+0.032811 
## [114]    train-mlogloss:0.003506+0.000019    test-mlogloss:1.036206+0.032822 
## [115]    train-mlogloss:0.003483+0.000018    test-mlogloss:1.036749+0.033098 
## [116]    train-mlogloss:0.003462+0.000019    test-mlogloss:1.037557+0.033455 
## [117]    train-mlogloss:0.003441+0.000018    test-mlogloss:1.038989+0.033694 
## [118]    train-mlogloss:0.003419+0.000019    test-mlogloss:1.040193+0.033896 
## [119]    train-mlogloss:0.003398+0.000018    test-mlogloss:1.041406+0.034245 
## [120]    train-mlogloss:0.003376+0.000016    test-mlogloss:1.042561+0.034244 
## [121]    train-mlogloss:0.003356+0.000016    test-mlogloss:1.043960+0.033986 
## [122]    train-mlogloss:0.003338+0.000016    test-mlogloss:1.044242+0.033934 
## [123]    train-mlogloss:0.003318+0.000016    test-mlogloss:1.045517+0.033978 
## [124]    train-mlogloss:0.003297+0.000017    test-mlogloss:1.045770+0.034054 
## [125]    train-mlogloss:0.003280+0.000016    test-mlogloss:1.047266+0.034243 
## [126]    train-mlogloss:0.003261+0.000016    test-mlogloss:1.047925+0.033465 
## [127]    train-mlogloss:0.003241+0.000015    test-mlogloss:1.049232+0.033484 
## [128]    train-mlogloss:0.003223+0.000014    test-mlogloss:1.050094+0.033040 
## [129]    train-mlogloss:0.003206+0.000014    test-mlogloss:1.051665+0.033659 
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## [132]    train-mlogloss:0.003156+0.000013    test-mlogloss:1.054588+0.033669 
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## [416]    train-mlogloss:0.001528+0.000009    test-mlogloss:1.174239+0.036699 
## [417]    train-mlogloss:0.001526+0.000009    test-mlogloss:1.174682+0.036424 
## [418]    train-mlogloss:0.001523+0.000009    test-mlogloss:1.174966+0.037284 
## [419]    train-mlogloss:0.001522+0.000009    test-mlogloss:1.175304+0.037229 
## [420]    train-mlogloss:0.001520+0.000009    test-mlogloss:1.175538+0.036972 
## [421]    train-mlogloss:0.001518+0.000009    test-mlogloss:1.175837+0.037666 
## [422]    train-mlogloss:0.001516+0.000009    test-mlogloss:1.175734+0.037561 
## [423]    train-mlogloss:0.001514+0.000009    test-mlogloss:1.175469+0.036416 
## [424]    train-mlogloss:0.001512+0.000008    test-mlogloss:1.176005+0.037059 
## [425]    train-mlogloss:0.001510+0.000008    test-mlogloss:1.176173+0.036529 
## [426]    train-mlogloss:0.001508+0.000009    test-mlogloss:1.176324+0.037275 
## [427]    train-mlogloss:0.001506+0.000009    test-mlogloss:1.176469+0.037462 
## [428]    train-mlogloss:0.001504+0.000009    test-mlogloss:1.176388+0.037633 
## [429]    train-mlogloss:0.001502+0.000008    test-mlogloss:1.176477+0.037006 
## [430]    train-mlogloss:0.001501+0.000008    test-mlogloss:1.176780+0.037383 
## [431]    train-mlogloss:0.001499+0.000009    test-mlogloss:1.177060+0.036727 
## [432]    train-mlogloss:0.001496+0.000009    test-mlogloss:1.177602+0.036636 
## [433]    train-mlogloss:0.001494+0.000009    test-mlogloss:1.177890+0.037024 
## [434]    train-mlogloss:0.001493+0.000008    test-mlogloss:1.177648+0.036830 
## [435]    train-mlogloss:0.001490+0.000008    test-mlogloss:1.178091+0.036981 
## [436]    train-mlogloss:0.001488+0.000009    test-mlogloss:1.178237+0.037447 
## [437]    train-mlogloss:0.001487+0.000009    test-mlogloss:1.178311+0.037506 
## [438]    train-mlogloss:0.001484+0.000009    test-mlogloss:1.178714+0.037104 
## [439]    train-mlogloss:0.001482+0.000009    test-mlogloss:1.179012+0.036859 
## [440]    train-mlogloss:0.001481+0.000009    test-mlogloss:1.178889+0.036296 
## [441]    train-mlogloss:0.001479+0.000009    test-mlogloss:1.179495+0.036658 
## [442]    train-mlogloss:0.001477+0.000010    test-mlogloss:1.179764+0.036702 
## [443]    train-mlogloss:0.001475+0.000009    test-mlogloss:1.180676+0.037058 
## [444]    train-mlogloss:0.001473+0.000010    test-mlogloss:1.180458+0.037234 
## [445]    train-mlogloss:0.001472+0.000009    test-mlogloss:1.180563+0.036984 
## [446]    train-mlogloss:0.001470+0.000010    test-mlogloss:1.181482+0.037123 
## [447]    train-mlogloss:0.001468+0.000010    test-mlogloss:1.181181+0.037210 
## [448]    train-mlogloss:0.001466+0.000010    test-mlogloss:1.180965+0.036698 
## [449]    train-mlogloss:0.001464+0.000010    test-mlogloss:1.181839+0.037015 
## [450]    train-mlogloss:0.001462+0.000010    test-mlogloss:1.181717+0.037440 
## [451]    train-mlogloss:0.001461+0.000010    test-mlogloss:1.182399+0.037270 
## [452]    train-mlogloss:0.001459+0.000010    test-mlogloss:1.183035+0.037495 
## [453]    train-mlogloss:0.001457+0.000010    test-mlogloss:1.183083+0.037309 
## [454]    train-mlogloss:0.001455+0.000010    test-mlogloss:1.183310+0.037293 
## [455]    train-mlogloss:0.001454+0.000010    test-mlogloss:1.183339+0.037173 
## [456]    train-mlogloss:0.001452+0.000010    test-mlogloss:1.183612+0.037524 
## [457]    train-mlogloss:0.001450+0.000010    test-mlogloss:1.184121+0.037082 
## [458]    train-mlogloss:0.001448+0.000010    test-mlogloss:1.184464+0.037192 
## [459]    train-mlogloss:0.001446+0.000010    test-mlogloss:1.184870+0.037149 
## [460]    train-mlogloss:0.001445+0.000010    test-mlogloss:1.184982+0.037393 
## [461]    train-mlogloss:0.001443+0.000010    test-mlogloss:1.185062+0.037213 
## [462]    train-mlogloss:0.001441+0.000010    test-mlogloss:1.184786+0.036420 
## [463]    train-mlogloss:0.001440+0.000010    test-mlogloss:1.184716+0.036720 
## [464]    train-mlogloss:0.001438+0.000010    test-mlogloss:1.185581+0.036847 
## [465]    train-mlogloss:0.001436+0.000010    test-mlogloss:1.186171+0.036960 
## [466]    train-mlogloss:0.001434+0.000010    test-mlogloss:1.186301+0.037349 
## [467]    train-mlogloss:0.001433+0.000010    test-mlogloss:1.186040+0.037393 
## [468]    train-mlogloss:0.001431+0.000010    test-mlogloss:1.186668+0.037524 
## [469]    train-mlogloss:0.001429+0.000010    test-mlogloss:1.186584+0.037411 
## [470]    train-mlogloss:0.001428+0.000010    test-mlogloss:1.187163+0.037266 
## [471]    train-mlogloss:0.001426+0.000010    test-mlogloss:1.187162+0.037019 
## [472]    train-mlogloss:0.001425+0.000010    test-mlogloss:1.187187+0.036797 
## [473]    train-mlogloss:0.001423+0.000010    test-mlogloss:1.187295+0.036858 
## [474]    train-mlogloss:0.001422+0.000010    test-mlogloss:1.187367+0.037363 
## [475]    train-mlogloss:0.001420+0.000010    test-mlogloss:1.187553+0.037864 
## [476]    train-mlogloss:0.001418+0.000010    test-mlogloss:1.187761+0.037812 
## [477]    train-mlogloss:0.001416+0.000010    test-mlogloss:1.187794+0.037157 
## [478]    train-mlogloss:0.001415+0.000010    test-mlogloss:1.188009+0.037460 
## [479]    train-mlogloss:0.001413+0.000010    test-mlogloss:1.188113+0.037415 
## [480]    train-mlogloss:0.001411+0.000010    test-mlogloss:1.188534+0.037937 
## [481]    train-mlogloss:0.001409+0.000010    test-mlogloss:1.188504+0.037488 
## [482]    train-mlogloss:0.001408+0.000010    test-mlogloss:1.189464+0.037904 
## [483]    train-mlogloss:0.001406+0.000010    test-mlogloss:1.189726+0.038364 
## [484]    train-mlogloss:0.001405+0.000009    test-mlogloss:1.190088+0.038008 
## [485]    train-mlogloss:0.001403+0.000009    test-mlogloss:1.190602+0.037995 
## [486]    train-mlogloss:0.001401+0.000009    test-mlogloss:1.191275+0.037835 
## [487]    train-mlogloss:0.001399+0.000010    test-mlogloss:1.191276+0.037594 
## [488]    train-mlogloss:0.001397+0.000010    test-mlogloss:1.191348+0.037738 
## [489]    train-mlogloss:0.001396+0.000009    test-mlogloss:1.191534+0.037693 
## [490]    train-mlogloss:0.001394+0.000010    test-mlogloss:1.191623+0.038083 
## [491]    train-mlogloss:0.001393+0.000010    test-mlogloss:1.191333+0.037871 
## [492]    train-mlogloss:0.001391+0.000010    test-mlogloss:1.191674+0.037663 
## [493]    train-mlogloss:0.001389+0.000010    test-mlogloss:1.192185+0.037750 
## [494]    train-mlogloss:0.001388+0.000009    test-mlogloss:1.192314+0.038477 
## [495]    train-mlogloss:0.001387+0.000009    test-mlogloss:1.192505+0.038011 
## [496]    train-mlogloss:0.001385+0.000009    test-mlogloss:1.192326+0.037713 
## [497]    train-mlogloss:0.001384+0.000009    test-mlogloss:1.192268+0.037158 
## [498]    train-mlogloss:0.001382+0.000009    test-mlogloss:1.192389+0.037794 
## [499]    train-mlogloss:0.001380+0.000009    test-mlogloss:1.192247+0.037816 
## [500]    train-mlogloss:0.001379+0.000009    test-mlogloss:1.192472+0.037565 
## [1]  train-mlogloss:0.615597+0.002247    test-mlogloss:0.622397+0.002425 
## [2]  train-mlogloss:0.570571+0.001489    test-mlogloss:0.584042+0.003431 
## [3]  train-mlogloss:0.542980+0.001342    test-mlogloss:0.561440+0.005140 
## [4]  train-mlogloss:0.524724+0.001336    test-mlogloss:0.549096+0.005531 
## [5]  train-mlogloss:0.511923+0.000871    test-mlogloss:0.541899+0.006453 
## [6]  train-mlogloss:0.502970+0.001266    test-mlogloss:0.537673+0.006737 
## [7]  train-mlogloss:0.496103+0.001217    test-mlogloss:0.535734+0.007197 
## [8]  train-mlogloss:0.490195+0.001330    test-mlogloss:0.533764+0.007440 
## [9]  train-mlogloss:0.485407+0.001607    test-mlogloss:0.533152+0.007240 
## [10] train-mlogloss:0.480887+0.002252    test-mlogloss:0.532673+0.007371 
## [11] train-mlogloss:0.477478+0.002662    test-mlogloss:0.532628+0.007956 
## [12] train-mlogloss:0.474300+0.002757    test-mlogloss:0.532690+0.008231 
## [13] train-mlogloss:0.472113+0.003366    test-mlogloss:0.532977+0.008359 
## [14] train-mlogloss:0.470032+0.004132    test-mlogloss:0.532885+0.008685 
## [15] train-mlogloss:0.467728+0.004051    test-mlogloss:0.533353+0.008114 
## [16] train-mlogloss:0.465781+0.003986    test-mlogloss:0.533543+0.008158 
## [17] train-mlogloss:0.464150+0.003984    test-mlogloss:0.534037+0.008066 
## [18] train-mlogloss:0.462469+0.004267    test-mlogloss:0.534313+0.008103 
## [19] train-mlogloss:0.459760+0.004149    test-mlogloss:0.534569+0.007812 
## [20] train-mlogloss:0.457772+0.003929    test-mlogloss:0.534981+0.007751 
## [21] train-mlogloss:0.455771+0.004744    test-mlogloss:0.535465+0.007736 
## [22] train-mlogloss:0.454166+0.003648    test-mlogloss:0.535751+0.007750 
## [23] train-mlogloss:0.450895+0.003488    test-mlogloss:0.536120+0.008161 
## [24] train-mlogloss:0.448385+0.004052    test-mlogloss:0.536471+0.008281 
## [25] train-mlogloss:0.447033+0.004395    test-mlogloss:0.536784+0.008228 
## [26] train-mlogloss:0.445166+0.004438    test-mlogloss:0.536935+0.008419 
## [27] train-mlogloss:0.442547+0.004866    test-mlogloss:0.537193+0.008548 
## [28] train-mlogloss:0.439395+0.005445    test-mlogloss:0.537781+0.008744 
## [29] train-mlogloss:0.437293+0.005776    test-mlogloss:0.538573+0.008514 
## [30] train-mlogloss:0.435136+0.006392    test-mlogloss:0.539037+0.008708 
## [31] train-mlogloss:0.432805+0.006715    test-mlogloss:0.540235+0.009113 
## [32] train-mlogloss:0.430884+0.005868    test-mlogloss:0.540546+0.009087 
## [33] train-mlogloss:0.428229+0.004762    test-mlogloss:0.541037+0.009045 
## [34] train-mlogloss:0.426070+0.005483    test-mlogloss:0.541368+0.009002 
## [35] train-mlogloss:0.424679+0.005555    test-mlogloss:0.541714+0.009029 
## [36] train-mlogloss:0.422653+0.006135    test-mlogloss:0.541744+0.008983 
## [37] train-mlogloss:0.421586+0.006519    test-mlogloss:0.542016+0.008997 
## [38] train-mlogloss:0.420098+0.006198    test-mlogloss:0.542236+0.009204 
## [39] train-mlogloss:0.418247+0.006924    test-mlogloss:0.542566+0.009329 
## [40] train-mlogloss:0.415635+0.007709    test-mlogloss:0.542680+0.009457 
## [41] train-mlogloss:0.413093+0.008920    test-mlogloss:0.543436+0.010067 
## [42] train-mlogloss:0.411268+0.008434    test-mlogloss:0.543665+0.010006 
## [43] train-mlogloss:0.409497+0.008010    test-mlogloss:0.543910+0.010138 
## [44] train-mlogloss:0.407266+0.007330    test-mlogloss:0.544948+0.009278 
## [45] train-mlogloss:0.405758+0.006994    test-mlogloss:0.545115+0.009528 
## [46] train-mlogloss:0.403680+0.006475    test-mlogloss:0.545733+0.009643 
## [47] train-mlogloss:0.401658+0.006138    test-mlogloss:0.546191+0.009304 
## [48] train-mlogloss:0.398809+0.006130    test-mlogloss:0.546599+0.009618 
## [49] train-mlogloss:0.396984+0.006769    test-mlogloss:0.547264+0.009613 
## [50] train-mlogloss:0.393859+0.006285    test-mlogloss:0.548256+0.009327 
## [51] train-mlogloss:0.392218+0.006238    test-mlogloss:0.548666+0.009663 
## [52] train-mlogloss:0.390670+0.006435    test-mlogloss:0.549245+0.009921 
## [53] train-mlogloss:0.388749+0.006119    test-mlogloss:0.549498+0.009794 
## [54] train-mlogloss:0.386184+0.006575    test-mlogloss:0.549841+0.010459 
## [55] train-mlogloss:0.383126+0.006335    test-mlogloss:0.549980+0.010911 
## [56] train-mlogloss:0.381605+0.006025    test-mlogloss:0.550319+0.010350 
## [57] train-mlogloss:0.379795+0.006365    test-mlogloss:0.551107+0.010888 
## [58] train-mlogloss:0.377692+0.006681    test-mlogloss:0.551975+0.010791 
## [59] train-mlogloss:0.375986+0.006751    test-mlogloss:0.552327+0.010960 
## [60] train-mlogloss:0.374086+0.006140    test-mlogloss:0.552306+0.010740 
## [61] train-mlogloss:0.372400+0.006557    test-mlogloss:0.552689+0.010751 
## [62] train-mlogloss:0.370749+0.006443    test-mlogloss:0.553089+0.010924 
## [63] train-mlogloss:0.369266+0.005758    test-mlogloss:0.553548+0.010889 
## [64] train-mlogloss:0.366816+0.006338    test-mlogloss:0.553829+0.010704 
## [65] train-mlogloss:0.365408+0.005808    test-mlogloss:0.553978+0.010709 
## [66] train-mlogloss:0.363530+0.005158    test-mlogloss:0.554406+0.010524 
## [67] train-mlogloss:0.361282+0.004194    test-mlogloss:0.554738+0.010491 
## [68] train-mlogloss:0.358800+0.004367    test-mlogloss:0.555585+0.010688 
## [69] train-mlogloss:0.356819+0.004734    test-mlogloss:0.555448+0.010326 
## [70] train-mlogloss:0.354193+0.005061    test-mlogloss:0.555870+0.010684 
## [71] train-mlogloss:0.351932+0.004690    test-mlogloss:0.556309+0.010653 
## [72] train-mlogloss:0.350411+0.004361    test-mlogloss:0.556652+0.010271 
## [73] train-mlogloss:0.348965+0.004608    test-mlogloss:0.556828+0.010734 
## [74] train-mlogloss:0.347091+0.004543    test-mlogloss:0.557155+0.010716 
## [75] train-mlogloss:0.345126+0.004392    test-mlogloss:0.557589+0.011152 
## [76] train-mlogloss:0.344359+0.004277    test-mlogloss:0.557934+0.010988 
## [77] train-mlogloss:0.342998+0.003854    test-mlogloss:0.558183+0.010995 
## [78] train-mlogloss:0.341398+0.004001    test-mlogloss:0.558725+0.010981 
## [79] train-mlogloss:0.340400+0.004551    test-mlogloss:0.559371+0.011953 
## [80] train-mlogloss:0.339754+0.004494    test-mlogloss:0.559596+0.011768 
## [81] train-mlogloss:0.338055+0.004372    test-mlogloss:0.560540+0.012039 
## [82] train-mlogloss:0.335531+0.004367    test-mlogloss:0.561123+0.011616 
## [83] train-mlogloss:0.333782+0.004213    test-mlogloss:0.561564+0.011493 
## [84] train-mlogloss:0.332345+0.004817    test-mlogloss:0.562066+0.011721 
## [85] train-mlogloss:0.330907+0.004946    test-mlogloss:0.562356+0.012222 
## [86] train-mlogloss:0.329130+0.005477    test-mlogloss:0.562689+0.012463 
## [87] train-mlogloss:0.326810+0.005377    test-mlogloss:0.563265+0.012646 
## [88] train-mlogloss:0.325156+0.005400    test-mlogloss:0.563889+0.013000 
## [89] train-mlogloss:0.323919+0.006201    test-mlogloss:0.564268+0.012899 
## [90] train-mlogloss:0.322523+0.006006    test-mlogloss:0.564957+0.012559 
## [91] train-mlogloss:0.321410+0.005939    test-mlogloss:0.565196+0.012646 
## [92] train-mlogloss:0.319754+0.005957    test-mlogloss:0.565992+0.012409 
## [93] train-mlogloss:0.318097+0.005539    test-mlogloss:0.566423+0.012344 
## [94] train-mlogloss:0.316835+0.005161    test-mlogloss:0.566476+0.012434 
## [95] train-mlogloss:0.315855+0.005048    test-mlogloss:0.566837+0.012672 
## [96] train-mlogloss:0.314318+0.005228    test-mlogloss:0.567651+0.012807 
## [97] train-mlogloss:0.312866+0.005550    test-mlogloss:0.567736+0.012937 
## [98] train-mlogloss:0.311290+0.005785    test-mlogloss:0.568343+0.012645 
## [99] train-mlogloss:0.310355+0.006045    test-mlogloss:0.568499+0.013003 
## [100]    train-mlogloss:0.309027+0.006535    test-mlogloss:0.569101+0.013292 
## [101]    train-mlogloss:0.307640+0.006403    test-mlogloss:0.569462+0.013413 
## [102]    train-mlogloss:0.305969+0.006541    test-mlogloss:0.569821+0.013935 
## [103]    train-mlogloss:0.304205+0.007003    test-mlogloss:0.570079+0.014067 
## [104]    train-mlogloss:0.302891+0.007297    test-mlogloss:0.570650+0.014044 
## [105]    train-mlogloss:0.301291+0.007165    test-mlogloss:0.571726+0.013410 
## [106]    train-mlogloss:0.300180+0.006841    test-mlogloss:0.572108+0.013529 
## [107]    train-mlogloss:0.299044+0.007073    test-mlogloss:0.572283+0.014116 
## [108]    train-mlogloss:0.297889+0.007714    test-mlogloss:0.572396+0.014210 
## [109]    train-mlogloss:0.296166+0.007074    test-mlogloss:0.572729+0.014346 
## [110]    train-mlogloss:0.294745+0.007286    test-mlogloss:0.572949+0.014270 
## [111]    train-mlogloss:0.292815+0.007371    test-mlogloss:0.573736+0.014792 
## [112]    train-mlogloss:0.291455+0.007485    test-mlogloss:0.574022+0.015270 
## [113]    train-mlogloss:0.290241+0.007105    test-mlogloss:0.574621+0.015306 
## [114]    train-mlogloss:0.289246+0.006753    test-mlogloss:0.575068+0.015029 
## [115]    train-mlogloss:0.288046+0.006536    test-mlogloss:0.575227+0.014922 
## [116]    train-mlogloss:0.286800+0.006533    test-mlogloss:0.575543+0.014966 
## [117]    train-mlogloss:0.285838+0.006661    test-mlogloss:0.576075+0.014925 
## [118]    train-mlogloss:0.284107+0.006617    test-mlogloss:0.576368+0.014875 
## [119]    train-mlogloss:0.282444+0.006627    test-mlogloss:0.576670+0.014692 
## [120]    train-mlogloss:0.280736+0.006899    test-mlogloss:0.577363+0.015015 
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## [500]    train-mlogloss:0.057708+0.002742    test-mlogloss:0.741321+0.025501 
## [1]  train-mlogloss:0.513311+0.003553    test-mlogloss:0.632388+0.003599 
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## [4]  train-mlogloss:0.266193+0.002069    test-mlogloss:0.578602+0.007628 
## [5]  train-mlogloss:0.219997+0.002098    test-mlogloss:0.576842+0.009298 
## [6]  train-mlogloss:0.185625+0.001445    test-mlogloss:0.576808+0.010914 
## [7]  train-mlogloss:0.158938+0.001400    test-mlogloss:0.581567+0.012112 
## [8]  train-mlogloss:0.137691+0.001375    test-mlogloss:0.585673+0.013837 
## [9]  train-mlogloss:0.120404+0.001421    test-mlogloss:0.590973+0.013374 
## [10] train-mlogloss:0.106342+0.001245    test-mlogloss:0.594725+0.013623 
## [11] train-mlogloss:0.095560+0.001053    test-mlogloss:0.599177+0.014337 
## [12] train-mlogloss:0.086070+0.000861    test-mlogloss:0.604454+0.014015 
## [13] train-mlogloss:0.078217+0.000807    test-mlogloss:0.610694+0.015038 
## [14] train-mlogloss:0.071711+0.001018    test-mlogloss:0.615938+0.015030 
## [15] train-mlogloss:0.066067+0.000811    test-mlogloss:0.620797+0.015243 
## [16] train-mlogloss:0.061554+0.000883    test-mlogloss:0.625788+0.015896 
## [17] train-mlogloss:0.057615+0.000888    test-mlogloss:0.631271+0.015509 
## [18] train-mlogloss:0.054352+0.001152    test-mlogloss:0.635283+0.016039 
## [19] train-mlogloss:0.051442+0.001444    test-mlogloss:0.639365+0.015980 
## [20] train-mlogloss:0.048537+0.001295    test-mlogloss:0.643816+0.016408 
## [21] train-mlogloss:0.046607+0.001435    test-mlogloss:0.647274+0.016928 
## [22] train-mlogloss:0.044631+0.001478    test-mlogloss:0.650543+0.016039 
## [23] train-mlogloss:0.043015+0.001680    test-mlogloss:0.653919+0.016093 
## [24] train-mlogloss:0.041477+0.001613    test-mlogloss:0.656878+0.016424 
## [25] train-mlogloss:0.039801+0.001626    test-mlogloss:0.660960+0.016550 
## [26] train-mlogloss:0.038542+0.001798    test-mlogloss:0.663593+0.016380 
## [27] train-mlogloss:0.037115+0.001654    test-mlogloss:0.666023+0.016146 
## [28] train-mlogloss:0.035886+0.001710    test-mlogloss:0.668326+0.016587 
## [29] train-mlogloss:0.034500+0.001720    test-mlogloss:0.671928+0.016434 
## [30] train-mlogloss:0.033182+0.001463    test-mlogloss:0.675035+0.017379 
## [31] train-mlogloss:0.032172+0.001238    test-mlogloss:0.678004+0.018500 
## [32] train-mlogloss:0.031197+0.001298    test-mlogloss:0.681251+0.019387 
## [33] train-mlogloss:0.030411+0.001147    test-mlogloss:0.683954+0.020205 
## [34] train-mlogloss:0.029773+0.001203    test-mlogloss:0.685834+0.020278 
## [35] train-mlogloss:0.028867+0.001228    test-mlogloss:0.688413+0.020519 
## [36] train-mlogloss:0.028047+0.001278    test-mlogloss:0.690603+0.020548 
## [37] train-mlogloss:0.027341+0.001286    test-mlogloss:0.692486+0.020322 
## [38] train-mlogloss:0.026520+0.001200    test-mlogloss:0.695559+0.020878 
## [39] train-mlogloss:0.025678+0.001183    test-mlogloss:0.697621+0.020957 
## [40] train-mlogloss:0.025004+0.000999    test-mlogloss:0.699324+0.021071 
## [41] train-mlogloss:0.024260+0.000859    test-mlogloss:0.702922+0.021459 
## [42] train-mlogloss:0.023791+0.000766    test-mlogloss:0.704188+0.021791 
## [43] train-mlogloss:0.023230+0.000811    test-mlogloss:0.706585+0.021102 
## [44] train-mlogloss:0.022593+0.000818    test-mlogloss:0.708838+0.021639 
## [45] train-mlogloss:0.022078+0.000768    test-mlogloss:0.710812+0.021563 
## [46] train-mlogloss:0.021486+0.000672    test-mlogloss:0.712515+0.021413 
## [47] train-mlogloss:0.020896+0.000610    test-mlogloss:0.715745+0.022191 
## [48] train-mlogloss:0.020431+0.000454    test-mlogloss:0.718087+0.022267 
## [49] train-mlogloss:0.020024+0.000519    test-mlogloss:0.720424+0.021832 
## [50] train-mlogloss:0.019659+0.000599    test-mlogloss:0.722295+0.022411 
## [51] train-mlogloss:0.019216+0.000592    test-mlogloss:0.724358+0.022552 
## [52] train-mlogloss:0.018833+0.000619    test-mlogloss:0.726354+0.022470 
## [53] train-mlogloss:0.018489+0.000608    test-mlogloss:0.727994+0.022891 
## [54] train-mlogloss:0.018219+0.000593    test-mlogloss:0.729592+0.022921 
## [55] train-mlogloss:0.017985+0.000585    test-mlogloss:0.730920+0.022978 
## [56] train-mlogloss:0.017677+0.000611    test-mlogloss:0.732369+0.022600 
## [57] train-mlogloss:0.017317+0.000593    test-mlogloss:0.734968+0.022991 
## [58] train-mlogloss:0.017034+0.000584    test-mlogloss:0.736669+0.023120 
## [59] train-mlogloss:0.016672+0.000571    test-mlogloss:0.738561+0.023395 
## [60] train-mlogloss:0.016393+0.000515    test-mlogloss:0.740298+0.023264 
## [61] train-mlogloss:0.016077+0.000511    test-mlogloss:0.742269+0.023019 
## [62] train-mlogloss:0.015795+0.000533    test-mlogloss:0.744722+0.023111 
## [63] train-mlogloss:0.015563+0.000487    test-mlogloss:0.745952+0.023191 
## [64] train-mlogloss:0.015325+0.000507    test-mlogloss:0.747364+0.023050 
## [65] train-mlogloss:0.015085+0.000482    test-mlogloss:0.749401+0.023480 
## [66] train-mlogloss:0.014868+0.000495    test-mlogloss:0.750986+0.023570 
## [67] train-mlogloss:0.014625+0.000454    test-mlogloss:0.752159+0.023791 
## [68] train-mlogloss:0.014423+0.000479    test-mlogloss:0.753485+0.023722 
## [69] train-mlogloss:0.014184+0.000456    test-mlogloss:0.755349+0.023564 
## [70] train-mlogloss:0.013983+0.000455    test-mlogloss:0.756748+0.023496 
## [71] train-mlogloss:0.013774+0.000456    test-mlogloss:0.758372+0.023530 
## [72] train-mlogloss:0.013593+0.000415    test-mlogloss:0.759878+0.023564 
## [73] train-mlogloss:0.013409+0.000407    test-mlogloss:0.761231+0.023837 
## [74] train-mlogloss:0.013233+0.000368    test-mlogloss:0.763050+0.024389 
## [75] train-mlogloss:0.013043+0.000357    test-mlogloss:0.764752+0.024676 
## [76] train-mlogloss:0.012887+0.000371    test-mlogloss:0.766228+0.024485 
## [77] train-mlogloss:0.012722+0.000341    test-mlogloss:0.767460+0.024827 
## [78] train-mlogloss:0.012578+0.000376    test-mlogloss:0.769088+0.025181 
## [79] train-mlogloss:0.012397+0.000390    test-mlogloss:0.770522+0.025001 
## [80] train-mlogloss:0.012277+0.000387    test-mlogloss:0.771562+0.025041 
## [81] train-mlogloss:0.012130+0.000396    test-mlogloss:0.772831+0.024582 
## [82] train-mlogloss:0.011991+0.000399    test-mlogloss:0.774206+0.024819 
## [83] train-mlogloss:0.011846+0.000402    test-mlogloss:0.775795+0.024972 
## [84] train-mlogloss:0.011704+0.000387    test-mlogloss:0.777311+0.024773 
## [85] train-mlogloss:0.011579+0.000363    test-mlogloss:0.778347+0.024947 
## [86] train-mlogloss:0.011457+0.000371    test-mlogloss:0.779570+0.024965 
## [87] train-mlogloss:0.011318+0.000358    test-mlogloss:0.781027+0.025051 
## [88] train-mlogloss:0.011188+0.000350    test-mlogloss:0.782271+0.024842 
## [89] train-mlogloss:0.011080+0.000357    test-mlogloss:0.783352+0.024595 
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## [91] train-mlogloss:0.010846+0.000367    test-mlogloss:0.785600+0.024657 
## [92] train-mlogloss:0.010741+0.000328    test-mlogloss:0.786834+0.024957 
## [93] train-mlogloss:0.010629+0.000309    test-mlogloss:0.788517+0.025019 
## [94] train-mlogloss:0.010545+0.000282    test-mlogloss:0.789565+0.024867 
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## [99] train-mlogloss:0.010003+0.000253    test-mlogloss:0.795503+0.024687 
## [100]    train-mlogloss:0.009901+0.000252    test-mlogloss:0.796824+0.025022 
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## [104]    train-mlogloss:0.009572+0.000245    test-mlogloss:0.800715+0.025772 
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## [444]    train-mlogloss:0.002693+0.000017    test-mlogloss:0.974599+0.036302 
## [445]    train-mlogloss:0.002689+0.000017    test-mlogloss:0.974831+0.036454 
## [446]    train-mlogloss:0.002684+0.000016    test-mlogloss:0.975053+0.036566 
## [447]    train-mlogloss:0.002679+0.000016    test-mlogloss:0.975426+0.036557 
## [448]    train-mlogloss:0.002675+0.000016    test-mlogloss:0.975653+0.036542 
## [449]    train-mlogloss:0.002671+0.000016    test-mlogloss:0.975897+0.036583 
## [450]    train-mlogloss:0.002666+0.000016    test-mlogloss:0.976159+0.036711 
## [451]    train-mlogloss:0.002662+0.000016    test-mlogloss:0.976295+0.036629 
## [452]    train-mlogloss:0.002658+0.000016    test-mlogloss:0.976453+0.036633 
## [453]    train-mlogloss:0.002654+0.000016    test-mlogloss:0.976723+0.036737 
## [454]    train-mlogloss:0.002649+0.000016    test-mlogloss:0.976958+0.036803 
## [455]    train-mlogloss:0.002645+0.000016    test-mlogloss:0.977251+0.036756 
## [456]    train-mlogloss:0.002642+0.000017    test-mlogloss:0.977314+0.036749 
## [457]    train-mlogloss:0.002637+0.000016    test-mlogloss:0.977510+0.036883 
## [458]    train-mlogloss:0.002634+0.000016    test-mlogloss:0.977719+0.036787 
## [459]    train-mlogloss:0.002629+0.000016    test-mlogloss:0.977971+0.036727 
## [460]    train-mlogloss:0.002626+0.000016    test-mlogloss:0.978244+0.036753 
## [461]    train-mlogloss:0.002621+0.000016    test-mlogloss:0.978547+0.036709 
## [462]    train-mlogloss:0.002618+0.000016    test-mlogloss:0.978900+0.036725 
## [463]    train-mlogloss:0.002614+0.000016    test-mlogloss:0.979195+0.036727 
## [464]    train-mlogloss:0.002610+0.000016    test-mlogloss:0.979490+0.036669 
## [465]    train-mlogloss:0.002606+0.000017    test-mlogloss:0.979484+0.036641 
## [466]    train-mlogloss:0.002602+0.000017    test-mlogloss:0.979702+0.036563 
## [467]    train-mlogloss:0.002598+0.000017    test-mlogloss:0.979974+0.036554 
## [468]    train-mlogloss:0.002594+0.000017    test-mlogloss:0.980170+0.036549 
## [469]    train-mlogloss:0.002590+0.000017    test-mlogloss:0.980503+0.036616 
## [470]    train-mlogloss:0.002587+0.000017    test-mlogloss:0.980838+0.036798 
## [471]    train-mlogloss:0.002583+0.000017    test-mlogloss:0.980969+0.037002 
## [472]    train-mlogloss:0.002579+0.000017    test-mlogloss:0.981229+0.037010 
## [473]    train-mlogloss:0.002575+0.000017    test-mlogloss:0.981295+0.037218 
## [474]    train-mlogloss:0.002571+0.000016    test-mlogloss:0.981658+0.037261 
## [475]    train-mlogloss:0.002567+0.000016    test-mlogloss:0.981945+0.037319 
## [476]    train-mlogloss:0.002563+0.000017    test-mlogloss:0.982055+0.037361 
## [477]    train-mlogloss:0.002559+0.000017    test-mlogloss:0.982342+0.037373 
## [478]    train-mlogloss:0.002555+0.000017    test-mlogloss:0.982728+0.037299 
## [479]    train-mlogloss:0.002552+0.000017    test-mlogloss:0.983052+0.037338 
## [480]    train-mlogloss:0.002548+0.000017    test-mlogloss:0.983309+0.037260 
## [481]    train-mlogloss:0.002544+0.000017    test-mlogloss:0.983508+0.037251 
## [482]    train-mlogloss:0.002540+0.000017    test-mlogloss:0.983723+0.037138 
## [483]    train-mlogloss:0.002537+0.000017    test-mlogloss:0.983892+0.037186 
## [484]    train-mlogloss:0.002533+0.000017    test-mlogloss:0.984117+0.037203 
## [485]    train-mlogloss:0.002529+0.000017    test-mlogloss:0.984347+0.037190 
## [486]    train-mlogloss:0.002525+0.000017    test-mlogloss:0.984502+0.037089 
## [487]    train-mlogloss:0.002522+0.000017    test-mlogloss:0.984746+0.037129 
## [488]    train-mlogloss:0.002518+0.000017    test-mlogloss:0.985092+0.037245 
## [489]    train-mlogloss:0.002514+0.000017    test-mlogloss:0.985380+0.037226 
## [490]    train-mlogloss:0.002510+0.000017    test-mlogloss:0.985633+0.037053 
## [491]    train-mlogloss:0.002507+0.000017    test-mlogloss:0.985774+0.037186 
## [492]    train-mlogloss:0.002503+0.000017    test-mlogloss:0.986029+0.037103 
## [493]    train-mlogloss:0.002499+0.000017    test-mlogloss:0.986074+0.037112 
## [494]    train-mlogloss:0.002495+0.000016    test-mlogloss:0.986416+0.037141 
## [495]    train-mlogloss:0.002492+0.000017    test-mlogloss:0.986749+0.037134 
## [496]    train-mlogloss:0.002488+0.000016    test-mlogloss:0.986989+0.037188 
## [497]    train-mlogloss:0.002485+0.000017    test-mlogloss:0.987183+0.037147 
## [498]    train-mlogloss:0.002481+0.000017    test-mlogloss:0.987401+0.037205 
## [499]    train-mlogloss:0.002478+0.000017    test-mlogloss:0.987665+0.037126 
## [500]    train-mlogloss:0.002475+0.000017    test-mlogloss:0.987993+0.037059 
## [1]  train-mlogloss:0.538455+0.002542    test-mlogloss:0.556558+0.006803 
## [2]  train-mlogloss:0.507248+0.002563    test-mlogloss:0.541031+0.009152 
## [3]  train-mlogloss:0.493896+0.001451    test-mlogloss:0.539527+0.009968 
## [4]  train-mlogloss:0.486069+0.002122    test-mlogloss:0.540553+0.010576 
## [5]  train-mlogloss:0.478095+0.003987    test-mlogloss:0.542226+0.011111 
## [6]  train-mlogloss:0.471589+0.003443    test-mlogloss:0.543118+0.011796 
## [7]  train-mlogloss:0.463609+0.003378    test-mlogloss:0.544983+0.012001 
## [8]  train-mlogloss:0.454494+0.004766    test-mlogloss:0.548269+0.011773 
## [9]  train-mlogloss:0.448222+0.004781    test-mlogloss:0.549901+0.011613 
## [10] train-mlogloss:0.441446+0.005495    test-mlogloss:0.552857+0.011751 
## [11] train-mlogloss:0.434639+0.006044    test-mlogloss:0.554728+0.011898 
## [12] train-mlogloss:0.426433+0.007432    test-mlogloss:0.557749+0.013871 
## [13] train-mlogloss:0.420577+0.008697    test-mlogloss:0.560534+0.013633 
## [14] train-mlogloss:0.414723+0.007778    test-mlogloss:0.561774+0.014182 
## [15] train-mlogloss:0.410300+0.006606    test-mlogloss:0.563802+0.014042 
## [16] train-mlogloss:0.406862+0.007758    test-mlogloss:0.564909+0.014014 
## [17] train-mlogloss:0.402625+0.008808    test-mlogloss:0.565814+0.014879 
## [18] train-mlogloss:0.398046+0.008587    test-mlogloss:0.567473+0.014557 
## [19] train-mlogloss:0.391329+0.009413    test-mlogloss:0.569877+0.014224 
## [20] train-mlogloss:0.385875+0.009353    test-mlogloss:0.572611+0.014007 
## [21] train-mlogloss:0.381561+0.009043    test-mlogloss:0.573775+0.013637 
## [22] train-mlogloss:0.376444+0.009412    test-mlogloss:0.576004+0.014390 
## [23] train-mlogloss:0.371046+0.007955    test-mlogloss:0.578869+0.013454 
## [24] train-mlogloss:0.365848+0.008030    test-mlogloss:0.580784+0.013639 
## [25] train-mlogloss:0.360871+0.008027    test-mlogloss:0.581595+0.013317 
## [26] train-mlogloss:0.355469+0.007135    test-mlogloss:0.584046+0.012935 
## [27] train-mlogloss:0.350672+0.008001    test-mlogloss:0.584894+0.013646 
## [28] train-mlogloss:0.346527+0.008994    test-mlogloss:0.585870+0.014096 
## [29] train-mlogloss:0.341722+0.009370    test-mlogloss:0.588217+0.014932 
## [30] train-mlogloss:0.337726+0.008388    test-mlogloss:0.591135+0.012713 
## [31] train-mlogloss:0.333704+0.008050    test-mlogloss:0.591998+0.013761 
## [32] train-mlogloss:0.328227+0.009132    test-mlogloss:0.594681+0.013409 
## [33] train-mlogloss:0.324167+0.008362    test-mlogloss:0.594689+0.014212 
## [34] train-mlogloss:0.317286+0.008546    test-mlogloss:0.597074+0.013645 
## [35] train-mlogloss:0.312251+0.007314    test-mlogloss:0.597714+0.013111 
## [36] train-mlogloss:0.307844+0.006495    test-mlogloss:0.598400+0.013038 
## [37] train-mlogloss:0.303561+0.006088    test-mlogloss:0.600852+0.014155 
## [38] train-mlogloss:0.299634+0.005330    test-mlogloss:0.602415+0.014357 
## [39] train-mlogloss:0.295138+0.004737    test-mlogloss:0.603620+0.013971 
## [40] train-mlogloss:0.291308+0.004574    test-mlogloss:0.605963+0.013704 
## [41] train-mlogloss:0.287428+0.005131    test-mlogloss:0.607884+0.014868 
## [42] train-mlogloss:0.283283+0.005327    test-mlogloss:0.610082+0.015112 
## [43] train-mlogloss:0.279868+0.004607    test-mlogloss:0.612105+0.014021 
## [44] train-mlogloss:0.274837+0.003615    test-mlogloss:0.614313+0.014016 
## [45] train-mlogloss:0.270883+0.004483    test-mlogloss:0.615055+0.013798 
## [46] train-mlogloss:0.267288+0.004115    test-mlogloss:0.616154+0.012661 
## [47] train-mlogloss:0.263270+0.004042    test-mlogloss:0.617647+0.013105 
## [48] train-mlogloss:0.260200+0.004106    test-mlogloss:0.618835+0.013129 
## [49] train-mlogloss:0.257142+0.004915    test-mlogloss:0.620518+0.012977 
## [50] train-mlogloss:0.252252+0.005005    test-mlogloss:0.622396+0.011905 
## [51] train-mlogloss:0.247868+0.004876    test-mlogloss:0.624793+0.011551 
## [52] train-mlogloss:0.244775+0.004732    test-mlogloss:0.625801+0.010095 
## [53] train-mlogloss:0.240890+0.004636    test-mlogloss:0.627991+0.010635 
## [54] train-mlogloss:0.237832+0.004851    test-mlogloss:0.629539+0.011360 
## [55] train-mlogloss:0.235184+0.004309    test-mlogloss:0.631052+0.011011 
## [56] train-mlogloss:0.231334+0.003842    test-mlogloss:0.632896+0.011615 
## [57] train-mlogloss:0.227506+0.003462    test-mlogloss:0.634576+0.010373 
## [58] train-mlogloss:0.224406+0.004236    test-mlogloss:0.635141+0.011088 
## [59] train-mlogloss:0.221438+0.005040    test-mlogloss:0.636293+0.011191 
## [60] train-mlogloss:0.217376+0.005559    test-mlogloss:0.638791+0.009936 
## [61] train-mlogloss:0.214030+0.005522    test-mlogloss:0.640843+0.008827 
## [62] train-mlogloss:0.211296+0.006329    test-mlogloss:0.641985+0.008993 
## [63] train-mlogloss:0.208739+0.006012    test-mlogloss:0.643243+0.009006 
## [64] train-mlogloss:0.205707+0.006237    test-mlogloss:0.645198+0.009187 
## [65] train-mlogloss:0.201888+0.006393    test-mlogloss:0.648410+0.010260 
## [66] train-mlogloss:0.198655+0.007068    test-mlogloss:0.650207+0.011243 
## [67] train-mlogloss:0.195225+0.007351    test-mlogloss:0.650935+0.012678 
## [68] train-mlogloss:0.192247+0.006483    test-mlogloss:0.653660+0.012646 
## [69] train-mlogloss:0.190159+0.006605    test-mlogloss:0.655819+0.012019 
## [70] train-mlogloss:0.187857+0.006736    test-mlogloss:0.657841+0.012201 
## [71] train-mlogloss:0.184914+0.007099    test-mlogloss:0.659257+0.012268 
## [72] train-mlogloss:0.182549+0.007820    test-mlogloss:0.661069+0.012876 
## [73] train-mlogloss:0.179988+0.007798    test-mlogloss:0.662347+0.013052 
## [74] train-mlogloss:0.177515+0.007739    test-mlogloss:0.664900+0.013767 
## [75] train-mlogloss:0.175666+0.007745    test-mlogloss:0.666498+0.013934 
## [76] train-mlogloss:0.173443+0.007495    test-mlogloss:0.667647+0.012742 
## [77] train-mlogloss:0.171184+0.008160    test-mlogloss:0.669087+0.011513 
## [78] train-mlogloss:0.167922+0.007795    test-mlogloss:0.670766+0.011341 
## [79] train-mlogloss:0.165073+0.007825    test-mlogloss:0.672007+0.011594 
## [80] train-mlogloss:0.162481+0.007177    test-mlogloss:0.672863+0.011779 
## [81] train-mlogloss:0.160155+0.006611    test-mlogloss:0.674043+0.011528 
## [82] train-mlogloss:0.158414+0.005965    test-mlogloss:0.674824+0.011130 
## [83] train-mlogloss:0.155927+0.006075    test-mlogloss:0.676926+0.011038 
## [84] train-mlogloss:0.153507+0.005962    test-mlogloss:0.677992+0.011961 
## [85] train-mlogloss:0.151650+0.005800    test-mlogloss:0.678484+0.011416 
## [86] train-mlogloss:0.149847+0.005265    test-mlogloss:0.679120+0.010655 
## [87] train-mlogloss:0.147888+0.005284    test-mlogloss:0.680139+0.011178 
## [88] train-mlogloss:0.146389+0.005142    test-mlogloss:0.682437+0.012571 
## [89] train-mlogloss:0.144769+0.005598    test-mlogloss:0.684440+0.012007 
## [90] train-mlogloss:0.143006+0.005194    test-mlogloss:0.686190+0.012259 
## [91] train-mlogloss:0.140428+0.005223    test-mlogloss:0.687750+0.013534 
## [92] train-mlogloss:0.138936+0.005421    test-mlogloss:0.689126+0.014711 
## [93] train-mlogloss:0.137014+0.005273    test-mlogloss:0.690860+0.014406 
## [94] train-mlogloss:0.134633+0.005136    test-mlogloss:0.692440+0.014590 
## [95] train-mlogloss:0.133269+0.004757    test-mlogloss:0.693955+0.015113 
## [96] train-mlogloss:0.132096+0.005161    test-mlogloss:0.695226+0.015649 
## [97] train-mlogloss:0.130538+0.005233    test-mlogloss:0.695777+0.015139 
## [98] train-mlogloss:0.128891+0.005427    test-mlogloss:0.697490+0.015212 
## [99] train-mlogloss:0.126426+0.004968    test-mlogloss:0.699475+0.014361 
## [100]    train-mlogloss:0.124227+0.004561    test-mlogloss:0.700022+0.013988 
## [101]    train-mlogloss:0.122490+0.004744    test-mlogloss:0.701617+0.014951 
## [102]    train-mlogloss:0.121040+0.004478    test-mlogloss:0.703388+0.015802 
## [103]    train-mlogloss:0.119305+0.004123    test-mlogloss:0.705719+0.015408 
## [104]    train-mlogloss:0.117927+0.003817    test-mlogloss:0.706943+0.014981 
## [105]    train-mlogloss:0.116095+0.003377    test-mlogloss:0.708031+0.015379 
## [106]    train-mlogloss:0.114596+0.003245    test-mlogloss:0.709958+0.014751 
## [107]    train-mlogloss:0.113176+0.003360    test-mlogloss:0.710679+0.015129 
## [108]    train-mlogloss:0.111844+0.003608    test-mlogloss:0.711734+0.015611 
## [109]    train-mlogloss:0.110483+0.004014    test-mlogloss:0.712128+0.016143 
## [110]    train-mlogloss:0.108868+0.003852    test-mlogloss:0.714713+0.016486 
## [111]    train-mlogloss:0.107479+0.003780    test-mlogloss:0.715268+0.016682 
## [112]    train-mlogloss:0.105877+0.003748    test-mlogloss:0.718261+0.017412 
## [113]    train-mlogloss:0.104753+0.003782    test-mlogloss:0.720032+0.017618 
## [114]    train-mlogloss:0.103534+0.003865    test-mlogloss:0.721928+0.017270 
## [115]    train-mlogloss:0.102632+0.003501    test-mlogloss:0.722355+0.016892 
## [116]    train-mlogloss:0.100809+0.003698    test-mlogloss:0.724446+0.017293 
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## [118]    train-mlogloss:0.098146+0.003852    test-mlogloss:0.727418+0.016650 
## [119]    train-mlogloss:0.096922+0.003944    test-mlogloss:0.728619+0.017174 
## [120]    train-mlogloss:0.096055+0.003909    test-mlogloss:0.729868+0.016634 
## [121]    train-mlogloss:0.095060+0.004216    test-mlogloss:0.730912+0.016245 
## [122]    train-mlogloss:0.094323+0.004071    test-mlogloss:0.732247+0.016559 
## [123]    train-mlogloss:0.093196+0.004046    test-mlogloss:0.733987+0.015612 
## [124]    train-mlogloss:0.092066+0.003696    test-mlogloss:0.735113+0.014667 
## [125]    train-mlogloss:0.090847+0.003203    test-mlogloss:0.735739+0.014790 
## [126]    train-mlogloss:0.090008+0.003106    test-mlogloss:0.736036+0.014748 
## [127]    train-mlogloss:0.089028+0.003020    test-mlogloss:0.737484+0.015629 
## [128]    train-mlogloss:0.088111+0.003342    test-mlogloss:0.737698+0.014914 
## [129]    train-mlogloss:0.087270+0.003759    test-mlogloss:0.739346+0.016698 
## [130]    train-mlogloss:0.086547+0.003778    test-mlogloss:0.740635+0.017464 
## [131]    train-mlogloss:0.085628+0.003671    test-mlogloss:0.741684+0.017712 
## [132]    train-mlogloss:0.084329+0.003718    test-mlogloss:0.744077+0.017825 
## [133]    train-mlogloss:0.083474+0.003510    test-mlogloss:0.745490+0.017877 
## [134]    train-mlogloss:0.082153+0.003557    test-mlogloss:0.746481+0.017178 
## [135]    train-mlogloss:0.080789+0.003410    test-mlogloss:0.747125+0.018403 
## [136]    train-mlogloss:0.079869+0.003389    test-mlogloss:0.748027+0.017682 
## [137]    train-mlogloss:0.078800+0.003228    test-mlogloss:0.750293+0.017078 
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## [139]    train-mlogloss:0.077021+0.003258    test-mlogloss:0.753517+0.017603 
## [140]    train-mlogloss:0.076223+0.003436    test-mlogloss:0.753789+0.018049 
## [141]    train-mlogloss:0.075673+0.003350    test-mlogloss:0.755078+0.018187 
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## [143]    train-mlogloss:0.074040+0.002999    test-mlogloss:0.757950+0.017973 
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## [146]    train-mlogloss:0.071825+0.003435    test-mlogloss:0.760988+0.018505 
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## [396]    train-mlogloss:0.009593+0.000374    test-mlogloss:0.997932+0.034195 
## [397]    train-mlogloss:0.009536+0.000364    test-mlogloss:0.999298+0.034288 
## [398]    train-mlogloss:0.009497+0.000365    test-mlogloss:1.000140+0.033725 
## [399]    train-mlogloss:0.009451+0.000351    test-mlogloss:1.000855+0.033426 
## [400]    train-mlogloss:0.009404+0.000337    test-mlogloss:1.001227+0.033207 
## [401]    train-mlogloss:0.009363+0.000339    test-mlogloss:1.001808+0.033169 
## [402]    train-mlogloss:0.009320+0.000333    test-mlogloss:1.002413+0.033276 
## [403]    train-mlogloss:0.009271+0.000321    test-mlogloss:1.003184+0.033659 
## [404]    train-mlogloss:0.009218+0.000310    test-mlogloss:1.004157+0.033719 
## [405]    train-mlogloss:0.009163+0.000304    test-mlogloss:1.004587+0.033890 
## [406]    train-mlogloss:0.009137+0.000308    test-mlogloss:1.005146+0.033925 
## [407]    train-mlogloss:0.009106+0.000306    test-mlogloss:1.005546+0.033910 
## [408]    train-mlogloss:0.009061+0.000296    test-mlogloss:1.005771+0.033962 
## [409]    train-mlogloss:0.009021+0.000303    test-mlogloss:1.006412+0.034264 
## [410]    train-mlogloss:0.008993+0.000315    test-mlogloss:1.007236+0.034914 
## [411]    train-mlogloss:0.008961+0.000319    test-mlogloss:1.007500+0.035067 
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## [413]    train-mlogloss:0.008896+0.000335    test-mlogloss:1.008508+0.034983 
## [414]    train-mlogloss:0.008856+0.000347    test-mlogloss:1.009195+0.035432 
## [415]    train-mlogloss:0.008826+0.000342    test-mlogloss:1.009757+0.035569 
## [416]    train-mlogloss:0.008773+0.000353    test-mlogloss:1.010550+0.035837 
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## [420]    train-mlogloss:0.008604+0.000372    test-mlogloss:1.013211+0.035413 
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## [423]    train-mlogloss:0.008494+0.000372    test-mlogloss:1.015593+0.034300 
## [424]    train-mlogloss:0.008442+0.000374    test-mlogloss:1.016206+0.034359 
## [425]    train-mlogloss:0.008392+0.000373    test-mlogloss:1.017119+0.034003 
## [426]    train-mlogloss:0.008366+0.000363    test-mlogloss:1.017700+0.033956 
## [427]    train-mlogloss:0.008335+0.000360    test-mlogloss:1.018300+0.033778 
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## [429]    train-mlogloss:0.008254+0.000390    test-mlogloss:1.019579+0.034416 
## [430]    train-mlogloss:0.008217+0.000387    test-mlogloss:1.019989+0.034509 
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## [433]    train-mlogloss:0.008130+0.000372    test-mlogloss:1.021896+0.034453 
## [434]    train-mlogloss:0.008096+0.000369    test-mlogloss:1.023007+0.034653 
## [435]    train-mlogloss:0.008064+0.000361    test-mlogloss:1.023630+0.034627 
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## [437]    train-mlogloss:0.008016+0.000369    test-mlogloss:1.024468+0.034685 
## [438]    train-mlogloss:0.007998+0.000364    test-mlogloss:1.024871+0.034486 
## [439]    train-mlogloss:0.007970+0.000366    test-mlogloss:1.025272+0.034528 
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## [442]    train-mlogloss:0.007890+0.000369    test-mlogloss:1.027602+0.034580 
## [443]    train-mlogloss:0.007862+0.000372    test-mlogloss:1.028059+0.034746 
## [444]    train-mlogloss:0.007822+0.000366    test-mlogloss:1.028164+0.035224 
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## [446]    train-mlogloss:0.007761+0.000340    test-mlogloss:1.029383+0.034881 
## [447]    train-mlogloss:0.007734+0.000342    test-mlogloss:1.030506+0.034826 
## [448]    train-mlogloss:0.007700+0.000348    test-mlogloss:1.030869+0.035246 
## [449]    train-mlogloss:0.007659+0.000339    test-mlogloss:1.031954+0.036019 
## [450]    train-mlogloss:0.007633+0.000335    test-mlogloss:1.032348+0.036260 
## [451]    train-mlogloss:0.007608+0.000333    test-mlogloss:1.032913+0.036345 
## [452]    train-mlogloss:0.007572+0.000338    test-mlogloss:1.032815+0.036312 
## [453]    train-mlogloss:0.007530+0.000332    test-mlogloss:1.033863+0.036339 
## [454]    train-mlogloss:0.007504+0.000326    test-mlogloss:1.034298+0.036619 
## [455]    train-mlogloss:0.007466+0.000323    test-mlogloss:1.034459+0.036687 
## [456]    train-mlogloss:0.007423+0.000318    test-mlogloss:1.035750+0.036923 
## [457]    train-mlogloss:0.007401+0.000323    test-mlogloss:1.036363+0.036860 
## [458]    train-mlogloss:0.007363+0.000311    test-mlogloss:1.037120+0.037036 
## [459]    train-mlogloss:0.007325+0.000300    test-mlogloss:1.037905+0.036614 
## [460]    train-mlogloss:0.007296+0.000297    test-mlogloss:1.038797+0.036453 
## [461]    train-mlogloss:0.007272+0.000292    test-mlogloss:1.039464+0.036547 
## [462]    train-mlogloss:0.007233+0.000294    test-mlogloss:1.040062+0.036427 
## [463]    train-mlogloss:0.007218+0.000292    test-mlogloss:1.040556+0.036438 
## [464]    train-mlogloss:0.007196+0.000292    test-mlogloss:1.040859+0.036241 
## [465]    train-mlogloss:0.007163+0.000291    test-mlogloss:1.041279+0.037052 
## [466]    train-mlogloss:0.007141+0.000290    test-mlogloss:1.041727+0.037075 
## [467]    train-mlogloss:0.007117+0.000286    test-mlogloss:1.042252+0.037170 
## [468]    train-mlogloss:0.007090+0.000288    test-mlogloss:1.043414+0.036748 
## [469]    train-mlogloss:0.007071+0.000288    test-mlogloss:1.043781+0.036458 
## [470]    train-mlogloss:0.007040+0.000284    test-mlogloss:1.044392+0.036772 
## [471]    train-mlogloss:0.007013+0.000281    test-mlogloss:1.045397+0.037233 
## [472]    train-mlogloss:0.006974+0.000274    test-mlogloss:1.046185+0.037197 
## [473]    train-mlogloss:0.006949+0.000272    test-mlogloss:1.046831+0.037085 
## [474]    train-mlogloss:0.006917+0.000275    test-mlogloss:1.047779+0.037272 
## [475]    train-mlogloss:0.006899+0.000268    test-mlogloss:1.047819+0.037387 
## [476]    train-mlogloss:0.006879+0.000263    test-mlogloss:1.048356+0.037488 
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## [478]    train-mlogloss:0.006837+0.000259    test-mlogloss:1.049725+0.037587 
## [479]    train-mlogloss:0.006803+0.000254    test-mlogloss:1.050271+0.037288 
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## [481]    train-mlogloss:0.006748+0.000259    test-mlogloss:1.050982+0.037475 
## [482]    train-mlogloss:0.006716+0.000246    test-mlogloss:1.051784+0.037693 
## [483]    train-mlogloss:0.006695+0.000241    test-mlogloss:1.052585+0.037611 
## [484]    train-mlogloss:0.006671+0.000235    test-mlogloss:1.053474+0.037469 
## [485]    train-mlogloss:0.006640+0.000243    test-mlogloss:1.054263+0.037449 
## [486]    train-mlogloss:0.006617+0.000246    test-mlogloss:1.054023+0.037236 
## [487]    train-mlogloss:0.006589+0.000243    test-mlogloss:1.054883+0.037442 
## [488]    train-mlogloss:0.006574+0.000249    test-mlogloss:1.055271+0.037743 
## [489]    train-mlogloss:0.006549+0.000244    test-mlogloss:1.055303+0.037598 
## [490]    train-mlogloss:0.006528+0.000239    test-mlogloss:1.055740+0.037747 
## [491]    train-mlogloss:0.006502+0.000237    test-mlogloss:1.056315+0.037901 
## [492]    train-mlogloss:0.006473+0.000244    test-mlogloss:1.057022+0.037996 
## [493]    train-mlogloss:0.006454+0.000245    test-mlogloss:1.057804+0.037935 
## [494]    train-mlogloss:0.006440+0.000247    test-mlogloss:1.057993+0.038023 
## [495]    train-mlogloss:0.006422+0.000244    test-mlogloss:1.058245+0.037915 
## [496]    train-mlogloss:0.006405+0.000241    test-mlogloss:1.058553+0.037773 
## [497]    train-mlogloss:0.006388+0.000238    test-mlogloss:1.058891+0.037734 
## [498]    train-mlogloss:0.006365+0.000238    test-mlogloss:1.059252+0.037728 
## [499]    train-mlogloss:0.006337+0.000228    test-mlogloss:1.060048+0.037616 
## [500]    train-mlogloss:0.006316+0.000227    test-mlogloss:1.060362+0.037688 
## [1]  train-mlogloss:0.314672+0.003959    test-mlogloss:0.607642+0.013053 
## [2]  train-mlogloss:0.186729+0.002877    test-mlogloss:0.609427+0.019459 
## [3]  train-mlogloss:0.123592+0.001776    test-mlogloss:0.623874+0.020382 
## [4]  train-mlogloss:0.089893+0.002096    test-mlogloss:0.640769+0.024567 
## [5]  train-mlogloss:0.070716+0.001255    test-mlogloss:0.659204+0.022296 
## [6]  train-mlogloss:0.058427+0.000820    test-mlogloss:0.670982+0.021617 
## [7]  train-mlogloss:0.050036+0.001790    test-mlogloss:0.681459+0.022107 
## [8]  train-mlogloss:0.043587+0.002593    test-mlogloss:0.692581+0.025328 
## [9]  train-mlogloss:0.039073+0.002871    test-mlogloss:0.703364+0.024399 
## [10] train-mlogloss:0.035713+0.002712    test-mlogloss:0.712510+0.024071 
## [11] train-mlogloss:0.032832+0.002710    test-mlogloss:0.721562+0.025033 
## [12] train-mlogloss:0.030531+0.002143    test-mlogloss:0.727338+0.024943 
## [13] train-mlogloss:0.027638+0.001757    test-mlogloss:0.737452+0.024992 
## [14] train-mlogloss:0.025613+0.001376    test-mlogloss:0.743511+0.025793 
## [15] train-mlogloss:0.023519+0.001016    test-mlogloss:0.753746+0.026334 
## [16] train-mlogloss:0.021723+0.000941    test-mlogloss:0.760431+0.026844 
## [17] train-mlogloss:0.020373+0.000847    test-mlogloss:0.767744+0.027728 
## [18] train-mlogloss:0.018989+0.000780    test-mlogloss:0.773951+0.029552 
## [19] train-mlogloss:0.017824+0.000705    test-mlogloss:0.779863+0.029775 
## [20] train-mlogloss:0.016833+0.000690    test-mlogloss:0.786013+0.028663 
## [21] train-mlogloss:0.015906+0.000656    test-mlogloss:0.792497+0.028192 
## [22] train-mlogloss:0.015022+0.000566    test-mlogloss:0.797742+0.027601 
## [23] train-mlogloss:0.014388+0.000535    test-mlogloss:0.802579+0.027135 
## [24] train-mlogloss:0.013739+0.000494    test-mlogloss:0.807972+0.027724 
## [25] train-mlogloss:0.013178+0.000398    test-mlogloss:0.811968+0.027691 
## [26] train-mlogloss:0.012670+0.000392    test-mlogloss:0.815714+0.027665 
## [27] train-mlogloss:0.012200+0.000362    test-mlogloss:0.820556+0.027898 
## [28] train-mlogloss:0.011800+0.000387    test-mlogloss:0.824336+0.028163 
## [29] train-mlogloss:0.011433+0.000406    test-mlogloss:0.828520+0.028472 
## [30] train-mlogloss:0.011047+0.000384    test-mlogloss:0.832444+0.028305 
## [31] train-mlogloss:0.010666+0.000353    test-mlogloss:0.836598+0.028823 
## [32] train-mlogloss:0.010327+0.000335    test-mlogloss:0.840344+0.029782 
## [33] train-mlogloss:0.010019+0.000298    test-mlogloss:0.845190+0.029555 
## [34] train-mlogloss:0.009697+0.000265    test-mlogloss:0.849290+0.029553 
## [35] train-mlogloss:0.009439+0.000267    test-mlogloss:0.852034+0.030307 
## [36] train-mlogloss:0.009187+0.000243    test-mlogloss:0.855208+0.030819 
## [37] train-mlogloss:0.008962+0.000254    test-mlogloss:0.857776+0.030948 
## [38] train-mlogloss:0.008723+0.000244    test-mlogloss:0.861266+0.031308 
## [39] train-mlogloss:0.008538+0.000252    test-mlogloss:0.863942+0.031471 
## [40] train-mlogloss:0.008325+0.000250    test-mlogloss:0.867340+0.031428 
## [41] train-mlogloss:0.008141+0.000253    test-mlogloss:0.870005+0.031376 
## [42] train-mlogloss:0.007972+0.000244    test-mlogloss:0.872364+0.031756 
## [43] train-mlogloss:0.007791+0.000236    test-mlogloss:0.874407+0.032692 
## [44] train-mlogloss:0.007620+0.000232    test-mlogloss:0.876778+0.032817 
## [45] train-mlogloss:0.007456+0.000227    test-mlogloss:0.879174+0.032859 
## [46] train-mlogloss:0.007292+0.000214    test-mlogloss:0.882407+0.032667 
## [47] train-mlogloss:0.007144+0.000205    test-mlogloss:0.885598+0.032837 
## [48] train-mlogloss:0.007015+0.000213    test-mlogloss:0.887731+0.032956 
## [49] train-mlogloss:0.006876+0.000194    test-mlogloss:0.889779+0.032542 
## [50] train-mlogloss:0.006743+0.000187    test-mlogloss:0.891713+0.032591 
## [51] train-mlogloss:0.006622+0.000184    test-mlogloss:0.893532+0.032476 
## [52] train-mlogloss:0.006504+0.000176    test-mlogloss:0.895975+0.033005 
## [53] train-mlogloss:0.006381+0.000162    test-mlogloss:0.898016+0.033851 
## [54] train-mlogloss:0.006275+0.000161    test-mlogloss:0.900418+0.033803 
## [55] train-mlogloss:0.006172+0.000162    test-mlogloss:0.902434+0.033885 
## [56] train-mlogloss:0.006075+0.000157    test-mlogloss:0.904797+0.033871 
## [57] train-mlogloss:0.005978+0.000152    test-mlogloss:0.907252+0.033996 
## [58] train-mlogloss:0.005885+0.000150    test-mlogloss:0.909678+0.033691 
## [59] train-mlogloss:0.005794+0.000141    test-mlogloss:0.911574+0.034205 
## [60] train-mlogloss:0.005706+0.000139    test-mlogloss:0.913377+0.034471 
## [61] train-mlogloss:0.005620+0.000139    test-mlogloss:0.915482+0.034271 
## [62] train-mlogloss:0.005537+0.000135    test-mlogloss:0.917647+0.034417 
## [63] train-mlogloss:0.005458+0.000129    test-mlogloss:0.919564+0.034866 
## [64] train-mlogloss:0.005381+0.000120    test-mlogloss:0.921486+0.034667 
## [65] train-mlogloss:0.005306+0.000117    test-mlogloss:0.923880+0.034719 
## [66] train-mlogloss:0.005237+0.000113    test-mlogloss:0.925087+0.035133 
## [67] train-mlogloss:0.005169+0.000109    test-mlogloss:0.926360+0.035051 
## [68] train-mlogloss:0.005100+0.000107    test-mlogloss:0.928067+0.035259 
## [69] train-mlogloss:0.005032+0.000109    test-mlogloss:0.929970+0.035666 
## [70] train-mlogloss:0.004973+0.000104    test-mlogloss:0.931123+0.035800 
## [71] train-mlogloss:0.004914+0.000102    test-mlogloss:0.932836+0.036233 
## [72] train-mlogloss:0.004851+0.000097    test-mlogloss:0.934262+0.035942 
## [73] train-mlogloss:0.004794+0.000095    test-mlogloss:0.935774+0.035897 
## [74] train-mlogloss:0.004739+0.000094    test-mlogloss:0.937180+0.035438 
## [75] train-mlogloss:0.004687+0.000096    test-mlogloss:0.938530+0.035552 
## [76] train-mlogloss:0.004636+0.000094    test-mlogloss:0.939568+0.035509 
## [77] train-mlogloss:0.004587+0.000093    test-mlogloss:0.941429+0.035739 
## [78] train-mlogloss:0.004535+0.000092    test-mlogloss:0.942452+0.036029 
## [79] train-mlogloss:0.004489+0.000090    test-mlogloss:0.943910+0.036153 
## [80] train-mlogloss:0.004447+0.000087    test-mlogloss:0.945745+0.036470 
## [81] train-mlogloss:0.004401+0.000085    test-mlogloss:0.947454+0.036293 
## [82] train-mlogloss:0.004363+0.000085    test-mlogloss:0.948505+0.036883 
## [83] train-mlogloss:0.004324+0.000084    test-mlogloss:0.949971+0.037189 
## [84] train-mlogloss:0.004279+0.000082    test-mlogloss:0.951131+0.037340 
## [85] train-mlogloss:0.004239+0.000082    test-mlogloss:0.952482+0.037313 
## [86] train-mlogloss:0.004197+0.000081    test-mlogloss:0.953813+0.036911 
## [87] train-mlogloss:0.004157+0.000080    test-mlogloss:0.955308+0.036585 
## [88] train-mlogloss:0.004118+0.000076    test-mlogloss:0.956273+0.036609 
## [89] train-mlogloss:0.004079+0.000075    test-mlogloss:0.957850+0.037165 
## [90] train-mlogloss:0.004041+0.000071    test-mlogloss:0.959610+0.036856 
## [91] train-mlogloss:0.004007+0.000070    test-mlogloss:0.961061+0.036861 
## [92] train-mlogloss:0.003974+0.000068    test-mlogloss:0.962016+0.036349 
## [93] train-mlogloss:0.003941+0.000068    test-mlogloss:0.962872+0.036185 
## [94] train-mlogloss:0.003910+0.000068    test-mlogloss:0.964293+0.036758 
## [95] train-mlogloss:0.003878+0.000065    test-mlogloss:0.964776+0.036744 
## [96] train-mlogloss:0.003844+0.000065    test-mlogloss:0.965786+0.036950 
## [97] train-mlogloss:0.003814+0.000063    test-mlogloss:0.967144+0.036721 
## [98] train-mlogloss:0.003783+0.000062    test-mlogloss:0.968835+0.036828 
## [99] train-mlogloss:0.003752+0.000059    test-mlogloss:0.969873+0.037107 
## [100]    train-mlogloss:0.003722+0.000058    test-mlogloss:0.971224+0.037146 
## [101]    train-mlogloss:0.003694+0.000058    test-mlogloss:0.972232+0.037108 
## [102]    train-mlogloss:0.003668+0.000058    test-mlogloss:0.973346+0.037654 
## [103]    train-mlogloss:0.003642+0.000058    test-mlogloss:0.974545+0.037821 
## [104]    train-mlogloss:0.003615+0.000058    test-mlogloss:0.975643+0.038519 
## [105]    train-mlogloss:0.003589+0.000058    test-mlogloss:0.976254+0.038155 
## [106]    train-mlogloss:0.003561+0.000057    test-mlogloss:0.976694+0.038352 
## [107]    train-mlogloss:0.003535+0.000055    test-mlogloss:0.978127+0.038256 
## [108]    train-mlogloss:0.003511+0.000055    test-mlogloss:0.978510+0.038520 
## [109]    train-mlogloss:0.003485+0.000051    test-mlogloss:0.979676+0.038632 
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## [112]    train-mlogloss:0.003412+0.000050    test-mlogloss:0.983306+0.039386 
## [113]    train-mlogloss:0.003387+0.000048    test-mlogloss:0.984657+0.039171 
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## [133]    train-mlogloss:0.002997+0.000031    test-mlogloss:1.000140+0.038013 
## [134]    train-mlogloss:0.002981+0.000030    test-mlogloss:1.000867+0.038019 
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## [477]    train-mlogloss:0.001324+0.000010    test-mlogloss:1.133888+0.044818 
## [478]    train-mlogloss:0.001322+0.000009    test-mlogloss:1.133974+0.044719 
## [479]    train-mlogloss:0.001321+0.000009    test-mlogloss:1.134339+0.044799 
## [480]    train-mlogloss:0.001319+0.000009    test-mlogloss:1.134475+0.044418 
## [481]    train-mlogloss:0.001318+0.000010    test-mlogloss:1.134746+0.044488 
## [482]    train-mlogloss:0.001316+0.000009    test-mlogloss:1.134823+0.044449 
## [483]    train-mlogloss:0.001314+0.000010    test-mlogloss:1.135184+0.044488 
## [484]    train-mlogloss:0.001313+0.000010    test-mlogloss:1.135132+0.044738 
## [485]    train-mlogloss:0.001312+0.000010    test-mlogloss:1.135370+0.044542 
## [486]    train-mlogloss:0.001310+0.000010    test-mlogloss:1.135642+0.044510 
## [487]    train-mlogloss:0.001309+0.000010    test-mlogloss:1.136045+0.044526 
## [488]    train-mlogloss:0.001307+0.000010    test-mlogloss:1.136364+0.044416 
## [489]    train-mlogloss:0.001306+0.000010    test-mlogloss:1.136423+0.044481 
## [490]    train-mlogloss:0.001304+0.000010    test-mlogloss:1.136744+0.044555 
## [491]    train-mlogloss:0.001303+0.000010    test-mlogloss:1.137018+0.044592 
## [492]    train-mlogloss:0.001301+0.000010    test-mlogloss:1.137212+0.044428 
## [493]    train-mlogloss:0.001300+0.000010    test-mlogloss:1.137360+0.044499 
## [494]    train-mlogloss:0.001298+0.000010    test-mlogloss:1.137582+0.044423 
## [495]    train-mlogloss:0.001297+0.000010    test-mlogloss:1.137907+0.044390 
## [496]    train-mlogloss:0.001295+0.000010    test-mlogloss:1.138135+0.044604 
## [497]    train-mlogloss:0.001294+0.000010    test-mlogloss:1.138141+0.044499 
## [498]    train-mlogloss:0.001292+0.000010    test-mlogloss:1.138281+0.044255 
## [499]    train-mlogloss:0.001291+0.000010    test-mlogloss:1.138486+0.044155 
## [500]    train-mlogloss:0.001289+0.000010    test-mlogloss:1.138740+0.044536 
## [1]  train-mlogloss:0.522794+0.001543    test-mlogloss:0.548039+0.004844 
## [2]  train-mlogloss:0.500140+0.001645    test-mlogloss:0.544545+0.007536 
## [3]  train-mlogloss:0.490632+0.003059    test-mlogloss:0.547735+0.006806 
## [4]  train-mlogloss:0.479691+0.004797    test-mlogloss:0.551601+0.007767 
## [5]  train-mlogloss:0.470306+0.004000    test-mlogloss:0.558731+0.005919 
## [6]  train-mlogloss:0.462287+0.001777    test-mlogloss:0.561763+0.007264 
## [7]  train-mlogloss:0.453741+0.005650    test-mlogloss:0.565762+0.010543 
## [8]  train-mlogloss:0.445286+0.005302    test-mlogloss:0.569149+0.009587 
## [9]  train-mlogloss:0.433780+0.004757    test-mlogloss:0.573960+0.011295 
## [10] train-mlogloss:0.426831+0.004558    test-mlogloss:0.575930+0.010715 
## [11] train-mlogloss:0.419786+0.005297    test-mlogloss:0.578016+0.013192 
## [12] train-mlogloss:0.412703+0.006143    test-mlogloss:0.581348+0.011215 
## [13] train-mlogloss:0.406743+0.005445    test-mlogloss:0.583303+0.009130 
## [14] train-mlogloss:0.400932+0.006559    test-mlogloss:0.585812+0.009729 
## [15] train-mlogloss:0.393973+0.008176    test-mlogloss:0.588374+0.009617 
## [16] train-mlogloss:0.387007+0.009386    test-mlogloss:0.590115+0.010339 
## [17] train-mlogloss:0.380327+0.008784    test-mlogloss:0.593320+0.010260 
## [18] train-mlogloss:0.373821+0.009162    test-mlogloss:0.597663+0.011079 
## [19] train-mlogloss:0.365727+0.009106    test-mlogloss:0.599486+0.010867 
## [20] train-mlogloss:0.359174+0.010114    test-mlogloss:0.602036+0.009866 
## [21] train-mlogloss:0.353589+0.009777    test-mlogloss:0.604906+0.010465 
## [22] train-mlogloss:0.345668+0.009789    test-mlogloss:0.608650+0.010476 
## [23] train-mlogloss:0.338796+0.009605    test-mlogloss:0.611020+0.008687 
## [24] train-mlogloss:0.331396+0.008709    test-mlogloss:0.613941+0.007146 
## [25] train-mlogloss:0.325089+0.007590    test-mlogloss:0.618848+0.007151 
## [26] train-mlogloss:0.319859+0.008491    test-mlogloss:0.622495+0.008001 
## [27] train-mlogloss:0.316103+0.006403    test-mlogloss:0.625503+0.009406 
## [28] train-mlogloss:0.310449+0.007227    test-mlogloss:0.630244+0.009121 
## [29] train-mlogloss:0.306609+0.007699    test-mlogloss:0.632153+0.010592 
## [30] train-mlogloss:0.301462+0.008717    test-mlogloss:0.634523+0.010382 
## [31] train-mlogloss:0.297575+0.008891    test-mlogloss:0.639490+0.010722 
## [32] train-mlogloss:0.291998+0.009087    test-mlogloss:0.642869+0.010428 
## [33] train-mlogloss:0.284646+0.008861    test-mlogloss:0.648188+0.011099 
## [34] train-mlogloss:0.278900+0.008435    test-mlogloss:0.651262+0.010668 
## [35] train-mlogloss:0.273403+0.007746    test-mlogloss:0.653399+0.009413 
## [36] train-mlogloss:0.268970+0.006963    test-mlogloss:0.656795+0.008345 
## [37] train-mlogloss:0.264400+0.007843    test-mlogloss:0.660186+0.009247 
## [38] train-mlogloss:0.259956+0.007326    test-mlogloss:0.663595+0.008639 
## [39] train-mlogloss:0.255476+0.008152    test-mlogloss:0.665200+0.009401 
## [40] train-mlogloss:0.250575+0.007436    test-mlogloss:0.669020+0.007414 
## [41] train-mlogloss:0.246696+0.006781    test-mlogloss:0.670314+0.007146 
## [42] train-mlogloss:0.242361+0.007528    test-mlogloss:0.673845+0.006909 
## [43] train-mlogloss:0.237147+0.006967    test-mlogloss:0.677767+0.009168 
## [44] train-mlogloss:0.232825+0.007101    test-mlogloss:0.681343+0.009968 
## [45] train-mlogloss:0.229750+0.006844    test-mlogloss:0.682014+0.007972 
## [46] train-mlogloss:0.225480+0.007689    test-mlogloss:0.684842+0.009446 
## [47] train-mlogloss:0.221279+0.008865    test-mlogloss:0.686553+0.010789 
## [48] train-mlogloss:0.217488+0.009969    test-mlogloss:0.688405+0.011336 
## [49] train-mlogloss:0.214138+0.011068    test-mlogloss:0.689835+0.010851 
## [50] train-mlogloss:0.209407+0.011107    test-mlogloss:0.691962+0.011115 
## [51] train-mlogloss:0.205937+0.011599    test-mlogloss:0.693865+0.012091 
## [52] train-mlogloss:0.202675+0.010819    test-mlogloss:0.696331+0.011659 
## [53] train-mlogloss:0.197895+0.010400    test-mlogloss:0.701510+0.012840 
## [54] train-mlogloss:0.193607+0.010117    test-mlogloss:0.705247+0.011697 
## [55] train-mlogloss:0.190134+0.009986    test-mlogloss:0.707806+0.011228 
## [56] train-mlogloss:0.187787+0.010630    test-mlogloss:0.709754+0.011768 
## [57] train-mlogloss:0.184099+0.010637    test-mlogloss:0.710999+0.013190 
## [58] train-mlogloss:0.181471+0.010214    test-mlogloss:0.713598+0.012860 
## [59] train-mlogloss:0.178009+0.010426    test-mlogloss:0.716442+0.012225 
## [60] train-mlogloss:0.175665+0.010138    test-mlogloss:0.718374+0.012137 
## [61] train-mlogloss:0.172782+0.009742    test-mlogloss:0.719763+0.013252 
## [62] train-mlogloss:0.170010+0.008724    test-mlogloss:0.721496+0.014075 
## [63] train-mlogloss:0.166689+0.008280    test-mlogloss:0.724209+0.013860 
## [64] train-mlogloss:0.163414+0.008770    test-mlogloss:0.725958+0.014689 
## [65] train-mlogloss:0.159846+0.008370    test-mlogloss:0.729732+0.014792 
## [66] train-mlogloss:0.156533+0.007683    test-mlogloss:0.732607+0.014149 
## [67] train-mlogloss:0.154421+0.006885    test-mlogloss:0.735709+0.012719 
## [68] train-mlogloss:0.151251+0.005885    test-mlogloss:0.736290+0.014949 
## [69] train-mlogloss:0.148672+0.005736    test-mlogloss:0.738879+0.012537 
## [70] train-mlogloss:0.145855+0.005597    test-mlogloss:0.741226+0.012790 
## [71] train-mlogloss:0.143251+0.005814    test-mlogloss:0.742359+0.013866 
## [72] train-mlogloss:0.141772+0.006155    test-mlogloss:0.743973+0.014654 
## [73] train-mlogloss:0.139278+0.005477    test-mlogloss:0.745502+0.014378 
## [74] train-mlogloss:0.136894+0.006172    test-mlogloss:0.747155+0.014923 
## [75] train-mlogloss:0.135075+0.006450    test-mlogloss:0.748005+0.013679 
## [76] train-mlogloss:0.132286+0.006555    test-mlogloss:0.752123+0.013726 
## [77] train-mlogloss:0.129743+0.005602    test-mlogloss:0.755577+0.013030 
## [78] train-mlogloss:0.127450+0.005686    test-mlogloss:0.760151+0.012187 
## [79] train-mlogloss:0.124927+0.005568    test-mlogloss:0.763139+0.011033 
## [80] train-mlogloss:0.122683+0.005075    test-mlogloss:0.765780+0.011116 
## [81] train-mlogloss:0.121144+0.004512    test-mlogloss:0.767945+0.009044 
## [82] train-mlogloss:0.119188+0.003923    test-mlogloss:0.770484+0.008979 
## [83] train-mlogloss:0.117428+0.004596    test-mlogloss:0.772405+0.009690 
## [84] train-mlogloss:0.115257+0.004255    test-mlogloss:0.775079+0.010706 
## [85] train-mlogloss:0.113131+0.003500    test-mlogloss:0.775212+0.009931 
## [86] train-mlogloss:0.111466+0.003250    test-mlogloss:0.777271+0.010021 
## [87] train-mlogloss:0.110161+0.003465    test-mlogloss:0.779758+0.010175 
## [88] train-mlogloss:0.108727+0.003478    test-mlogloss:0.782008+0.009986 
## [89] train-mlogloss:0.106766+0.004063    test-mlogloss:0.783937+0.009789 
## [90] train-mlogloss:0.105023+0.004539    test-mlogloss:0.785665+0.010039 
## [91] train-mlogloss:0.103625+0.005170    test-mlogloss:0.787325+0.011032 
## [92] train-mlogloss:0.102140+0.005298    test-mlogloss:0.788899+0.011380 
## [93] train-mlogloss:0.100348+0.005536    test-mlogloss:0.790751+0.011812 
## [94] train-mlogloss:0.098629+0.005689    test-mlogloss:0.792173+0.011521 
## [95] train-mlogloss:0.096810+0.005483    test-mlogloss:0.793598+0.010470 
## [96] train-mlogloss:0.095644+0.005394    test-mlogloss:0.796181+0.010307 
## [97] train-mlogloss:0.094002+0.006023    test-mlogloss:0.797467+0.011252 
## [98] train-mlogloss:0.092153+0.005644    test-mlogloss:0.799841+0.010957 
## [99] train-mlogloss:0.090777+0.005431    test-mlogloss:0.801099+0.011080 
## [100]    train-mlogloss:0.089548+0.005500    test-mlogloss:0.803045+0.011705 
## [101]    train-mlogloss:0.088141+0.004950    test-mlogloss:0.805824+0.012919 
## [102]    train-mlogloss:0.086642+0.004703    test-mlogloss:0.806848+0.013677 
## [103]    train-mlogloss:0.085152+0.004278    test-mlogloss:0.809945+0.014352 
## [104]    train-mlogloss:0.083716+0.004289    test-mlogloss:0.813724+0.016845 
## [105]    train-mlogloss:0.082042+0.003859    test-mlogloss:0.817022+0.015380 
## [106]    train-mlogloss:0.080215+0.003570    test-mlogloss:0.819492+0.013761 
## [107]    train-mlogloss:0.079182+0.003326    test-mlogloss:0.820275+0.014285 
## [108]    train-mlogloss:0.077952+0.003461    test-mlogloss:0.822387+0.015141 
## [109]    train-mlogloss:0.076260+0.003125    test-mlogloss:0.824514+0.015064 
## [110]    train-mlogloss:0.075056+0.003125    test-mlogloss:0.827452+0.014813 
## [111]    train-mlogloss:0.074095+0.003241    test-mlogloss:0.828439+0.014482 
## [112]    train-mlogloss:0.072789+0.003188    test-mlogloss:0.829770+0.014116 
## [113]    train-mlogloss:0.071724+0.003172    test-mlogloss:0.831748+0.014229 
## [114]    train-mlogloss:0.070950+0.003275    test-mlogloss:0.833235+0.015173 
## [115]    train-mlogloss:0.069972+0.003289    test-mlogloss:0.836078+0.016032 
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## [387]    train-mlogloss:0.005872+0.000168    test-mlogloss:1.158550+0.021577 
## [388]    train-mlogloss:0.005845+0.000165    test-mlogloss:1.158990+0.021527 
## [389]    train-mlogloss:0.005811+0.000162    test-mlogloss:1.159659+0.022268 
## [390]    train-mlogloss:0.005778+0.000166    test-mlogloss:1.160594+0.022427 
## [391]    train-mlogloss:0.005743+0.000169    test-mlogloss:1.161223+0.022738 
## [392]    train-mlogloss:0.005720+0.000173    test-mlogloss:1.161728+0.022884 
## [393]    train-mlogloss:0.005694+0.000173    test-mlogloss:1.162750+0.023268 
## [394]    train-mlogloss:0.005662+0.000170    test-mlogloss:1.163132+0.023849 
## [395]    train-mlogloss:0.005629+0.000168    test-mlogloss:1.164180+0.023066 
## [396]    train-mlogloss:0.005597+0.000160    test-mlogloss:1.164618+0.022874 
## [397]    train-mlogloss:0.005569+0.000166    test-mlogloss:1.164858+0.022664 
## [398]    train-mlogloss:0.005547+0.000164    test-mlogloss:1.165416+0.022779 
## [399]    train-mlogloss:0.005521+0.000163    test-mlogloss:1.165584+0.022621 
## [400]    train-mlogloss:0.005499+0.000162    test-mlogloss:1.166606+0.022287 
## [401]    train-mlogloss:0.005477+0.000162    test-mlogloss:1.167606+0.022999 
## [402]    train-mlogloss:0.005454+0.000161    test-mlogloss:1.167812+0.023003 
## [403]    train-mlogloss:0.005422+0.000159    test-mlogloss:1.169080+0.023360 
## [404]    train-mlogloss:0.005387+0.000162    test-mlogloss:1.170428+0.023849 
## [405]    train-mlogloss:0.005366+0.000161    test-mlogloss:1.171072+0.023777 
## [406]    train-mlogloss:0.005345+0.000158    test-mlogloss:1.171424+0.023353 
## [407]    train-mlogloss:0.005320+0.000156    test-mlogloss:1.172146+0.023533 
## [408]    train-mlogloss:0.005290+0.000161    test-mlogloss:1.173403+0.023486 
## [409]    train-mlogloss:0.005271+0.000166    test-mlogloss:1.174078+0.024057 
## [410]    train-mlogloss:0.005251+0.000172    test-mlogloss:1.174525+0.023876 
## [411]    train-mlogloss:0.005225+0.000181    test-mlogloss:1.174500+0.022983 
## [412]    train-mlogloss:0.005204+0.000186    test-mlogloss:1.174913+0.022583 
## [413]    train-mlogloss:0.005184+0.000187    test-mlogloss:1.175698+0.022658 
## [414]    train-mlogloss:0.005163+0.000198    test-mlogloss:1.175901+0.022712 
## [415]    train-mlogloss:0.005137+0.000199    test-mlogloss:1.177020+0.023101 
## [416]    train-mlogloss:0.005111+0.000198    test-mlogloss:1.177854+0.023480 
## [417]    train-mlogloss:0.005091+0.000196    test-mlogloss:1.178916+0.023342 
## [418]    train-mlogloss:0.005069+0.000197    test-mlogloss:1.179417+0.022253 
## [419]    train-mlogloss:0.005056+0.000198    test-mlogloss:1.179719+0.021979 
## [420]    train-mlogloss:0.005030+0.000193    test-mlogloss:1.179974+0.021845 
## [421]    train-mlogloss:0.005011+0.000185    test-mlogloss:1.180362+0.021810 
## [422]    train-mlogloss:0.004992+0.000179    test-mlogloss:1.180806+0.022081 
## [423]    train-mlogloss:0.004969+0.000180    test-mlogloss:1.182247+0.022505 
## [424]    train-mlogloss:0.004944+0.000171    test-mlogloss:1.182887+0.022866 
## [425]    train-mlogloss:0.004919+0.000162    test-mlogloss:1.183302+0.022600 
## [426]    train-mlogloss:0.004899+0.000162    test-mlogloss:1.183564+0.022515 
## [427]    train-mlogloss:0.004883+0.000167    test-mlogloss:1.184284+0.022553 
## [428]    train-mlogloss:0.004863+0.000167    test-mlogloss:1.185154+0.022639 
## [429]    train-mlogloss:0.004848+0.000162    test-mlogloss:1.185541+0.022725 
## [430]    train-mlogloss:0.004825+0.000157    test-mlogloss:1.185806+0.022546 
## [431]    train-mlogloss:0.004808+0.000155    test-mlogloss:1.186813+0.022566 
## [432]    train-mlogloss:0.004790+0.000150    test-mlogloss:1.187314+0.021981 
## [433]    train-mlogloss:0.004770+0.000142    test-mlogloss:1.188536+0.021638 
## [434]    train-mlogloss:0.004752+0.000136    test-mlogloss:1.189052+0.021730 
## [435]    train-mlogloss:0.004737+0.000138    test-mlogloss:1.189487+0.021811 
## [436]    train-mlogloss:0.004711+0.000138    test-mlogloss:1.189924+0.022407 
## [437]    train-mlogloss:0.004696+0.000143    test-mlogloss:1.190072+0.022455 
## [438]    train-mlogloss:0.004674+0.000143    test-mlogloss:1.190871+0.022737 
## [439]    train-mlogloss:0.004655+0.000143    test-mlogloss:1.191600+0.022733 
## [440]    train-mlogloss:0.004643+0.000145    test-mlogloss:1.192201+0.022757 
## [441]    train-mlogloss:0.004625+0.000148    test-mlogloss:1.192706+0.022666 
## [442]    train-mlogloss:0.004604+0.000146    test-mlogloss:1.193509+0.023157 
## [443]    train-mlogloss:0.004586+0.000143    test-mlogloss:1.194226+0.022953 
## [444]    train-mlogloss:0.004571+0.000136    test-mlogloss:1.194508+0.022838 
## [445]    train-mlogloss:0.004558+0.000134    test-mlogloss:1.195709+0.022450 
## [446]    train-mlogloss:0.004535+0.000126    test-mlogloss:1.196184+0.022600 
## [447]    train-mlogloss:0.004519+0.000126    test-mlogloss:1.196581+0.022399 
## [448]    train-mlogloss:0.004505+0.000131    test-mlogloss:1.197061+0.022474 
## [449]    train-mlogloss:0.004479+0.000133    test-mlogloss:1.197163+0.022855 
## [450]    train-mlogloss:0.004456+0.000130    test-mlogloss:1.198008+0.022940 
## [451]    train-mlogloss:0.004438+0.000129    test-mlogloss:1.198900+0.023018 
## [452]    train-mlogloss:0.004425+0.000128    test-mlogloss:1.199252+0.022928 
## [453]    train-mlogloss:0.004409+0.000127    test-mlogloss:1.199989+0.022993 
## [454]    train-mlogloss:0.004387+0.000125    test-mlogloss:1.200035+0.022536 
## [455]    train-mlogloss:0.004373+0.000127    test-mlogloss:1.200708+0.022425 
## [456]    train-mlogloss:0.004354+0.000132    test-mlogloss:1.201087+0.022690 
## [457]    train-mlogloss:0.004334+0.000131    test-mlogloss:1.201771+0.022782 
## [458]    train-mlogloss:0.004319+0.000129    test-mlogloss:1.202720+0.022457 
## [459]    train-mlogloss:0.004301+0.000131    test-mlogloss:1.203527+0.022290 
## [460]    train-mlogloss:0.004283+0.000129    test-mlogloss:1.204502+0.022419 
## [461]    train-mlogloss:0.004271+0.000124    test-mlogloss:1.204652+0.022566 
## [462]    train-mlogloss:0.004255+0.000123    test-mlogloss:1.205495+0.021936 
## [463]    train-mlogloss:0.004234+0.000118    test-mlogloss:1.206310+0.021901 
## [464]    train-mlogloss:0.004215+0.000114    test-mlogloss:1.206629+0.022004 
## [465]    train-mlogloss:0.004199+0.000111    test-mlogloss:1.207196+0.021858 
## [466]    train-mlogloss:0.004183+0.000107    test-mlogloss:1.207732+0.021778 
## [467]    train-mlogloss:0.004169+0.000113    test-mlogloss:1.208103+0.022340 
## [468]    train-mlogloss:0.004156+0.000113    test-mlogloss:1.208575+0.022344 
## [469]    train-mlogloss:0.004141+0.000112    test-mlogloss:1.208965+0.022318 
## [470]    train-mlogloss:0.004124+0.000110    test-mlogloss:1.210354+0.023051 
## [471]    train-mlogloss:0.004110+0.000109    test-mlogloss:1.210698+0.022854 
## [472]    train-mlogloss:0.004089+0.000109    test-mlogloss:1.211566+0.022587 
## [473]    train-mlogloss:0.004078+0.000107    test-mlogloss:1.211937+0.022216 
## [474]    train-mlogloss:0.004063+0.000107    test-mlogloss:1.213086+0.022506 
## [475]    train-mlogloss:0.004052+0.000110    test-mlogloss:1.213655+0.022664 
## [476]    train-mlogloss:0.004040+0.000108    test-mlogloss:1.213932+0.022485 
## [477]    train-mlogloss:0.004025+0.000111    test-mlogloss:1.214461+0.023463 
## [478]    train-mlogloss:0.004009+0.000115    test-mlogloss:1.214992+0.023650 
## [479]    train-mlogloss:0.003991+0.000113    test-mlogloss:1.215971+0.024086 
## [480]    train-mlogloss:0.003971+0.000112    test-mlogloss:1.216690+0.024094 
## [481]    train-mlogloss:0.003957+0.000112    test-mlogloss:1.217420+0.024059 
## [482]    train-mlogloss:0.003938+0.000109    test-mlogloss:1.217831+0.024180 
## [483]    train-mlogloss:0.003923+0.000109    test-mlogloss:1.218441+0.024443 
## [484]    train-mlogloss:0.003910+0.000108    test-mlogloss:1.218726+0.024518 
## [485]    train-mlogloss:0.003896+0.000109    test-mlogloss:1.219119+0.024008 
## [486]    train-mlogloss:0.003886+0.000110    test-mlogloss:1.219722+0.023865 
## [487]    train-mlogloss:0.003870+0.000113    test-mlogloss:1.220326+0.023814 
## [488]    train-mlogloss:0.003860+0.000116    test-mlogloss:1.220334+0.024329 
## [489]    train-mlogloss:0.003852+0.000119    test-mlogloss:1.220770+0.024461 
## [490]    train-mlogloss:0.003840+0.000117    test-mlogloss:1.221212+0.023967 
## [491]    train-mlogloss:0.003829+0.000119    test-mlogloss:1.221414+0.023715 
## [492]    train-mlogloss:0.003812+0.000115    test-mlogloss:1.222376+0.023380 
## [493]    train-mlogloss:0.003797+0.000111    test-mlogloss:1.222611+0.023432 
## [494]    train-mlogloss:0.003783+0.000109    test-mlogloss:1.223646+0.023894 
## [495]    train-mlogloss:0.003765+0.000108    test-mlogloss:1.224805+0.024232 
## [496]    train-mlogloss:0.003753+0.000108    test-mlogloss:1.225843+0.024692 
## [497]    train-mlogloss:0.003742+0.000108    test-mlogloss:1.226373+0.024955 
## [498]    train-mlogloss:0.003729+0.000109    test-mlogloss:1.226718+0.024939 
## [499]    train-mlogloss:0.003714+0.000101    test-mlogloss:1.227554+0.024392 
## [500]    train-mlogloss:0.003703+0.000099    test-mlogloss:1.227814+0.024357 
## [1]  train-mlogloss:0.262766+0.004412    test-mlogloss:0.634547+0.019250 
## [2]  train-mlogloss:0.144747+0.002999    test-mlogloss:0.657288+0.026882 
## [3]  train-mlogloss:0.094209+0.002289    test-mlogloss:0.679510+0.030942 
## [4]  train-mlogloss:0.069582+0.002927    test-mlogloss:0.701677+0.037119 
## [5]  train-mlogloss:0.055509+0.002316    test-mlogloss:0.723362+0.039467 
## [6]  train-mlogloss:0.046346+0.002827    test-mlogloss:0.737547+0.039850 
## [7]  train-mlogloss:0.039157+0.002827    test-mlogloss:0.751245+0.039375 
## [8]  train-mlogloss:0.033883+0.002961    test-mlogloss:0.762446+0.038627 
## [9]  train-mlogloss:0.029545+0.002185    test-mlogloss:0.774223+0.038409 
## [10] train-mlogloss:0.026269+0.001620    test-mlogloss:0.784460+0.040032 
## [11] train-mlogloss:0.023433+0.001305    test-mlogloss:0.793827+0.040399 
## [12] train-mlogloss:0.021488+0.001191    test-mlogloss:0.804560+0.043965 
## [13] train-mlogloss:0.019680+0.001068    test-mlogloss:0.812003+0.044565 
## [14] train-mlogloss:0.018072+0.000966    test-mlogloss:0.820969+0.045178 
## [15] train-mlogloss:0.016754+0.000821    test-mlogloss:0.828186+0.044329 
## [16] train-mlogloss:0.015747+0.000941    test-mlogloss:0.833270+0.046508 
## [17] train-mlogloss:0.014860+0.000713    test-mlogloss:0.839527+0.048389 
## [18] train-mlogloss:0.014034+0.000675    test-mlogloss:0.844467+0.046926 
## [19] train-mlogloss:0.013256+0.000654    test-mlogloss:0.847653+0.046889 
## [20] train-mlogloss:0.012571+0.000563    test-mlogloss:0.853391+0.046521 
## [21] train-mlogloss:0.011990+0.000509    test-mlogloss:0.858291+0.047264 
## [22] train-mlogloss:0.011420+0.000503    test-mlogloss:0.863791+0.047159 
## [23] train-mlogloss:0.010902+0.000416    test-mlogloss:0.867997+0.047264 
## [24] train-mlogloss:0.010490+0.000377    test-mlogloss:0.872792+0.046555 
## [25] train-mlogloss:0.010081+0.000368    test-mlogloss:0.877053+0.045851 
## [26] train-mlogloss:0.009688+0.000326    test-mlogloss:0.881693+0.046525 
## [27] train-mlogloss:0.009337+0.000288    test-mlogloss:0.886637+0.046832 
## [28] train-mlogloss:0.009029+0.000276    test-mlogloss:0.890718+0.046970 
## [29] train-mlogloss:0.008732+0.000239    test-mlogloss:0.894676+0.047208 
## [30] train-mlogloss:0.008454+0.000224    test-mlogloss:0.898241+0.047048 
## [31] train-mlogloss:0.008212+0.000204    test-mlogloss:0.901654+0.046560 
## [32] train-mlogloss:0.007978+0.000183    test-mlogloss:0.904684+0.047421 
## [33] train-mlogloss:0.007744+0.000169    test-mlogloss:0.910176+0.048051 
## [34] train-mlogloss:0.007515+0.000146    test-mlogloss:0.913474+0.048710 
## [35] train-mlogloss:0.007312+0.000135    test-mlogloss:0.917156+0.048849 
## [36] train-mlogloss:0.007121+0.000137    test-mlogloss:0.920545+0.048763 
## [37] train-mlogloss:0.006949+0.000124    test-mlogloss:0.923205+0.048709 
## [38] train-mlogloss:0.006787+0.000137    test-mlogloss:0.925687+0.048718 
## [39] train-mlogloss:0.006628+0.000129    test-mlogloss:0.928876+0.047816 
## [40] train-mlogloss:0.006483+0.000126    test-mlogloss:0.931154+0.047229 
## [41] train-mlogloss:0.006337+0.000123    test-mlogloss:0.933750+0.046974 
## [42] train-mlogloss:0.006204+0.000116    test-mlogloss:0.937500+0.046756 
## [43] train-mlogloss:0.006069+0.000112    test-mlogloss:0.940887+0.047016 
## [44] train-mlogloss:0.005943+0.000105    test-mlogloss:0.944373+0.048783 
## [45] train-mlogloss:0.005826+0.000103    test-mlogloss:0.947173+0.049283 
## [46] train-mlogloss:0.005713+0.000097    test-mlogloss:0.949515+0.048443 
## [47] train-mlogloss:0.005607+0.000091    test-mlogloss:0.952018+0.048474 
## [48] train-mlogloss:0.005509+0.000081    test-mlogloss:0.953888+0.049127 
## [49] train-mlogloss:0.005412+0.000075    test-mlogloss:0.956370+0.048583 
## [50] train-mlogloss:0.005320+0.000070    test-mlogloss:0.959106+0.048506 
## [51] train-mlogloss:0.005229+0.000067    test-mlogloss:0.961226+0.049445 
## [52] train-mlogloss:0.005142+0.000063    test-mlogloss:0.963101+0.050138 
## [53] train-mlogloss:0.005063+0.000060    test-mlogloss:0.965340+0.049762 
## [54] train-mlogloss:0.004990+0.000060    test-mlogloss:0.968005+0.050161 
## [55] train-mlogloss:0.004914+0.000058    test-mlogloss:0.969594+0.049809 
## [56] train-mlogloss:0.004839+0.000057    test-mlogloss:0.972255+0.049965 
## [57] train-mlogloss:0.004773+0.000049    test-mlogloss:0.973573+0.050207 
## [58] train-mlogloss:0.004708+0.000044    test-mlogloss:0.976257+0.050098 
## [59] train-mlogloss:0.004643+0.000046    test-mlogloss:0.977945+0.050273 
## [60] train-mlogloss:0.004580+0.000044    test-mlogloss:0.979945+0.050642 
## [61] train-mlogloss:0.004520+0.000040    test-mlogloss:0.980937+0.050190 
## [62] train-mlogloss:0.004459+0.000039    test-mlogloss:0.983449+0.050380 
## [63] train-mlogloss:0.004404+0.000038    test-mlogloss:0.985059+0.052123 
## [64] train-mlogloss:0.004347+0.000040    test-mlogloss:0.985516+0.052680 
## [65] train-mlogloss:0.004294+0.000040    test-mlogloss:0.987281+0.052377 
## [66] train-mlogloss:0.004241+0.000037    test-mlogloss:0.989791+0.051919 
## [67] train-mlogloss:0.004188+0.000038    test-mlogloss:0.991146+0.052068 
## [68] train-mlogloss:0.004138+0.000038    test-mlogloss:0.993309+0.051964 
## [69] train-mlogloss:0.004088+0.000040    test-mlogloss:0.994644+0.052407 
## [70] train-mlogloss:0.004041+0.000040    test-mlogloss:0.996123+0.051860 
## [71] train-mlogloss:0.003998+0.000040    test-mlogloss:0.997484+0.051542 
## [72] train-mlogloss:0.003955+0.000040    test-mlogloss:0.998552+0.050913 
## [73] train-mlogloss:0.003915+0.000041    test-mlogloss:1.000362+0.051315 
## [74] train-mlogloss:0.003872+0.000042    test-mlogloss:1.002348+0.051580 
## [75] train-mlogloss:0.003832+0.000042    test-mlogloss:1.003629+0.050664 
## [76] train-mlogloss:0.003794+0.000043    test-mlogloss:1.004931+0.050931 
## [77] train-mlogloss:0.003754+0.000040    test-mlogloss:1.006332+0.051144 
## [78] train-mlogloss:0.003716+0.000043    test-mlogloss:1.007895+0.050230 
## [79] train-mlogloss:0.003679+0.000041    test-mlogloss:1.008916+0.050637 
## [80] train-mlogloss:0.003644+0.000038    test-mlogloss:1.010426+0.050096 
## [81] train-mlogloss:0.003610+0.000037    test-mlogloss:1.012481+0.050369 
## [82] train-mlogloss:0.003577+0.000035    test-mlogloss:1.013999+0.049948 
## [83] train-mlogloss:0.003544+0.000035    test-mlogloss:1.015457+0.050014 
## [84] train-mlogloss:0.003515+0.000036    test-mlogloss:1.016664+0.049886 
## [85] train-mlogloss:0.003483+0.000033    test-mlogloss:1.018201+0.050226 
## [86] train-mlogloss:0.003452+0.000036    test-mlogloss:1.019776+0.050904 
## [87] train-mlogloss:0.003421+0.000034    test-mlogloss:1.021396+0.050915 
## [88] train-mlogloss:0.003393+0.000034    test-mlogloss:1.022073+0.051784 
## [89] train-mlogloss:0.003364+0.000032    test-mlogloss:1.022970+0.052355 
## [90] train-mlogloss:0.003335+0.000033    test-mlogloss:1.023764+0.051387 
## [91] train-mlogloss:0.003307+0.000034    test-mlogloss:1.024933+0.051618 
## [92] train-mlogloss:0.003278+0.000032    test-mlogloss:1.025897+0.051812 
## [93] train-mlogloss:0.003251+0.000032    test-mlogloss:1.026782+0.052321 
## [94] train-mlogloss:0.003225+0.000032    test-mlogloss:1.027920+0.052234 
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## [100]    train-mlogloss:0.003082+0.000033    test-mlogloss:1.035869+0.052859 
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## [10] train-mlogloss:0.481747+0.002651    test-mlogloss:0.536037+0.009747 
## [11] train-mlogloss:0.477872+0.002421    test-mlogloss:0.536569+0.009165 
## [12] train-mlogloss:0.473754+0.002554    test-mlogloss:0.537115+0.009804 
## [13] train-mlogloss:0.470672+0.002631    test-mlogloss:0.537543+0.009958 
## [14] train-mlogloss:0.467384+0.002684    test-mlogloss:0.538354+0.009843 
## [15] train-mlogloss:0.464171+0.002235    test-mlogloss:0.539350+0.009738 
## [16] train-mlogloss:0.460257+0.002011    test-mlogloss:0.539595+0.009685 
## [17] train-mlogloss:0.456810+0.002339    test-mlogloss:0.540814+0.010165 
## [18] train-mlogloss:0.453253+0.002937    test-mlogloss:0.541133+0.010316 
## [19] train-mlogloss:0.449622+0.002616    test-mlogloss:0.541488+0.010878 
## [20] train-mlogloss:0.446533+0.002976    test-mlogloss:0.542879+0.011184 
## [21] train-mlogloss:0.443297+0.002642    test-mlogloss:0.544274+0.011360 
## [22] train-mlogloss:0.440092+0.003287    test-mlogloss:0.545097+0.011702 
## [23] train-mlogloss:0.437114+0.002782    test-mlogloss:0.545863+0.011289 
## [24] train-mlogloss:0.434255+0.002688    test-mlogloss:0.546412+0.011002 
## [25] train-mlogloss:0.430990+0.002846    test-mlogloss:0.547195+0.010922 
## [26] train-mlogloss:0.427734+0.002850    test-mlogloss:0.547893+0.011725 
## [27] train-mlogloss:0.424603+0.002937    test-mlogloss:0.548945+0.012213 
## [28] train-mlogloss:0.421775+0.003325    test-mlogloss:0.549699+0.012351 
## [29] train-mlogloss:0.418388+0.003528    test-mlogloss:0.551054+0.012605 
## [30] train-mlogloss:0.415507+0.003192    test-mlogloss:0.551307+0.012920 
## [31] train-mlogloss:0.412823+0.002960    test-mlogloss:0.551828+0.012786 
## [32] train-mlogloss:0.409413+0.003394    test-mlogloss:0.552832+0.013148 
## [33] train-mlogloss:0.406564+0.003433    test-mlogloss:0.552977+0.013077 
## [34] train-mlogloss:0.403345+0.004252    test-mlogloss:0.554245+0.013796 
## [35] train-mlogloss:0.400342+0.004891    test-mlogloss:0.555424+0.013632 
## [36] train-mlogloss:0.397348+0.005051    test-mlogloss:0.555804+0.013768 
## [37] train-mlogloss:0.394451+0.004524    test-mlogloss:0.556667+0.013124 
## [38] train-mlogloss:0.391846+0.004513    test-mlogloss:0.556974+0.012704 
## [39] train-mlogloss:0.389117+0.004778    test-mlogloss:0.556992+0.012513 
## [40] train-mlogloss:0.385943+0.004708    test-mlogloss:0.558071+0.012108 
## [41] train-mlogloss:0.383103+0.004870    test-mlogloss:0.558823+0.012205 
## [42] train-mlogloss:0.380283+0.004807    test-mlogloss:0.559257+0.012093 
## [43] train-mlogloss:0.377240+0.005038    test-mlogloss:0.560071+0.011887 
## [44] train-mlogloss:0.374674+0.005172    test-mlogloss:0.560645+0.013129 
## [45] train-mlogloss:0.372238+0.005125    test-mlogloss:0.561029+0.013975 
## [46] train-mlogloss:0.369498+0.004809    test-mlogloss:0.561687+0.013899 
## [47] train-mlogloss:0.367478+0.004500    test-mlogloss:0.562590+0.013601 
## [48] train-mlogloss:0.364886+0.004513    test-mlogloss:0.563709+0.013920 
## [49] train-mlogloss:0.362342+0.004532    test-mlogloss:0.564941+0.014611 
## [50] train-mlogloss:0.359824+0.004254    test-mlogloss:0.565749+0.015049 
## [51] train-mlogloss:0.357313+0.004486    test-mlogloss:0.566808+0.015217 
## [52] train-mlogloss:0.354959+0.004516    test-mlogloss:0.567150+0.014434 
## [53] train-mlogloss:0.352589+0.004697    test-mlogloss:0.567240+0.014308 
## [54] train-mlogloss:0.350289+0.004764    test-mlogloss:0.568931+0.014525 
## [55] train-mlogloss:0.348100+0.004605    test-mlogloss:0.570174+0.014669 
## [56] train-mlogloss:0.345711+0.004045    test-mlogloss:0.570556+0.014673 
## [57] train-mlogloss:0.343300+0.004135    test-mlogloss:0.571477+0.014414 
## [58] train-mlogloss:0.340463+0.004298    test-mlogloss:0.572050+0.014224 
## [59] train-mlogloss:0.338406+0.004190    test-mlogloss:0.572668+0.014906 
## [60] train-mlogloss:0.335791+0.004181    test-mlogloss:0.573348+0.014963 
## [61] train-mlogloss:0.333621+0.004652    test-mlogloss:0.573475+0.014790 
## [62] train-mlogloss:0.331899+0.004759    test-mlogloss:0.573720+0.014348 
## [63] train-mlogloss:0.329635+0.004749    test-mlogloss:0.574121+0.015044 
## [64] train-mlogloss:0.327441+0.004714    test-mlogloss:0.574692+0.015370 
## [65] train-mlogloss:0.325333+0.004578    test-mlogloss:0.574524+0.015760 
## [66] train-mlogloss:0.323083+0.004494    test-mlogloss:0.575568+0.016409 
## [67] train-mlogloss:0.320749+0.004613    test-mlogloss:0.576838+0.016292 
## [68] train-mlogloss:0.318317+0.004769    test-mlogloss:0.577594+0.016474 
## [69] train-mlogloss:0.315993+0.004666    test-mlogloss:0.579020+0.016908 
## [70] train-mlogloss:0.314072+0.004978    test-mlogloss:0.580358+0.016804 
## [71] train-mlogloss:0.312215+0.004965    test-mlogloss:0.581383+0.016834 
## [72] train-mlogloss:0.310268+0.005017    test-mlogloss:0.582823+0.016747 
## [73] train-mlogloss:0.308437+0.004825    test-mlogloss:0.583342+0.017463 
## [74] train-mlogloss:0.306246+0.004840    test-mlogloss:0.583578+0.018026 
## [75] train-mlogloss:0.304027+0.004579    test-mlogloss:0.584031+0.017762 
## [76] train-mlogloss:0.302273+0.004324    test-mlogloss:0.584332+0.017807 
## [77] train-mlogloss:0.300101+0.004494    test-mlogloss:0.584969+0.017801 
## [78] train-mlogloss:0.298059+0.004206    test-mlogloss:0.586067+0.017787 
## [79] train-mlogloss:0.296071+0.004041    test-mlogloss:0.586798+0.018105 
## [80] train-mlogloss:0.294156+0.003738    test-mlogloss:0.587472+0.017153 
## [81] train-mlogloss:0.292335+0.003777    test-mlogloss:0.588067+0.016702 
## [82] train-mlogloss:0.290310+0.003951    test-mlogloss:0.589245+0.017051 
## [83] train-mlogloss:0.288120+0.003961    test-mlogloss:0.590346+0.016625 
## [84] train-mlogloss:0.286249+0.003989    test-mlogloss:0.590652+0.016952 
## [85] train-mlogloss:0.284115+0.003750    test-mlogloss:0.591695+0.017270 
## [86] train-mlogloss:0.282541+0.003655    test-mlogloss:0.592852+0.016965 
## [87] train-mlogloss:0.280817+0.003654    test-mlogloss:0.593347+0.016653 
## [88] train-mlogloss:0.279054+0.003783    test-mlogloss:0.593902+0.017111 
## [89] train-mlogloss:0.277075+0.003577    test-mlogloss:0.594893+0.017283 
## [90] train-mlogloss:0.275522+0.003503    test-mlogloss:0.595553+0.017381 
## [91] train-mlogloss:0.273621+0.003411    test-mlogloss:0.595823+0.017073 
## [92] train-mlogloss:0.271816+0.003279    test-mlogloss:0.595961+0.017045 
## [93] train-mlogloss:0.270002+0.003250    test-mlogloss:0.595531+0.016793 
## [94] train-mlogloss:0.268326+0.003197    test-mlogloss:0.596415+0.016501 
## [95] train-mlogloss:0.266456+0.003189    test-mlogloss:0.596673+0.016282 
## [96] train-mlogloss:0.264819+0.003094    test-mlogloss:0.597227+0.016437 
## [97] train-mlogloss:0.263118+0.002944    test-mlogloss:0.598211+0.016693 
## [98] train-mlogloss:0.261246+0.002720    test-mlogloss:0.599488+0.016236 
## [99] train-mlogloss:0.259895+0.002946    test-mlogloss:0.600333+0.016077 
## [100]    train-mlogloss:0.258512+0.003077    test-mlogloss:0.600767+0.016091 
## [101]    train-mlogloss:0.257022+0.003253    test-mlogloss:0.601041+0.016158 
## [102]    train-mlogloss:0.255444+0.003069    test-mlogloss:0.601344+0.016990 
## [103]    train-mlogloss:0.253772+0.002904    test-mlogloss:0.601994+0.016788 
## [104]    train-mlogloss:0.252059+0.002910    test-mlogloss:0.601905+0.016717 
## [105]    train-mlogloss:0.250515+0.003029    test-mlogloss:0.602203+0.016663 
## [106]    train-mlogloss:0.248884+0.002764    test-mlogloss:0.602653+0.016426 
## [107]    train-mlogloss:0.247139+0.002481    test-mlogloss:0.602956+0.015861 
## [108]    train-mlogloss:0.245614+0.002528    test-mlogloss:0.603749+0.016676 
## [109]    train-mlogloss:0.244064+0.002627    test-mlogloss:0.604868+0.016615 
## [110]    train-mlogloss:0.242432+0.002660    test-mlogloss:0.605167+0.016512 
## [111]    train-mlogloss:0.240995+0.002685    test-mlogloss:0.605194+0.016357 
## [112]    train-mlogloss:0.239149+0.002707    test-mlogloss:0.606536+0.016642 
## [113]    train-mlogloss:0.237542+0.002639    test-mlogloss:0.607506+0.016941 
## [114]    train-mlogloss:0.236269+0.002749    test-mlogloss:0.608385+0.016462 
## [115]    train-mlogloss:0.234695+0.002937    test-mlogloss:0.608885+0.016496 
## [116]    train-mlogloss:0.233254+0.002952    test-mlogloss:0.609330+0.016519 
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## [118]    train-mlogloss:0.230455+0.002619    test-mlogloss:0.610265+0.016493 
## [119]    train-mlogloss:0.229120+0.002630    test-mlogloss:0.610963+0.016697 
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## [121]    train-mlogloss:0.226379+0.002560    test-mlogloss:0.612190+0.016915 
## [122]    train-mlogloss:0.225018+0.002531    test-mlogloss:0.612585+0.016590 
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## [126]    train-mlogloss:0.219648+0.002650    test-mlogloss:0.614707+0.017051 
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## [420]    train-mlogloss:0.045354+0.001083    test-mlogloss:0.794063+0.030016 
## [421]    train-mlogloss:0.045174+0.001081    test-mlogloss:0.795325+0.029639 
## [422]    train-mlogloss:0.044973+0.001111    test-mlogloss:0.795085+0.029492 
## [423]    train-mlogloss:0.044779+0.001140    test-mlogloss:0.795554+0.029895 
## [424]    train-mlogloss:0.044599+0.001148    test-mlogloss:0.796045+0.030118 
## [425]    train-mlogloss:0.044376+0.001176    test-mlogloss:0.796574+0.030131 
## [426]    train-mlogloss:0.044199+0.001174    test-mlogloss:0.796869+0.030083 
## [427]    train-mlogloss:0.044008+0.001147    test-mlogloss:0.797493+0.029896 
## [428]    train-mlogloss:0.043796+0.001116    test-mlogloss:0.798264+0.029476 
## [429]    train-mlogloss:0.043595+0.001125    test-mlogloss:0.798628+0.029897 
## [430]    train-mlogloss:0.043419+0.001141    test-mlogloss:0.799088+0.029684 
## [431]    train-mlogloss:0.043236+0.001160    test-mlogloss:0.799804+0.029492 
## [432]    train-mlogloss:0.043009+0.001155    test-mlogloss:0.800037+0.029197 
## [433]    train-mlogloss:0.042815+0.001161    test-mlogloss:0.800492+0.029186 
## [434]    train-mlogloss:0.042621+0.001132    test-mlogloss:0.801545+0.029151 
## [435]    train-mlogloss:0.042426+0.001160    test-mlogloss:0.801958+0.028952 
## [436]    train-mlogloss:0.042245+0.001175    test-mlogloss:0.802238+0.029004 
## [437]    train-mlogloss:0.042052+0.001152    test-mlogloss:0.802830+0.029172 
## [438]    train-mlogloss:0.041882+0.001112    test-mlogloss:0.803557+0.028938 
## [439]    train-mlogloss:0.041696+0.001116    test-mlogloss:0.804261+0.029351 
## [440]    train-mlogloss:0.041539+0.001109    test-mlogloss:0.804916+0.029415 
## [441]    train-mlogloss:0.041346+0.001094    test-mlogloss:0.805870+0.029151 
## [442]    train-mlogloss:0.041178+0.001044    test-mlogloss:0.806740+0.029105 
## [443]    train-mlogloss:0.041002+0.001046    test-mlogloss:0.807388+0.028876 
## [444]    train-mlogloss:0.040830+0.001026    test-mlogloss:0.808204+0.028758 
## [445]    train-mlogloss:0.040642+0.001026    test-mlogloss:0.809100+0.028991 
## [446]    train-mlogloss:0.040473+0.001040    test-mlogloss:0.809675+0.029614 
## [447]    train-mlogloss:0.040310+0.001023    test-mlogloss:0.810193+0.029451 
## [448]    train-mlogloss:0.040153+0.001005    test-mlogloss:0.810670+0.030164 
## [449]    train-mlogloss:0.039996+0.001017    test-mlogloss:0.810470+0.030084 
## [450]    train-mlogloss:0.039795+0.001035    test-mlogloss:0.811087+0.030049 
## [451]    train-mlogloss:0.039624+0.001023    test-mlogloss:0.811827+0.029952 
## [452]    train-mlogloss:0.039466+0.001016    test-mlogloss:0.812230+0.029997 
## [453]    train-mlogloss:0.039319+0.000994    test-mlogloss:0.812355+0.030098 
## [454]    train-mlogloss:0.039140+0.000979    test-mlogloss:0.812795+0.030405 
## [455]    train-mlogloss:0.038982+0.000966    test-mlogloss:0.812963+0.030228 
## [456]    train-mlogloss:0.038834+0.000970    test-mlogloss:0.813573+0.030282 
## [457]    train-mlogloss:0.038700+0.000958    test-mlogloss:0.813847+0.030396 
## [458]    train-mlogloss:0.038561+0.000948    test-mlogloss:0.814900+0.030053 
## [459]    train-mlogloss:0.038410+0.000947    test-mlogloss:0.815318+0.030180 
## [460]    train-mlogloss:0.038276+0.000952    test-mlogloss:0.816234+0.030379 
## [461]    train-mlogloss:0.038130+0.000979    test-mlogloss:0.816559+0.030570 
## [462]    train-mlogloss:0.037940+0.001003    test-mlogloss:0.817111+0.030319 
## [463]    train-mlogloss:0.037769+0.001028    test-mlogloss:0.817553+0.030059 
## [464]    train-mlogloss:0.037612+0.001031    test-mlogloss:0.818275+0.029793 
## [465]    train-mlogloss:0.037452+0.001012    test-mlogloss:0.818799+0.029647 
## [466]    train-mlogloss:0.037309+0.000984    test-mlogloss:0.819296+0.029433 
## [467]    train-mlogloss:0.037158+0.000995    test-mlogloss:0.819940+0.029514 
## [468]    train-mlogloss:0.037008+0.000990    test-mlogloss:0.820250+0.029308 
## [469]    train-mlogloss:0.036847+0.000986    test-mlogloss:0.820345+0.029386 
## [470]    train-mlogloss:0.036708+0.000987    test-mlogloss:0.821306+0.028563 
## [471]    train-mlogloss:0.036544+0.000987    test-mlogloss:0.821985+0.028643 
## [472]    train-mlogloss:0.036396+0.000989    test-mlogloss:0.822434+0.028671 
## [473]    train-mlogloss:0.036253+0.000986    test-mlogloss:0.823215+0.028607 
## [474]    train-mlogloss:0.036091+0.000978    test-mlogloss:0.823472+0.028874 
## [475]    train-mlogloss:0.035938+0.000957    test-mlogloss:0.823930+0.028938 
## [476]    train-mlogloss:0.035780+0.000965    test-mlogloss:0.824596+0.029149 
## [477]    train-mlogloss:0.035634+0.000953    test-mlogloss:0.825283+0.029144 
## [478]    train-mlogloss:0.035480+0.000950    test-mlogloss:0.825563+0.029248 
## [479]    train-mlogloss:0.035319+0.000925    test-mlogloss:0.826073+0.029405 
## [480]    train-mlogloss:0.035176+0.000918    test-mlogloss:0.826032+0.029399 
## [481]    train-mlogloss:0.035011+0.000891    test-mlogloss:0.826323+0.029803 
## [482]    train-mlogloss:0.034894+0.000912    test-mlogloss:0.827175+0.029649 
## [483]    train-mlogloss:0.034766+0.000927    test-mlogloss:0.827771+0.030016 
## [484]    train-mlogloss:0.034628+0.000929    test-mlogloss:0.828242+0.029755 
## [485]    train-mlogloss:0.034456+0.000918    test-mlogloss:0.828471+0.029448 
## [486]    train-mlogloss:0.034300+0.000921    test-mlogloss:0.829048+0.029558 
## [487]    train-mlogloss:0.034175+0.000912    test-mlogloss:0.829327+0.029707 
## [488]    train-mlogloss:0.034039+0.000900    test-mlogloss:0.829802+0.029367 
## [489]    train-mlogloss:0.033895+0.000914    test-mlogloss:0.830710+0.029324 
## [490]    train-mlogloss:0.033769+0.000921    test-mlogloss:0.831577+0.029336 
## [491]    train-mlogloss:0.033627+0.000942    test-mlogloss:0.831734+0.029500 
## [492]    train-mlogloss:0.033486+0.000935    test-mlogloss:0.831933+0.029425 
## [493]    train-mlogloss:0.033333+0.000939    test-mlogloss:0.832338+0.029509 
## [494]    train-mlogloss:0.033187+0.000946    test-mlogloss:0.832958+0.029080 
## [495]    train-mlogloss:0.033047+0.000934    test-mlogloss:0.833499+0.029011 
## [496]    train-mlogloss:0.032906+0.000946    test-mlogloss:0.833813+0.029334 
## [497]    train-mlogloss:0.032783+0.000922    test-mlogloss:0.834212+0.029302 
## [498]    train-mlogloss:0.032675+0.000917    test-mlogloss:0.834409+0.028565 
## [499]    train-mlogloss:0.032541+0.000923    test-mlogloss:0.834726+0.028608 
## [500]    train-mlogloss:0.032398+0.000897    test-mlogloss:0.835309+0.028786 
## [1]  train-mlogloss:0.554270+0.001254    test-mlogloss:0.633465+0.003191 
## [2]  train-mlogloss:0.466126+0.001722    test-mlogloss:0.600397+0.004159 
## [3]  train-mlogloss:0.398770+0.001754    test-mlogloss:0.582855+0.006112 
## [4]  train-mlogloss:0.346027+0.001180    test-mlogloss:0.574075+0.008298 
## [5]  train-mlogloss:0.303149+0.001569    test-mlogloss:0.570313+0.009942 
## [6]  train-mlogloss:0.268515+0.001636    test-mlogloss:0.569120+0.012817 
## [7]  train-mlogloss:0.239869+0.001722    test-mlogloss:0.570202+0.014011 
## [8]  train-mlogloss:0.216640+0.001492    test-mlogloss:0.573360+0.015599 
## [9]  train-mlogloss:0.197112+0.002253    test-mlogloss:0.575238+0.015910 
## [10] train-mlogloss:0.181699+0.003409    test-mlogloss:0.579650+0.016464 
## [11] train-mlogloss:0.168635+0.003503    test-mlogloss:0.582679+0.017179 
## [12] train-mlogloss:0.157557+0.002678    test-mlogloss:0.586758+0.018531 
## [13] train-mlogloss:0.147943+0.002520    test-mlogloss:0.590738+0.018065 
## [14] train-mlogloss:0.139479+0.003201    test-mlogloss:0.594424+0.018153 
## [15] train-mlogloss:0.130779+0.003464    test-mlogloss:0.597541+0.017665 
## [16] train-mlogloss:0.122482+0.003346    test-mlogloss:0.600599+0.017260 
## [17] train-mlogloss:0.115205+0.004284    test-mlogloss:0.604529+0.016790 
## [18] train-mlogloss:0.107715+0.003833    test-mlogloss:0.609948+0.017117 
## [19] train-mlogloss:0.101109+0.003276    test-mlogloss:0.615239+0.016396 
## [20] train-mlogloss:0.095074+0.002875    test-mlogloss:0.619538+0.017258 
## [21] train-mlogloss:0.089633+0.002739    test-mlogloss:0.624011+0.018378 
## [22] train-mlogloss:0.084507+0.002399    test-mlogloss:0.626733+0.018590 
## [23] train-mlogloss:0.080078+0.002061    test-mlogloss:0.631011+0.018572 
## [24] train-mlogloss:0.076040+0.001956    test-mlogloss:0.635381+0.019215 
## [25] train-mlogloss:0.072309+0.001914    test-mlogloss:0.639395+0.019618 
## [26] train-mlogloss:0.068819+0.001761    test-mlogloss:0.642897+0.020863 
## [27] train-mlogloss:0.065620+0.001687    test-mlogloss:0.645916+0.021600 
## [28] train-mlogloss:0.062668+0.001429    test-mlogloss:0.649735+0.021402 
## [29] train-mlogloss:0.059984+0.001345    test-mlogloss:0.652101+0.022389 
## [30] train-mlogloss:0.057462+0.001231    test-mlogloss:0.654899+0.022519 
## [31] train-mlogloss:0.055187+0.001188    test-mlogloss:0.657671+0.022947 
## [32] train-mlogloss:0.053045+0.001005    test-mlogloss:0.661683+0.023913 
## [33] train-mlogloss:0.051093+0.000957    test-mlogloss:0.665039+0.023874 
## [34] train-mlogloss:0.049413+0.000975    test-mlogloss:0.668196+0.024104 
## [35] train-mlogloss:0.047628+0.000874    test-mlogloss:0.670773+0.024428 
## [36] train-mlogloss:0.045953+0.000876    test-mlogloss:0.672949+0.024026 
## [37] train-mlogloss:0.044433+0.000780    test-mlogloss:0.675504+0.023500 
## [38] train-mlogloss:0.043035+0.000725    test-mlogloss:0.678510+0.023835 
## [39] train-mlogloss:0.041687+0.000682    test-mlogloss:0.681317+0.023471 
## [40] train-mlogloss:0.040420+0.000627    test-mlogloss:0.684201+0.023038 
## [41] train-mlogloss:0.039227+0.000650    test-mlogloss:0.687170+0.022591 
## [42] train-mlogloss:0.038078+0.000642    test-mlogloss:0.689383+0.022566 
## [43] train-mlogloss:0.036973+0.000613    test-mlogloss:0.692030+0.022883 
## [44] train-mlogloss:0.035997+0.000572    test-mlogloss:0.694671+0.023284 
## [45] train-mlogloss:0.035075+0.000540    test-mlogloss:0.696364+0.024346 
## [46] train-mlogloss:0.034176+0.000591    test-mlogloss:0.698090+0.024358 
## [47] train-mlogloss:0.033339+0.000569    test-mlogloss:0.700004+0.024809 
## [48] train-mlogloss:0.032531+0.000542    test-mlogloss:0.702787+0.025002 
## [49] train-mlogloss:0.031739+0.000541    test-mlogloss:0.704754+0.025555 
## [50] train-mlogloss:0.030983+0.000538    test-mlogloss:0.707067+0.025584 
## [51] train-mlogloss:0.030262+0.000512    test-mlogloss:0.708849+0.025506 
## [52] train-mlogloss:0.029601+0.000475    test-mlogloss:0.710182+0.026177 
## [53] train-mlogloss:0.028948+0.000445    test-mlogloss:0.711977+0.026499 
## [54] train-mlogloss:0.028310+0.000431    test-mlogloss:0.713945+0.027213 
## [55] train-mlogloss:0.027706+0.000425    test-mlogloss:0.715850+0.026987 
## [56] train-mlogloss:0.027175+0.000412    test-mlogloss:0.718314+0.027054 
## [57] train-mlogloss:0.026631+0.000391    test-mlogloss:0.720823+0.027309 
## [58] train-mlogloss:0.026088+0.000391    test-mlogloss:0.722436+0.027130 
## [59] train-mlogloss:0.025570+0.000362    test-mlogloss:0.725460+0.027605 
## [60] train-mlogloss:0.025089+0.000343    test-mlogloss:0.726587+0.027923 
## [61] train-mlogloss:0.024647+0.000330    test-mlogloss:0.728689+0.027622 
## [62] train-mlogloss:0.024212+0.000312    test-mlogloss:0.730786+0.027758 
## [63] train-mlogloss:0.023797+0.000312    test-mlogloss:0.732958+0.027425 
## [64] train-mlogloss:0.023400+0.000325    test-mlogloss:0.734245+0.026820 
## [65] train-mlogloss:0.022996+0.000316    test-mlogloss:0.735966+0.026481 
## [66] train-mlogloss:0.022605+0.000291    test-mlogloss:0.737934+0.026678 
## [67] train-mlogloss:0.022221+0.000265    test-mlogloss:0.739588+0.026895 
## [68] train-mlogloss:0.021849+0.000245    test-mlogloss:0.741599+0.027516 
## [69] train-mlogloss:0.021502+0.000242    test-mlogloss:0.743803+0.028113 
## [70] train-mlogloss:0.021153+0.000237    test-mlogloss:0.745226+0.028062 
## [71] train-mlogloss:0.020816+0.000244    test-mlogloss:0.747112+0.027927 
## [72] train-mlogloss:0.020518+0.000233    test-mlogloss:0.749039+0.027562 
## [73] train-mlogloss:0.020202+0.000218    test-mlogloss:0.750531+0.027899 
## [74] train-mlogloss:0.019913+0.000215    test-mlogloss:0.751859+0.028179 
## [75] train-mlogloss:0.019613+0.000201    test-mlogloss:0.753563+0.028335 
## [76] train-mlogloss:0.019353+0.000196    test-mlogloss:0.754670+0.028614 
## [77] train-mlogloss:0.019093+0.000193    test-mlogloss:0.756449+0.028983 
## [78] train-mlogloss:0.018830+0.000185    test-mlogloss:0.757707+0.028786 
## [79] train-mlogloss:0.018580+0.000184    test-mlogloss:0.759250+0.028571 
## [80] train-mlogloss:0.018335+0.000185    test-mlogloss:0.760926+0.029289 
## [81] train-mlogloss:0.018089+0.000178    test-mlogloss:0.762461+0.029032 
## [82] train-mlogloss:0.017850+0.000177    test-mlogloss:0.764003+0.029144 
## [83] train-mlogloss:0.017619+0.000174    test-mlogloss:0.765080+0.029094 
## [84] train-mlogloss:0.017408+0.000178    test-mlogloss:0.766478+0.029300 
## [85] train-mlogloss:0.017196+0.000183    test-mlogloss:0.767684+0.029387 
## [86] train-mlogloss:0.016992+0.000175    test-mlogloss:0.769307+0.029817 
## [87] train-mlogloss:0.016788+0.000166    test-mlogloss:0.770875+0.029732 
## [88] train-mlogloss:0.016589+0.000159    test-mlogloss:0.772036+0.030133 
## [89] train-mlogloss:0.016402+0.000163    test-mlogloss:0.773727+0.030267 
## [90] train-mlogloss:0.016220+0.000155    test-mlogloss:0.775232+0.030669 
## [91] train-mlogloss:0.016037+0.000144    test-mlogloss:0.776717+0.030877 
## [92] train-mlogloss:0.015851+0.000136    test-mlogloss:0.778329+0.030630 
## [93] train-mlogloss:0.015677+0.000130    test-mlogloss:0.779245+0.030543 
## [94] train-mlogloss:0.015506+0.000126    test-mlogloss:0.780320+0.030762 
## [95] train-mlogloss:0.015342+0.000119    test-mlogloss:0.781772+0.030533 
## [96] train-mlogloss:0.015180+0.000113    test-mlogloss:0.782958+0.030152 
## [97] train-mlogloss:0.015023+0.000109    test-mlogloss:0.784138+0.030422 
## [98] train-mlogloss:0.014867+0.000114    test-mlogloss:0.785284+0.030472 
## [99] train-mlogloss:0.014715+0.000117    test-mlogloss:0.786135+0.030872 
## [100]    train-mlogloss:0.014568+0.000113    test-mlogloss:0.787807+0.031256 
## [101]    train-mlogloss:0.014433+0.000111    test-mlogloss:0.788097+0.031459 
## [102]    train-mlogloss:0.014290+0.000110    test-mlogloss:0.789100+0.031574 
## [103]    train-mlogloss:0.014151+0.000101    test-mlogloss:0.790099+0.031288 
## [104]    train-mlogloss:0.014019+0.000100    test-mlogloss:0.791111+0.031826 
## [105]    train-mlogloss:0.013886+0.000102    test-mlogloss:0.792070+0.031862 
## [106]    train-mlogloss:0.013756+0.000099    test-mlogloss:0.793310+0.031572 
## [107]    train-mlogloss:0.013633+0.000104    test-mlogloss:0.794310+0.031720 
## [108]    train-mlogloss:0.013508+0.000099    test-mlogloss:0.795373+0.031735 
## [109]    train-mlogloss:0.013383+0.000095    test-mlogloss:0.796811+0.031769 
## [110]    train-mlogloss:0.013262+0.000095    test-mlogloss:0.797243+0.031642 
## [111]    train-mlogloss:0.013148+0.000092    test-mlogloss:0.798852+0.031932 
## [112]    train-mlogloss:0.013034+0.000091    test-mlogloss:0.800146+0.031854 
## [113]    train-mlogloss:0.012918+0.000088    test-mlogloss:0.801370+0.031804 
## [114]    train-mlogloss:0.012801+0.000082    test-mlogloss:0.802397+0.031665 
## [115]    train-mlogloss:0.012696+0.000085    test-mlogloss:0.803336+0.031717 
## [116]    train-mlogloss:0.012593+0.000083    test-mlogloss:0.804521+0.032103 
## [117]    train-mlogloss:0.012488+0.000088    test-mlogloss:0.805200+0.032334 
## [118]    train-mlogloss:0.012387+0.000089    test-mlogloss:0.806618+0.032160 
## [119]    train-mlogloss:0.012289+0.000091    test-mlogloss:0.807618+0.032230 
## [120]    train-mlogloss:0.012194+0.000090    test-mlogloss:0.808405+0.032254 
## [121]    train-mlogloss:0.012096+0.000089    test-mlogloss:0.809387+0.032701 
## [122]    train-mlogloss:0.012004+0.000087    test-mlogloss:0.810494+0.032596 
## [123]    train-mlogloss:0.011907+0.000092    test-mlogloss:0.811452+0.032292 
## [124]    train-mlogloss:0.011815+0.000092    test-mlogloss:0.812326+0.031915 
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## [499]    train-mlogloss:0.003803+0.000030    test-mlogloss:0.974278+0.038722 
## [500]    train-mlogloss:0.003798+0.000031    test-mlogloss:0.974429+0.038798 
## [1]  train-mlogloss:0.539326+0.003356    test-mlogloss:0.555801+0.013271 
## [2]  train-mlogloss:0.509848+0.005347    test-mlogloss:0.543458+0.016007 
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## [4]  train-mlogloss:0.487652+0.004516    test-mlogloss:0.544537+0.018398 
## [5]  train-mlogloss:0.479317+0.004286    test-mlogloss:0.548228+0.020489 
## [6]  train-mlogloss:0.470639+0.002345    test-mlogloss:0.553538+0.018913 
## [7]  train-mlogloss:0.463125+0.004727    test-mlogloss:0.555865+0.019416 
## [8]  train-mlogloss:0.456413+0.004607    test-mlogloss:0.557190+0.018235 
## [9]  train-mlogloss:0.448285+0.004938    test-mlogloss:0.561687+0.017359 
## [10] train-mlogloss:0.441168+0.004479    test-mlogloss:0.565719+0.017274 
## [11] train-mlogloss:0.434864+0.005451    test-mlogloss:0.568631+0.017486 
## [12] train-mlogloss:0.427949+0.004858    test-mlogloss:0.571780+0.017192 
## [13] train-mlogloss:0.419630+0.004925    test-mlogloss:0.575425+0.018660 
## [14] train-mlogloss:0.412784+0.006055    test-mlogloss:0.578464+0.020915 
## [15] train-mlogloss:0.405249+0.006251    test-mlogloss:0.580169+0.020661 
## [16] train-mlogloss:0.398757+0.005514    test-mlogloss:0.583363+0.021353 
## [17] train-mlogloss:0.390672+0.006156    test-mlogloss:0.585553+0.021576 
## [18] train-mlogloss:0.385033+0.006313    test-mlogloss:0.589814+0.023782 
## [19] train-mlogloss:0.378054+0.006243    test-mlogloss:0.595362+0.025424 
## [20] train-mlogloss:0.371416+0.006473    test-mlogloss:0.599604+0.024580 
## [21] train-mlogloss:0.365523+0.006221    test-mlogloss:0.604874+0.024606 
## [22] train-mlogloss:0.360137+0.006201    test-mlogloss:0.609053+0.024717 
## [23] train-mlogloss:0.354717+0.006030    test-mlogloss:0.610345+0.026759 
## [24] train-mlogloss:0.348562+0.006285    test-mlogloss:0.613990+0.025117 
## [25] train-mlogloss:0.342665+0.005977    test-mlogloss:0.616533+0.026132 
## [26] train-mlogloss:0.337598+0.005471    test-mlogloss:0.616222+0.026192 
## [27] train-mlogloss:0.331861+0.005642    test-mlogloss:0.620549+0.027624 
## [28] train-mlogloss:0.326561+0.005547    test-mlogloss:0.625230+0.030471 
## [29] train-mlogloss:0.321198+0.005896    test-mlogloss:0.627387+0.030470 
## [30] train-mlogloss:0.315249+0.005515    test-mlogloss:0.632132+0.031316 
## [31] train-mlogloss:0.310127+0.005718    test-mlogloss:0.636859+0.031126 
## [32] train-mlogloss:0.304922+0.005242    test-mlogloss:0.640219+0.031205 
## [33] train-mlogloss:0.300354+0.005629    test-mlogloss:0.641485+0.031977 
## [34] train-mlogloss:0.295225+0.005783    test-mlogloss:0.645228+0.033685 
## [35] train-mlogloss:0.290234+0.005556    test-mlogloss:0.646946+0.030226 
## [36] train-mlogloss:0.285078+0.005551    test-mlogloss:0.649079+0.028551 
## [37] train-mlogloss:0.279916+0.005339    test-mlogloss:0.652572+0.027586 
## [38] train-mlogloss:0.275611+0.005076    test-mlogloss:0.655988+0.028566 
## [39] train-mlogloss:0.271092+0.004751    test-mlogloss:0.658458+0.026998 
## [40] train-mlogloss:0.266749+0.004671    test-mlogloss:0.663083+0.028228 
## [41] train-mlogloss:0.262212+0.004237    test-mlogloss:0.665012+0.027306 
## [42] train-mlogloss:0.257498+0.004271    test-mlogloss:0.669072+0.024983 
## [43] train-mlogloss:0.253067+0.004563    test-mlogloss:0.670489+0.023753 
## [44] train-mlogloss:0.248724+0.004981    test-mlogloss:0.672595+0.025852 
## [45] train-mlogloss:0.244661+0.004394    test-mlogloss:0.674409+0.026991 
## [46] train-mlogloss:0.240751+0.004110    test-mlogloss:0.677333+0.025466 
## [47] train-mlogloss:0.236404+0.004135    test-mlogloss:0.682092+0.027906 
## [48] train-mlogloss:0.232529+0.004147    test-mlogloss:0.684522+0.027399 
## [49] train-mlogloss:0.229052+0.004425    test-mlogloss:0.686819+0.027946 
## [50] train-mlogloss:0.225485+0.004631    test-mlogloss:0.689629+0.027949 
## [51] train-mlogloss:0.221778+0.004278    test-mlogloss:0.692711+0.028557 
## [52] train-mlogloss:0.218276+0.004358    test-mlogloss:0.695719+0.027808 
## [53] train-mlogloss:0.214624+0.004729    test-mlogloss:0.699528+0.027791 
## [54] train-mlogloss:0.210839+0.005211    test-mlogloss:0.703090+0.027761 
## [55] train-mlogloss:0.207410+0.005455    test-mlogloss:0.705655+0.030013 
## [56] train-mlogloss:0.204254+0.005141    test-mlogloss:0.708253+0.029338 
## [57] train-mlogloss:0.200888+0.005038    test-mlogloss:0.710316+0.030828 
## [58] train-mlogloss:0.197391+0.005222    test-mlogloss:0.714994+0.030568 
## [59] train-mlogloss:0.194113+0.005295    test-mlogloss:0.717838+0.030108 
## [60] train-mlogloss:0.190895+0.005750    test-mlogloss:0.718658+0.030107 
## [61] train-mlogloss:0.187714+0.005980    test-mlogloss:0.722067+0.031372 
## [62] train-mlogloss:0.184777+0.006022    test-mlogloss:0.724441+0.032689 
## [63] train-mlogloss:0.181796+0.005599    test-mlogloss:0.726963+0.031569 
## [64] train-mlogloss:0.178403+0.005400    test-mlogloss:0.729638+0.031409 
## [65] train-mlogloss:0.175235+0.005270    test-mlogloss:0.733591+0.030418 
## [66] train-mlogloss:0.172277+0.005103    test-mlogloss:0.737867+0.031216 
## [67] train-mlogloss:0.169282+0.005115    test-mlogloss:0.738641+0.032671 
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## [69] train-mlogloss:0.164286+0.004585    test-mlogloss:0.742434+0.033187 
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## [71] train-mlogloss:0.159208+0.004711    test-mlogloss:0.749524+0.035536 
## [72] train-mlogloss:0.156774+0.004645    test-mlogloss:0.751272+0.035917 
## [73] train-mlogloss:0.154045+0.004350    test-mlogloss:0.754208+0.034921 
## [74] train-mlogloss:0.151648+0.004415    test-mlogloss:0.755552+0.036722 
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## [76] train-mlogloss:0.146845+0.004141    test-mlogloss:0.760968+0.037415 
## [77] train-mlogloss:0.144559+0.004476    test-mlogloss:0.763216+0.037216 
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## [79] train-mlogloss:0.140319+0.004422    test-mlogloss:0.766159+0.038736 
## [80] train-mlogloss:0.137994+0.004408    test-mlogloss:0.767976+0.037304 
## [81] train-mlogloss:0.136033+0.004560    test-mlogloss:0.771374+0.037642 
## [82] train-mlogloss:0.133709+0.004386    test-mlogloss:0.772842+0.036604 
## [83] train-mlogloss:0.131907+0.004565    test-mlogloss:0.775116+0.036083 
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## [86] train-mlogloss:0.125660+0.004107    test-mlogloss:0.781280+0.037438 
## [87] train-mlogloss:0.123788+0.004352    test-mlogloss:0.782850+0.036865 
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## [89] train-mlogloss:0.119400+0.004350    test-mlogloss:0.788536+0.037814 
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## [91] train-mlogloss:0.116175+0.004205    test-mlogloss:0.792120+0.037039 
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## [100]    train-mlogloss:0.101450+0.003284    test-mlogloss:0.810433+0.038019 
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## [104]    train-mlogloss:0.095709+0.003089    test-mlogloss:0.816672+0.039747 
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## [446]    train-mlogloss:0.005887+0.000108    test-mlogloss:1.213374+0.052976 
## [447]    train-mlogloss:0.005866+0.000109    test-mlogloss:1.214363+0.053424 
## [448]    train-mlogloss:0.005838+0.000103    test-mlogloss:1.214806+0.053861 
## [449]    train-mlogloss:0.005816+0.000107    test-mlogloss:1.214293+0.053071 
## [450]    train-mlogloss:0.005791+0.000105    test-mlogloss:1.214209+0.052746 
## [451]    train-mlogloss:0.005768+0.000107    test-mlogloss:1.215036+0.052348 
## [452]    train-mlogloss:0.005747+0.000106    test-mlogloss:1.216442+0.052659 
## [453]    train-mlogloss:0.005729+0.000102    test-mlogloss:1.216954+0.053164 
## [454]    train-mlogloss:0.005703+0.000100    test-mlogloss:1.217351+0.052981 
## [455]    train-mlogloss:0.005680+0.000098    test-mlogloss:1.217823+0.052425 
## [456]    train-mlogloss:0.005660+0.000095    test-mlogloss:1.217813+0.052974 
## [457]    train-mlogloss:0.005644+0.000094    test-mlogloss:1.219039+0.053110 
## [458]    train-mlogloss:0.005622+0.000098    test-mlogloss:1.219095+0.053234 
## [459]    train-mlogloss:0.005604+0.000094    test-mlogloss:1.219298+0.053441 
## [460]    train-mlogloss:0.005590+0.000091    test-mlogloss:1.218909+0.053795 
## [461]    train-mlogloss:0.005567+0.000090    test-mlogloss:1.219972+0.054103 
## [462]    train-mlogloss:0.005547+0.000093    test-mlogloss:1.220382+0.053928 
## [463]    train-mlogloss:0.005529+0.000093    test-mlogloss:1.220119+0.053635 
## [464]    train-mlogloss:0.005510+0.000094    test-mlogloss:1.221343+0.053807 
## [465]    train-mlogloss:0.005491+0.000092    test-mlogloss:1.222042+0.053370 
## [466]    train-mlogloss:0.005472+0.000089    test-mlogloss:1.223580+0.052318 
## [467]    train-mlogloss:0.005454+0.000091    test-mlogloss:1.224743+0.052640 
## [468]    train-mlogloss:0.005433+0.000091    test-mlogloss:1.225008+0.052394 
## [469]    train-mlogloss:0.005416+0.000089    test-mlogloss:1.225139+0.052009 
## [470]    train-mlogloss:0.005401+0.000089    test-mlogloss:1.225136+0.052052 
## [471]    train-mlogloss:0.005380+0.000087    test-mlogloss:1.225861+0.052303 
## [472]    train-mlogloss:0.005364+0.000083    test-mlogloss:1.227316+0.053550 
## [473]    train-mlogloss:0.005345+0.000088    test-mlogloss:1.227454+0.053832 
## [474]    train-mlogloss:0.005329+0.000084    test-mlogloss:1.226686+0.054121 
## [475]    train-mlogloss:0.005311+0.000091    test-mlogloss:1.227877+0.054778 
## [476]    train-mlogloss:0.005292+0.000096    test-mlogloss:1.227790+0.054392 
## [477]    train-mlogloss:0.005275+0.000095    test-mlogloss:1.228666+0.053825 
## [478]    train-mlogloss:0.005260+0.000090    test-mlogloss:1.229124+0.053503 
## [479]    train-mlogloss:0.005241+0.000089    test-mlogloss:1.229450+0.052826 
## [480]    train-mlogloss:0.005223+0.000088    test-mlogloss:1.230100+0.053011 
## [481]    train-mlogloss:0.005205+0.000089    test-mlogloss:1.230475+0.052577 
## [482]    train-mlogloss:0.005186+0.000093    test-mlogloss:1.231183+0.052636 
## [483]    train-mlogloss:0.005168+0.000092    test-mlogloss:1.232065+0.052595 
## [484]    train-mlogloss:0.005150+0.000088    test-mlogloss:1.231521+0.052327 
## [485]    train-mlogloss:0.005134+0.000088    test-mlogloss:1.231754+0.052596 
## [486]    train-mlogloss:0.005117+0.000087    test-mlogloss:1.232375+0.052609 
## [487]    train-mlogloss:0.005101+0.000088    test-mlogloss:1.233437+0.052761 
## [488]    train-mlogloss:0.005082+0.000088    test-mlogloss:1.234957+0.052923 
## [489]    train-mlogloss:0.005062+0.000085    test-mlogloss:1.235679+0.051833 
## [490]    train-mlogloss:0.005049+0.000084    test-mlogloss:1.236434+0.052148 
## [491]    train-mlogloss:0.005031+0.000087    test-mlogloss:1.236831+0.051944 
## [492]    train-mlogloss:0.005017+0.000085    test-mlogloss:1.237828+0.051669 
## [493]    train-mlogloss:0.005002+0.000086    test-mlogloss:1.237872+0.051238 
## [494]    train-mlogloss:0.004988+0.000085    test-mlogloss:1.238409+0.051020 
## [495]    train-mlogloss:0.004971+0.000082    test-mlogloss:1.239361+0.051050 
## [496]    train-mlogloss:0.004959+0.000081    test-mlogloss:1.240417+0.051192 
## [497]    train-mlogloss:0.004942+0.000083    test-mlogloss:1.241180+0.051007 
## [498]    train-mlogloss:0.004927+0.000081    test-mlogloss:1.240907+0.051593 
## [499]    train-mlogloss:0.004912+0.000082    test-mlogloss:1.240941+0.051641 
## [500]    train-mlogloss:0.004897+0.000081    test-mlogloss:1.241766+0.052401 
## [1]  train-mlogloss:0.409330+0.003235    test-mlogloss:0.608046+0.010074 
## [2]  train-mlogloss:0.291832+0.003583    test-mlogloss:0.627231+0.012194 
## [3]  train-mlogloss:0.223043+0.003564    test-mlogloss:0.650652+0.022417 
## [4]  train-mlogloss:0.178192+0.004892    test-mlogloss:0.665375+0.026881 
## [5]  train-mlogloss:0.144197+0.003908    test-mlogloss:0.684213+0.026627 
## [6]  train-mlogloss:0.120499+0.003570    test-mlogloss:0.700180+0.029941 
## [7]  train-mlogloss:0.101130+0.002924    test-mlogloss:0.717537+0.035092 
## [8]  train-mlogloss:0.086853+0.002766    test-mlogloss:0.733785+0.036084 
## [9]  train-mlogloss:0.075133+0.002062    test-mlogloss:0.744705+0.036158 
## [10] train-mlogloss:0.065828+0.001539    test-mlogloss:0.755640+0.038796 
## [11] train-mlogloss:0.058259+0.000996    test-mlogloss:0.766036+0.038719 
## [12] train-mlogloss:0.052149+0.000721    test-mlogloss:0.770970+0.041892 
## [13] train-mlogloss:0.047297+0.000551    test-mlogloss:0.780545+0.042134 
## [14] train-mlogloss:0.043305+0.000724    test-mlogloss:0.788914+0.045062 
## [15] train-mlogloss:0.039796+0.000713    test-mlogloss:0.796547+0.043266 
## [16] train-mlogloss:0.036692+0.000660    test-mlogloss:0.806356+0.045796 
## [17] train-mlogloss:0.033955+0.000546    test-mlogloss:0.812858+0.047195 
## [18] train-mlogloss:0.031759+0.000563    test-mlogloss:0.817227+0.048148 
## [19] train-mlogloss:0.029869+0.000494    test-mlogloss:0.824651+0.049740 
## [20] train-mlogloss:0.028103+0.000498    test-mlogloss:0.832289+0.052533 
## [21] train-mlogloss:0.026652+0.000535    test-mlogloss:0.838046+0.053123 
## [22] train-mlogloss:0.025252+0.000514    test-mlogloss:0.843814+0.055001 
## [23] train-mlogloss:0.024015+0.000460    test-mlogloss:0.850331+0.053314 
## [24] train-mlogloss:0.022856+0.000380    test-mlogloss:0.855155+0.054926 
## [25] train-mlogloss:0.021848+0.000348    test-mlogloss:0.860390+0.055814 
## [26] train-mlogloss:0.020914+0.000338    test-mlogloss:0.864914+0.057845 
## [27] train-mlogloss:0.020060+0.000317    test-mlogloss:0.869804+0.060135 
## [28] train-mlogloss:0.019302+0.000304    test-mlogloss:0.873764+0.062391 
## [29] train-mlogloss:0.018587+0.000273    test-mlogloss:0.878769+0.062165 
## [30] train-mlogloss:0.017907+0.000254    test-mlogloss:0.882175+0.061908 
## [31] train-mlogloss:0.017303+0.000237    test-mlogloss:0.885797+0.064192 
## [32] train-mlogloss:0.016773+0.000212    test-mlogloss:0.889854+0.066700 
## [33] train-mlogloss:0.016290+0.000185    test-mlogloss:0.891964+0.065770 
## [34] train-mlogloss:0.015778+0.000181    test-mlogloss:0.895041+0.064480 
## [35] train-mlogloss:0.015325+0.000186    test-mlogloss:0.899557+0.065194 
## [36] train-mlogloss:0.014890+0.000184    test-mlogloss:0.901388+0.065082 
## [37] train-mlogloss:0.014491+0.000187    test-mlogloss:0.905924+0.066305 
## [38] train-mlogloss:0.014129+0.000166    test-mlogloss:0.909340+0.067061 
## [39] train-mlogloss:0.013766+0.000169    test-mlogloss:0.913060+0.066843 
## [40] train-mlogloss:0.013433+0.000161    test-mlogloss:0.915534+0.065216 
## [41] train-mlogloss:0.013103+0.000148    test-mlogloss:0.918960+0.064903 
## [42] train-mlogloss:0.012795+0.000140    test-mlogloss:0.922269+0.064368 
## [43] train-mlogloss:0.012490+0.000150    test-mlogloss:0.924387+0.065902 
## [44] train-mlogloss:0.012208+0.000144    test-mlogloss:0.927771+0.067155 
## [45] train-mlogloss:0.011939+0.000163    test-mlogloss:0.931535+0.067939 
## [46] train-mlogloss:0.011684+0.000149    test-mlogloss:0.933786+0.068021 
## [47] train-mlogloss:0.011439+0.000137    test-mlogloss:0.936482+0.069098 
## [48] train-mlogloss:0.011222+0.000140    test-mlogloss:0.938210+0.069559 
## [49] train-mlogloss:0.011009+0.000140    test-mlogloss:0.941487+0.069014 
## [50] train-mlogloss:0.010812+0.000148    test-mlogloss:0.944740+0.068828 
## [51] train-mlogloss:0.010606+0.000155    test-mlogloss:0.946444+0.068931 
## [52] train-mlogloss:0.010409+0.000151    test-mlogloss:0.948464+0.070124 
## [53] train-mlogloss:0.010231+0.000156    test-mlogloss:0.949228+0.069914 
## [54] train-mlogloss:0.010053+0.000132    test-mlogloss:0.950339+0.069647 
## [55] train-mlogloss:0.009891+0.000128    test-mlogloss:0.952132+0.070478 
## [56] train-mlogloss:0.009735+0.000122    test-mlogloss:0.955171+0.071560 
## [57] train-mlogloss:0.009580+0.000126    test-mlogloss:0.956722+0.072485 
## [58] train-mlogloss:0.009428+0.000123    test-mlogloss:0.960623+0.071791 
## [59] train-mlogloss:0.009285+0.000125    test-mlogloss:0.963236+0.073395 
## [60] train-mlogloss:0.009146+0.000114    test-mlogloss:0.964505+0.072606 
## [61] train-mlogloss:0.009012+0.000114    test-mlogloss:0.966599+0.072902 
## [62] train-mlogloss:0.008878+0.000114    test-mlogloss:0.967408+0.073031 
## [63] train-mlogloss:0.008748+0.000113    test-mlogloss:0.971039+0.073688 
## [64] train-mlogloss:0.008616+0.000102    test-mlogloss:0.972976+0.074812 
## [65] train-mlogloss:0.008508+0.000104    test-mlogloss:0.974401+0.076130 
## [66] train-mlogloss:0.008390+0.000107    test-mlogloss:0.976719+0.076231 
## [67] train-mlogloss:0.008286+0.000105    test-mlogloss:0.978610+0.076822 
## [68] train-mlogloss:0.008181+0.000103    test-mlogloss:0.979183+0.075536 
## [69] train-mlogloss:0.008082+0.000087    test-mlogloss:0.980223+0.075612 
## [70] train-mlogloss:0.007982+0.000090    test-mlogloss:0.982007+0.076730 
## [71] train-mlogloss:0.007874+0.000091    test-mlogloss:0.984340+0.075412 
## [72] train-mlogloss:0.007785+0.000094    test-mlogloss:0.985690+0.075007 
## [73] train-mlogloss:0.007690+0.000092    test-mlogloss:0.988017+0.075750 
## [74] train-mlogloss:0.007610+0.000093    test-mlogloss:0.989514+0.075604 
## [75] train-mlogloss:0.007525+0.000097    test-mlogloss:0.991176+0.077065 
## [76] train-mlogloss:0.007437+0.000091    test-mlogloss:0.991889+0.075673 
## [77] train-mlogloss:0.007358+0.000087    test-mlogloss:0.993429+0.075536 
## [78] train-mlogloss:0.007277+0.000089    test-mlogloss:0.995719+0.075640 
## [79] train-mlogloss:0.007204+0.000092    test-mlogloss:0.996519+0.075341 
## [80] train-mlogloss:0.007133+0.000097    test-mlogloss:0.997054+0.075095 
## [81] train-mlogloss:0.007059+0.000093    test-mlogloss:0.997977+0.075657 
## [82] train-mlogloss:0.006984+0.000089    test-mlogloss:0.998402+0.076193 
## [83] train-mlogloss:0.006921+0.000082    test-mlogloss:1.001046+0.077852 
## [84] train-mlogloss:0.006860+0.000076    test-mlogloss:1.002791+0.078423 
## [85] train-mlogloss:0.006797+0.000076    test-mlogloss:1.003532+0.077824 
## [86] train-mlogloss:0.006735+0.000080    test-mlogloss:1.004377+0.078065 
## [87] train-mlogloss:0.006670+0.000077    test-mlogloss:1.006121+0.077735 
## [88] train-mlogloss:0.006603+0.000076    test-mlogloss:1.006819+0.078324 
## [89] train-mlogloss:0.006542+0.000082    test-mlogloss:1.009488+0.078818 
## [90] train-mlogloss:0.006484+0.000081    test-mlogloss:1.011147+0.077919 
## [91] train-mlogloss:0.006431+0.000082    test-mlogloss:1.012667+0.078667 
## [92] train-mlogloss:0.006373+0.000082    test-mlogloss:1.015185+0.078374 
## [93] train-mlogloss:0.006315+0.000080    test-mlogloss:1.016450+0.077478 
## [94] train-mlogloss:0.006258+0.000077    test-mlogloss:1.016749+0.077586 
## [95] train-mlogloss:0.006207+0.000077    test-mlogloss:1.018007+0.076664 
## [96] train-mlogloss:0.006154+0.000080    test-mlogloss:1.018958+0.076933 
## [97] train-mlogloss:0.006103+0.000080    test-mlogloss:1.019539+0.077940 
## [98] train-mlogloss:0.006055+0.000084    test-mlogloss:1.021145+0.077856 
## [99] train-mlogloss:0.006005+0.000078    test-mlogloss:1.022458+0.077804 
## [100]    train-mlogloss:0.005961+0.000079    test-mlogloss:1.023507+0.077359 
## [101]    train-mlogloss:0.005914+0.000079    test-mlogloss:1.024576+0.078370 
## [102]    train-mlogloss:0.005873+0.000081    test-mlogloss:1.025735+0.078909 
## [103]    train-mlogloss:0.005826+0.000081    test-mlogloss:1.027092+0.078530 
## [104]    train-mlogloss:0.005783+0.000080    test-mlogloss:1.027646+0.080161 
## [105]    train-mlogloss:0.005744+0.000078    test-mlogloss:1.029331+0.081042 
## [106]    train-mlogloss:0.005699+0.000076    test-mlogloss:1.030312+0.081710 
## [107]    train-mlogloss:0.005655+0.000077    test-mlogloss:1.031495+0.080816 
## [108]    train-mlogloss:0.005610+0.000074    test-mlogloss:1.031798+0.080169 
## [109]    train-mlogloss:0.005570+0.000074    test-mlogloss:1.033450+0.080182 
## [110]    train-mlogloss:0.005525+0.000075    test-mlogloss:1.033322+0.079936 
## [111]    train-mlogloss:0.005490+0.000077    test-mlogloss:1.033926+0.079472 
## [112]    train-mlogloss:0.005452+0.000074    test-mlogloss:1.034406+0.078871 
## [113]    train-mlogloss:0.005415+0.000074    test-mlogloss:1.034342+0.078771 
## [114]    train-mlogloss:0.005381+0.000071    test-mlogloss:1.036309+0.079014 
## [115]    train-mlogloss:0.005344+0.000071    test-mlogloss:1.037724+0.079787 
## [116]    train-mlogloss:0.005308+0.000072    test-mlogloss:1.038722+0.079984 
## [117]    train-mlogloss:0.005271+0.000070    test-mlogloss:1.039250+0.080737 
## [118]    train-mlogloss:0.005233+0.000065    test-mlogloss:1.039469+0.080098 
## [119]    train-mlogloss:0.005201+0.000066    test-mlogloss:1.040401+0.080077 
## [120]    train-mlogloss:0.005165+0.000071    test-mlogloss:1.041712+0.080363 
## [121]    train-mlogloss:0.005131+0.000069    test-mlogloss:1.042670+0.080467 
## [122]    train-mlogloss:0.005099+0.000065    test-mlogloss:1.043417+0.080029 
## [123]    train-mlogloss:0.005068+0.000063    test-mlogloss:1.043919+0.079011 
## [124]    train-mlogloss:0.005040+0.000064    test-mlogloss:1.045156+0.079166 
## [125]    train-mlogloss:0.005011+0.000061    test-mlogloss:1.045719+0.079774 
## [126]    train-mlogloss:0.004980+0.000062    test-mlogloss:1.046565+0.079560 
## [127]    train-mlogloss:0.004954+0.000057    test-mlogloss:1.048713+0.079322 
## [128]    train-mlogloss:0.004928+0.000057    test-mlogloss:1.049098+0.079327 
## [129]    train-mlogloss:0.004900+0.000058    test-mlogloss:1.049746+0.079811 
## [130]    train-mlogloss:0.004871+0.000060    test-mlogloss:1.050857+0.080523 
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## [132]    train-mlogloss:0.004817+0.000060    test-mlogloss:1.053843+0.081998 
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## [134]    train-mlogloss:0.004762+0.000058    test-mlogloss:1.056006+0.081159 
## [135]    train-mlogloss:0.004739+0.000061    test-mlogloss:1.056507+0.081544 
## [136]    train-mlogloss:0.004714+0.000057    test-mlogloss:1.058526+0.081476 
## [137]    train-mlogloss:0.004684+0.000055    test-mlogloss:1.059234+0.081189 
## [138]    train-mlogloss:0.004660+0.000053    test-mlogloss:1.059442+0.080694 
## [139]    train-mlogloss:0.004636+0.000050    test-mlogloss:1.061514+0.080685 
## [140]    train-mlogloss:0.004612+0.000051    test-mlogloss:1.062944+0.080041 
## [141]    train-mlogloss:0.004591+0.000049    test-mlogloss:1.063786+0.080017 
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## [143]    train-mlogloss:0.004541+0.000051    test-mlogloss:1.065343+0.081087 
## [144]    train-mlogloss:0.004520+0.000053    test-mlogloss:1.066029+0.081702 
## [145]    train-mlogloss:0.004500+0.000052    test-mlogloss:1.067131+0.081339 
## [146]    train-mlogloss:0.004475+0.000053    test-mlogloss:1.067811+0.081193 
## [147]    train-mlogloss:0.004452+0.000053    test-mlogloss:1.068729+0.080302 
## [148]    train-mlogloss:0.004429+0.000055    test-mlogloss:1.069521+0.080642 
## [149]    train-mlogloss:0.004409+0.000052    test-mlogloss:1.069995+0.080117 
## [150]    train-mlogloss:0.004390+0.000054    test-mlogloss:1.070346+0.080687 
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## [360]    train-mlogloss:0.002441+0.000028    test-mlogloss:1.163162+0.087833 
## [361]    train-mlogloss:0.002437+0.000027    test-mlogloss:1.163415+0.087733 
## [362]    train-mlogloss:0.002433+0.000028    test-mlogloss:1.163662+0.087676 
## [363]    train-mlogloss:0.002429+0.000028    test-mlogloss:1.163363+0.087669 
## [364]    train-mlogloss:0.002425+0.000028    test-mlogloss:1.163788+0.087960 
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## [366]    train-mlogloss:0.002417+0.000027    test-mlogloss:1.163978+0.087271 
## [367]    train-mlogloss:0.002412+0.000028    test-mlogloss:1.164106+0.087852 
## [368]    train-mlogloss:0.002409+0.000027    test-mlogloss:1.164765+0.087741 
## [369]    train-mlogloss:0.002405+0.000027    test-mlogloss:1.165336+0.087869 
## [370]    train-mlogloss:0.002401+0.000028    test-mlogloss:1.165607+0.087842 
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## [372]    train-mlogloss:0.002393+0.000028    test-mlogloss:1.166657+0.087205 
## [373]    train-mlogloss:0.002388+0.000028    test-mlogloss:1.167178+0.087355 
## [374]    train-mlogloss:0.002385+0.000028    test-mlogloss:1.167262+0.087924 
## [375]    train-mlogloss:0.002380+0.000028    test-mlogloss:1.167248+0.088084 
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## [389]    train-mlogloss:0.002330+0.000027    test-mlogloss:1.168769+0.087687 
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## [391]    train-mlogloss:0.002321+0.000027    test-mlogloss:1.169581+0.087703 
## [392]    train-mlogloss:0.002317+0.000027    test-mlogloss:1.169915+0.088334 
## [393]    train-mlogloss:0.002313+0.000026    test-mlogloss:1.170330+0.087944 
## [394]    train-mlogloss:0.002310+0.000027    test-mlogloss:1.170824+0.087944 
## [395]    train-mlogloss:0.002306+0.000026    test-mlogloss:1.171291+0.089219 
## [396]    train-mlogloss:0.002303+0.000026    test-mlogloss:1.171370+0.089451 
## [397]    train-mlogloss:0.002299+0.000026    test-mlogloss:1.171949+0.089579 
## [398]    train-mlogloss:0.002296+0.000025    test-mlogloss:1.172195+0.089905 
## [399]    train-mlogloss:0.002293+0.000025    test-mlogloss:1.172523+0.089549 
## [400]    train-mlogloss:0.002290+0.000024    test-mlogloss:1.172810+0.089805 
## [401]    train-mlogloss:0.002286+0.000024    test-mlogloss:1.172827+0.089407 
## [402]    train-mlogloss:0.002283+0.000024    test-mlogloss:1.171913+0.088987 
## [403]    train-mlogloss:0.002279+0.000025    test-mlogloss:1.172619+0.088605 
## [404]    train-mlogloss:0.002275+0.000025    test-mlogloss:1.173381+0.087795 
## [405]    train-mlogloss:0.002271+0.000023    test-mlogloss:1.173358+0.087118 
## [406]    train-mlogloss:0.002268+0.000023    test-mlogloss:1.174264+0.088196 
## [407]    train-mlogloss:0.002265+0.000024    test-mlogloss:1.173734+0.087542 
## [408]    train-mlogloss:0.002261+0.000024    test-mlogloss:1.174220+0.087714 
## [409]    train-mlogloss:0.002257+0.000024    test-mlogloss:1.175081+0.088152 
## [410]    train-mlogloss:0.002254+0.000024    test-mlogloss:1.174559+0.088401 
## [411]    train-mlogloss:0.002251+0.000024    test-mlogloss:1.175252+0.088180 
## [412]    train-mlogloss:0.002248+0.000025    test-mlogloss:1.175952+0.088380 
## [413]    train-mlogloss:0.002246+0.000025    test-mlogloss:1.176018+0.088063 
## [414]    train-mlogloss:0.002243+0.000025    test-mlogloss:1.176938+0.088198 
## [415]    train-mlogloss:0.002240+0.000026    test-mlogloss:1.176562+0.087828 
## [416]    train-mlogloss:0.002236+0.000027    test-mlogloss:1.176392+0.087943 
## [417]    train-mlogloss:0.002232+0.000027    test-mlogloss:1.176659+0.087884 
## [418]    train-mlogloss:0.002229+0.000027    test-mlogloss:1.177353+0.088528 
## [419]    train-mlogloss:0.002226+0.000027    test-mlogloss:1.177980+0.089027 
## [420]    train-mlogloss:0.002222+0.000027    test-mlogloss:1.178205+0.089039 
## [421]    train-mlogloss:0.002219+0.000027    test-mlogloss:1.177714+0.089543 
## [422]    train-mlogloss:0.002216+0.000026    test-mlogloss:1.178233+0.089307 
## [423]    train-mlogloss:0.002213+0.000026    test-mlogloss:1.178312+0.088614 
## [424]    train-mlogloss:0.002210+0.000026    test-mlogloss:1.178878+0.089125 
## [425]    train-mlogloss:0.002208+0.000026    test-mlogloss:1.179741+0.089466 
## [426]    train-mlogloss:0.002204+0.000026    test-mlogloss:1.179131+0.089080 
## [427]    train-mlogloss:0.002201+0.000026    test-mlogloss:1.179412+0.088659 
## [428]    train-mlogloss:0.002197+0.000027    test-mlogloss:1.179594+0.089197 
## [429]    train-mlogloss:0.002194+0.000027    test-mlogloss:1.179790+0.088928 
## [430]    train-mlogloss:0.002192+0.000027    test-mlogloss:1.179805+0.088306 
## [431]    train-mlogloss:0.002189+0.000027    test-mlogloss:1.179444+0.088579 
## [432]    train-mlogloss:0.002186+0.000026    test-mlogloss:1.179418+0.088280 
## [433]    train-mlogloss:0.002183+0.000026    test-mlogloss:1.180565+0.089061 
## [434]    train-mlogloss:0.002181+0.000026    test-mlogloss:1.180377+0.089377 
## [435]    train-mlogloss:0.002178+0.000025    test-mlogloss:1.180489+0.088903 
## [436]    train-mlogloss:0.002175+0.000025    test-mlogloss:1.180739+0.087918 
## [437]    train-mlogloss:0.002173+0.000025    test-mlogloss:1.181082+0.087232 
## [438]    train-mlogloss:0.002170+0.000025    test-mlogloss:1.180549+0.087875 
## [439]    train-mlogloss:0.002167+0.000025    test-mlogloss:1.181260+0.088992 
## [440]    train-mlogloss:0.002164+0.000025    test-mlogloss:1.181253+0.088293 
## [441]    train-mlogloss:0.002161+0.000026    test-mlogloss:1.181850+0.089190 
## [442]    train-mlogloss:0.002158+0.000025    test-mlogloss:1.182431+0.089823 
## [443]    train-mlogloss:0.002154+0.000025    test-mlogloss:1.182886+0.089580 
## [444]    train-mlogloss:0.002151+0.000025    test-mlogloss:1.183202+0.089347 
## [445]    train-mlogloss:0.002149+0.000025    test-mlogloss:1.183500+0.089209 
## [446]    train-mlogloss:0.002145+0.000024    test-mlogloss:1.183346+0.089011 
## [447]    train-mlogloss:0.002143+0.000024    test-mlogloss:1.182936+0.088436 
## [448]    train-mlogloss:0.002141+0.000024    test-mlogloss:1.182830+0.088739 
## [449]    train-mlogloss:0.002138+0.000024    test-mlogloss:1.182485+0.087942 
## [450]    train-mlogloss:0.002135+0.000024    test-mlogloss:1.183497+0.088331 
## [451]    train-mlogloss:0.002133+0.000024    test-mlogloss:1.183775+0.089081 
## [452]    train-mlogloss:0.002130+0.000023    test-mlogloss:1.183258+0.088474 
## [453]    train-mlogloss:0.002128+0.000024    test-mlogloss:1.183299+0.088232 
## [454]    train-mlogloss:0.002126+0.000024    test-mlogloss:1.184763+0.088776 
## [455]    train-mlogloss:0.002122+0.000023    test-mlogloss:1.184554+0.088415 
## [456]    train-mlogloss:0.002119+0.000024    test-mlogloss:1.185550+0.088734 
## [457]    train-mlogloss:0.002116+0.000024    test-mlogloss:1.186215+0.088500 
## [458]    train-mlogloss:0.002113+0.000023    test-mlogloss:1.186566+0.088741 
## [459]    train-mlogloss:0.002111+0.000023    test-mlogloss:1.186815+0.089028 
## [460]    train-mlogloss:0.002108+0.000024    test-mlogloss:1.186251+0.089131 
## [461]    train-mlogloss:0.002105+0.000024    test-mlogloss:1.186799+0.090060 
## [462]    train-mlogloss:0.002103+0.000023    test-mlogloss:1.186335+0.089854 
## [463]    train-mlogloss:0.002101+0.000024    test-mlogloss:1.187185+0.089661 
## [464]    train-mlogloss:0.002098+0.000023    test-mlogloss:1.187327+0.090033 
## [465]    train-mlogloss:0.002096+0.000024    test-mlogloss:1.187951+0.090039 
## [466]    train-mlogloss:0.002093+0.000024    test-mlogloss:1.187832+0.090306 
## [467]    train-mlogloss:0.002090+0.000023    test-mlogloss:1.187884+0.090404 
## [468]    train-mlogloss:0.002087+0.000023    test-mlogloss:1.187723+0.090791 
## [469]    train-mlogloss:0.002084+0.000023    test-mlogloss:1.188084+0.091173 
## [470]    train-mlogloss:0.002082+0.000023    test-mlogloss:1.188148+0.091483 
## [471]    train-mlogloss:0.002079+0.000023    test-mlogloss:1.189266+0.091195 
## [472]    train-mlogloss:0.002076+0.000023    test-mlogloss:1.189404+0.091468 
## [473]    train-mlogloss:0.002074+0.000023    test-mlogloss:1.189236+0.090840 
## [474]    train-mlogloss:0.002071+0.000023    test-mlogloss:1.188748+0.090317 
## [475]    train-mlogloss:0.002069+0.000024    test-mlogloss:1.189234+0.090672 
## [476]    train-mlogloss:0.002067+0.000023    test-mlogloss:1.189493+0.091152 
## [477]    train-mlogloss:0.002065+0.000023    test-mlogloss:1.189441+0.091962 
## [478]    train-mlogloss:0.002062+0.000023    test-mlogloss:1.189960+0.091904 
## [479]    train-mlogloss:0.002059+0.000023    test-mlogloss:1.190827+0.091651 
## [480]    train-mlogloss:0.002057+0.000024    test-mlogloss:1.190411+0.091301 
## [481]    train-mlogloss:0.002055+0.000023    test-mlogloss:1.190830+0.090847 
## [482]    train-mlogloss:0.002052+0.000024    test-mlogloss:1.191312+0.091507 
## [483]    train-mlogloss:0.002049+0.000023    test-mlogloss:1.191198+0.091346 
## [484]    train-mlogloss:0.002046+0.000024    test-mlogloss:1.191308+0.091729 
## [485]    train-mlogloss:0.002043+0.000024    test-mlogloss:1.191111+0.090788 
## [486]    train-mlogloss:0.002041+0.000024    test-mlogloss:1.190911+0.091080 
## [487]    train-mlogloss:0.002038+0.000024    test-mlogloss:1.190720+0.090921 
## [488]    train-mlogloss:0.002035+0.000024    test-mlogloss:1.191042+0.090422 
## [489]    train-mlogloss:0.002032+0.000024    test-mlogloss:1.190983+0.091256 
## [490]    train-mlogloss:0.002030+0.000024    test-mlogloss:1.191325+0.090800 
## [491]    train-mlogloss:0.002028+0.000024    test-mlogloss:1.191413+0.091603 
## [492]    train-mlogloss:0.002025+0.000024    test-mlogloss:1.191639+0.092205 
## [493]    train-mlogloss:0.002022+0.000024    test-mlogloss:1.191807+0.092805 
## [494]    train-mlogloss:0.002020+0.000024    test-mlogloss:1.192165+0.092688 
## [495]    train-mlogloss:0.002018+0.000024    test-mlogloss:1.192345+0.093236 
## [496]    train-mlogloss:0.002016+0.000024    test-mlogloss:1.192559+0.092663 
## [497]    train-mlogloss:0.002013+0.000023    test-mlogloss:1.193789+0.092747 
## [498]    train-mlogloss:0.002011+0.000023    test-mlogloss:1.193631+0.092347 
## [499]    train-mlogloss:0.002009+0.000024    test-mlogloss:1.193280+0.092773 
## [500]    train-mlogloss:0.002007+0.000024    test-mlogloss:1.193507+0.092551 
## [1]  train-mlogloss:0.524279+0.003861    test-mlogloss:0.548721+0.011473 
## [2]  train-mlogloss:0.503556+0.004263    test-mlogloss:0.545526+0.013177 
## [3]  train-mlogloss:0.492868+0.004614    test-mlogloss:0.550098+0.012296 
## [4]  train-mlogloss:0.481530+0.003965    test-mlogloss:0.554177+0.014439 
## [5]  train-mlogloss:0.472628+0.002182    test-mlogloss:0.560851+0.014651 
## [6]  train-mlogloss:0.461937+0.002263    test-mlogloss:0.568292+0.014754 
## [7]  train-mlogloss:0.451805+0.003531    test-mlogloss:0.573920+0.016657 
## [8]  train-mlogloss:0.442755+0.003729    test-mlogloss:0.577816+0.014149 
## [9]  train-mlogloss:0.432811+0.003250    test-mlogloss:0.581652+0.016967 
## [10] train-mlogloss:0.424612+0.004172    test-mlogloss:0.588304+0.018736 
## [11] train-mlogloss:0.416194+0.003866    test-mlogloss:0.595019+0.020011 
## [12] train-mlogloss:0.407231+0.004995    test-mlogloss:0.598991+0.018723 
## [13] train-mlogloss:0.398428+0.004342    test-mlogloss:0.603434+0.016638 
## [14] train-mlogloss:0.390817+0.003622    test-mlogloss:0.609546+0.016601 
## [15] train-mlogloss:0.385087+0.004260    test-mlogloss:0.611993+0.017960 
## [16] train-mlogloss:0.377032+0.005295    test-mlogloss:0.616201+0.018735 
## [17] train-mlogloss:0.369961+0.005077    test-mlogloss:0.622336+0.021116 
## [18] train-mlogloss:0.362155+0.005902    test-mlogloss:0.627641+0.024297 
## [19] train-mlogloss:0.355372+0.005564    test-mlogloss:0.632330+0.026306 
## [20] train-mlogloss:0.347957+0.005725    test-mlogloss:0.639675+0.028923 
## [21] train-mlogloss:0.341200+0.004276    test-mlogloss:0.643068+0.028416 
## [22] train-mlogloss:0.335405+0.004190    test-mlogloss:0.649065+0.025449 
## [23] train-mlogloss:0.328832+0.002726    test-mlogloss:0.652996+0.026617 
## [24] train-mlogloss:0.321768+0.002911    test-mlogloss:0.657658+0.027533 
## [25] train-mlogloss:0.315784+0.002773    test-mlogloss:0.662825+0.027853 
## [26] train-mlogloss:0.309060+0.003577    test-mlogloss:0.667091+0.030766 
## [27] train-mlogloss:0.303445+0.003274    test-mlogloss:0.669506+0.030963 
## [28] train-mlogloss:0.297502+0.003131    test-mlogloss:0.674619+0.032467 
## [29] train-mlogloss:0.291739+0.002916    test-mlogloss:0.678589+0.036925 
## [30] train-mlogloss:0.285756+0.003531    test-mlogloss:0.682446+0.035418 
## [31] train-mlogloss:0.280667+0.003641    test-mlogloss:0.686854+0.036190 
## [32] train-mlogloss:0.275731+0.002857    test-mlogloss:0.689535+0.036045 
## [33] train-mlogloss:0.270026+0.002958    test-mlogloss:0.693957+0.036759 
## [34] train-mlogloss:0.264789+0.003350    test-mlogloss:0.696432+0.036159 
## [35] train-mlogloss:0.259246+0.003501    test-mlogloss:0.703506+0.034978 
## [36] train-mlogloss:0.254760+0.002972    test-mlogloss:0.706454+0.037318 
## [37] train-mlogloss:0.249289+0.003275    test-mlogloss:0.711043+0.036914 
## [38] train-mlogloss:0.244136+0.002929    test-mlogloss:0.716602+0.039115 
## [39] train-mlogloss:0.238813+0.003494    test-mlogloss:0.722159+0.039514 
## [40] train-mlogloss:0.233432+0.003395    test-mlogloss:0.726929+0.040009 
## [41] train-mlogloss:0.228841+0.002696    test-mlogloss:0.730494+0.041354 
## [42] train-mlogloss:0.223944+0.002672    test-mlogloss:0.733632+0.042816 
## [43] train-mlogloss:0.218934+0.002813    test-mlogloss:0.737457+0.044073 
## [44] train-mlogloss:0.214050+0.003414    test-mlogloss:0.739507+0.045868 
## [45] train-mlogloss:0.209875+0.003348    test-mlogloss:0.747471+0.047140 
## [46] train-mlogloss:0.205604+0.003365    test-mlogloss:0.750971+0.048498 
## [47] train-mlogloss:0.201615+0.003323    test-mlogloss:0.754861+0.047555 
## [48] train-mlogloss:0.197228+0.003256    test-mlogloss:0.761052+0.047299 
## [49] train-mlogloss:0.193106+0.003666    test-mlogloss:0.766919+0.045243 
## [50] train-mlogloss:0.188934+0.003272    test-mlogloss:0.769987+0.047240 
## [51] train-mlogloss:0.184834+0.002981    test-mlogloss:0.774549+0.050549 
## [52] train-mlogloss:0.181298+0.002484    test-mlogloss:0.774181+0.050306 
## [53] train-mlogloss:0.177788+0.002274    test-mlogloss:0.777845+0.048266 
## [54] train-mlogloss:0.173634+0.002832    test-mlogloss:0.780336+0.047578 
## [55] train-mlogloss:0.170031+0.003333    test-mlogloss:0.787338+0.046642 
## [56] train-mlogloss:0.166680+0.003648    test-mlogloss:0.790760+0.046398 
## [57] train-mlogloss:0.162679+0.003514    test-mlogloss:0.795580+0.049232 
## [58] train-mlogloss:0.159355+0.003489    test-mlogloss:0.798535+0.044827 
## [59] train-mlogloss:0.156129+0.002930    test-mlogloss:0.803249+0.045154 
## [60] train-mlogloss:0.152886+0.003183    test-mlogloss:0.802077+0.045204 
## [61] train-mlogloss:0.149146+0.003242    test-mlogloss:0.804649+0.042759 
## [62] train-mlogloss:0.146197+0.003436    test-mlogloss:0.808998+0.045065 
## [63] train-mlogloss:0.143429+0.002948    test-mlogloss:0.811321+0.044945 
## [64] train-mlogloss:0.140424+0.002923    test-mlogloss:0.816496+0.045414 
## [65] train-mlogloss:0.137581+0.002835    test-mlogloss:0.818929+0.047573 
## [66] train-mlogloss:0.135104+0.002802    test-mlogloss:0.824039+0.050306 
## [67] train-mlogloss:0.132767+0.003037    test-mlogloss:0.826163+0.050690 
## [68] train-mlogloss:0.130259+0.002915    test-mlogloss:0.828304+0.052691 
## [69] train-mlogloss:0.127945+0.003350    test-mlogloss:0.834010+0.055243 
## [70] train-mlogloss:0.125372+0.003362    test-mlogloss:0.838628+0.058222 
## [71] train-mlogloss:0.123009+0.003377    test-mlogloss:0.839817+0.058684 
## [72] train-mlogloss:0.120473+0.003329    test-mlogloss:0.843482+0.059529 
## [73] train-mlogloss:0.118219+0.002909    test-mlogloss:0.847211+0.057929 
## [74] train-mlogloss:0.115695+0.003208    test-mlogloss:0.848836+0.058108 
## [75] train-mlogloss:0.113416+0.002897    test-mlogloss:0.851662+0.059885 
## [76] train-mlogloss:0.111437+0.002720    test-mlogloss:0.855651+0.059335 
## [77] train-mlogloss:0.109301+0.002207    test-mlogloss:0.860132+0.058028 
## [78] train-mlogloss:0.107542+0.002364    test-mlogloss:0.863688+0.057110 
## [79] train-mlogloss:0.105708+0.002084    test-mlogloss:0.864495+0.055909 
## [80] train-mlogloss:0.103896+0.001915    test-mlogloss:0.869070+0.055840 
## [81] train-mlogloss:0.102117+0.001987    test-mlogloss:0.872780+0.055667 
## [82] train-mlogloss:0.100289+0.001880    test-mlogloss:0.874307+0.057420 
## [83] train-mlogloss:0.098286+0.001726    test-mlogloss:0.877529+0.059728 
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## [87] train-mlogloss:0.092175+0.001732    test-mlogloss:0.886151+0.065193 
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## [477]    train-mlogloss:0.003636+0.000071    test-mlogloss:1.370002+0.095526 
## [478]    train-mlogloss:0.003624+0.000069    test-mlogloss:1.370063+0.095076 
## [479]    train-mlogloss:0.003615+0.000070    test-mlogloss:1.371149+0.096493 
## [480]    train-mlogloss:0.003605+0.000070    test-mlogloss:1.372784+0.096882 
## [481]    train-mlogloss:0.003593+0.000068    test-mlogloss:1.372399+0.097092 
## [482]    train-mlogloss:0.003583+0.000068    test-mlogloss:1.372733+0.097545 
## [483]    train-mlogloss:0.003571+0.000070    test-mlogloss:1.374010+0.097807 
## [484]    train-mlogloss:0.003559+0.000071    test-mlogloss:1.374786+0.096640 
## [485]    train-mlogloss:0.003547+0.000071    test-mlogloss:1.375379+0.097458 
## [486]    train-mlogloss:0.003537+0.000071    test-mlogloss:1.375035+0.097311 
## [487]    train-mlogloss:0.003524+0.000069    test-mlogloss:1.375540+0.096942 
## [488]    train-mlogloss:0.003517+0.000068    test-mlogloss:1.376620+0.097999 
## [489]    train-mlogloss:0.003510+0.000069    test-mlogloss:1.377955+0.097338 
## [490]    train-mlogloss:0.003500+0.000069    test-mlogloss:1.378320+0.096753 
## [491]    train-mlogloss:0.003490+0.000070    test-mlogloss:1.378131+0.096278 
## [492]    train-mlogloss:0.003480+0.000070    test-mlogloss:1.379361+0.096260 
## [493]    train-mlogloss:0.003472+0.000070    test-mlogloss:1.378424+0.094850 
## [494]    train-mlogloss:0.003460+0.000070    test-mlogloss:1.379754+0.095293 
## [495]    train-mlogloss:0.003452+0.000068    test-mlogloss:1.380566+0.095018 
## [496]    train-mlogloss:0.003442+0.000068    test-mlogloss:1.381141+0.093689 
## [497]    train-mlogloss:0.003435+0.000068    test-mlogloss:1.381717+0.094314 
## [498]    train-mlogloss:0.003426+0.000068    test-mlogloss:1.382633+0.093712 
## [499]    train-mlogloss:0.003417+0.000068    test-mlogloss:1.383126+0.094114 
## [500]    train-mlogloss:0.003407+0.000066    test-mlogloss:1.382846+0.094868 
## [1]  train-mlogloss:0.378327+0.003615    test-mlogloss:0.618943+0.010755 
## [2]  train-mlogloss:0.263824+0.004444    test-mlogloss:0.652498+0.014996 
## [3]  train-mlogloss:0.195795+0.001338    test-mlogloss:0.687285+0.011734 
## [4]  train-mlogloss:0.153688+0.004833    test-mlogloss:0.716327+0.011879 
## [5]  train-mlogloss:0.121976+0.004776    test-mlogloss:0.745060+0.013267 
## [6]  train-mlogloss:0.098093+0.004371    test-mlogloss:0.766291+0.008278 
## [7]  train-mlogloss:0.080756+0.003111    test-mlogloss:0.786962+0.009604 
## [8]  train-mlogloss:0.068706+0.002497    test-mlogloss:0.806997+0.004702 
## [9]  train-mlogloss:0.059124+0.001977    test-mlogloss:0.823165+0.006732 
## [10] train-mlogloss:0.051523+0.001533    test-mlogloss:0.837242+0.009656 
## [11] train-mlogloss:0.045581+0.001485    test-mlogloss:0.853509+0.010126 
## [12] train-mlogloss:0.040781+0.001250    test-mlogloss:0.863235+0.008883 
## [13] train-mlogloss:0.036867+0.000940    test-mlogloss:0.873220+0.010336 
## [14] train-mlogloss:0.033583+0.000827    test-mlogloss:0.878520+0.011380 
## [15] train-mlogloss:0.030870+0.000611    test-mlogloss:0.886714+0.009772 
## [16] train-mlogloss:0.028583+0.000589    test-mlogloss:0.892275+0.007435 
## [17] train-mlogloss:0.026511+0.000527    test-mlogloss:0.900457+0.007300 
## [18] train-mlogloss:0.024845+0.000488    test-mlogloss:0.908270+0.010518 
## [19] train-mlogloss:0.023353+0.000404    test-mlogloss:0.916177+0.009894 
## [20] train-mlogloss:0.022040+0.000377    test-mlogloss:0.922687+0.011709 
## [21] train-mlogloss:0.020805+0.000333    test-mlogloss:0.926378+0.012788 
## [22] train-mlogloss:0.019736+0.000334    test-mlogloss:0.930381+0.013646 
## [23] train-mlogloss:0.018731+0.000292    test-mlogloss:0.936900+0.014314 
## [24] train-mlogloss:0.017919+0.000261    test-mlogloss:0.940902+0.015959 
## [25] train-mlogloss:0.017193+0.000262    test-mlogloss:0.945047+0.014307 
## [26] train-mlogloss:0.016506+0.000245    test-mlogloss:0.949908+0.013356 
## [27] train-mlogloss:0.015886+0.000227    test-mlogloss:0.954170+0.012042 
## [28] train-mlogloss:0.015294+0.000226    test-mlogloss:0.958577+0.012797 
## [29] train-mlogloss:0.014770+0.000184    test-mlogloss:0.965100+0.011934 
## [30] train-mlogloss:0.014246+0.000137    test-mlogloss:0.970197+0.013254 
## [31] train-mlogloss:0.013786+0.000126    test-mlogloss:0.975518+0.013142 
## [32] train-mlogloss:0.013347+0.000150    test-mlogloss:0.978493+0.014583 
## [33] train-mlogloss:0.012954+0.000149    test-mlogloss:0.980102+0.014137 
## [34] train-mlogloss:0.012592+0.000154    test-mlogloss:0.984313+0.012489 
## [35] train-mlogloss:0.012242+0.000151    test-mlogloss:0.988840+0.014446 
## [36] train-mlogloss:0.011923+0.000155    test-mlogloss:0.990363+0.014709 
## [37] train-mlogloss:0.011620+0.000128    test-mlogloss:0.993317+0.015323 
## [38] train-mlogloss:0.011333+0.000140    test-mlogloss:0.997728+0.015487 
## [39] train-mlogloss:0.011053+0.000117    test-mlogloss:0.999499+0.016228 
## [40] train-mlogloss:0.010796+0.000115    test-mlogloss:1.002828+0.016322 
## [41] train-mlogloss:0.010553+0.000106    test-mlogloss:1.008215+0.015419 
## [42] train-mlogloss:0.010328+0.000103    test-mlogloss:1.010117+0.016776 
## [43] train-mlogloss:0.010116+0.000116    test-mlogloss:1.014410+0.016879 
## [44] train-mlogloss:0.009902+0.000107    test-mlogloss:1.017543+0.017935 
## [45] train-mlogloss:0.009705+0.000095    test-mlogloss:1.020369+0.016348 
## [46] train-mlogloss:0.009511+0.000089    test-mlogloss:1.022622+0.014855 
## [47] train-mlogloss:0.009317+0.000096    test-mlogloss:1.025371+0.016324 
## [48] train-mlogloss:0.009145+0.000096    test-mlogloss:1.026736+0.018343 
## [49] train-mlogloss:0.008985+0.000088    test-mlogloss:1.029939+0.019590 
## [50] train-mlogloss:0.008829+0.000086    test-mlogloss:1.031700+0.018778 
## [51] train-mlogloss:0.008665+0.000092    test-mlogloss:1.033439+0.018191 
## [52] train-mlogloss:0.008512+0.000090    test-mlogloss:1.036671+0.018794 
## [53] train-mlogloss:0.008370+0.000088    test-mlogloss:1.038552+0.019140 
## [54] train-mlogloss:0.008234+0.000074    test-mlogloss:1.039810+0.019310 
## [55] train-mlogloss:0.008102+0.000080    test-mlogloss:1.040837+0.018860 
## [56] train-mlogloss:0.007963+0.000077    test-mlogloss:1.044562+0.019708 
## [57] train-mlogloss:0.007836+0.000079    test-mlogloss:1.045528+0.020612 
## [58] train-mlogloss:0.007717+0.000078    test-mlogloss:1.046836+0.021276 
## [59] train-mlogloss:0.007600+0.000071    test-mlogloss:1.050150+0.021221 
## [60] train-mlogloss:0.007483+0.000076    test-mlogloss:1.051217+0.021872 
## [61] train-mlogloss:0.007378+0.000079    test-mlogloss:1.053005+0.022583 
## [62] train-mlogloss:0.007286+0.000078    test-mlogloss:1.053734+0.021941 
## [63] train-mlogloss:0.007189+0.000065    test-mlogloss:1.054842+0.022279 
## [64] train-mlogloss:0.007097+0.000056    test-mlogloss:1.057134+0.022954 
## [65] train-mlogloss:0.007004+0.000045    test-mlogloss:1.059037+0.022372 
## [66] train-mlogloss:0.006915+0.000052    test-mlogloss:1.061148+0.022370 
## [67] train-mlogloss:0.006835+0.000055    test-mlogloss:1.062650+0.021419 
## [68] train-mlogloss:0.006756+0.000052    test-mlogloss:1.063500+0.020251 
## [69] train-mlogloss:0.006679+0.000051    test-mlogloss:1.064147+0.020235 
## [70] train-mlogloss:0.006606+0.000060    test-mlogloss:1.065906+0.020467 
## [71] train-mlogloss:0.006528+0.000066    test-mlogloss:1.068356+0.019433 
## [72] train-mlogloss:0.006455+0.000065    test-mlogloss:1.069231+0.018402 
## [73] train-mlogloss:0.006382+0.000061    test-mlogloss:1.071508+0.019096 
## [74] train-mlogloss:0.006316+0.000066    test-mlogloss:1.072798+0.019679 
## [75] train-mlogloss:0.006246+0.000067    test-mlogloss:1.072994+0.019988 
## [76] train-mlogloss:0.006187+0.000064    test-mlogloss:1.073866+0.020483 
## [77] train-mlogloss:0.006123+0.000058    test-mlogloss:1.074752+0.020891 
## [78] train-mlogloss:0.006063+0.000058    test-mlogloss:1.077185+0.019205 
## [79] train-mlogloss:0.006002+0.000056    test-mlogloss:1.078093+0.019682 
## [80] train-mlogloss:0.005944+0.000064    test-mlogloss:1.078452+0.020415 
## [81] train-mlogloss:0.005882+0.000065    test-mlogloss:1.078413+0.021584 
## [82] train-mlogloss:0.005819+0.000063    test-mlogloss:1.078565+0.021385 
## [83] train-mlogloss:0.005762+0.000065    test-mlogloss:1.080439+0.022165 
## [84] train-mlogloss:0.005703+0.000062    test-mlogloss:1.080797+0.020949 
## [85] train-mlogloss:0.005649+0.000063    test-mlogloss:1.082610+0.020916 
## [86] train-mlogloss:0.005603+0.000055    test-mlogloss:1.084789+0.020909 
## [87] train-mlogloss:0.005550+0.000061    test-mlogloss:1.085517+0.021198 
## [88] train-mlogloss:0.005504+0.000057    test-mlogloss:1.088352+0.021570 
## [89] train-mlogloss:0.005463+0.000058    test-mlogloss:1.089782+0.021377 
## [90] train-mlogloss:0.005412+0.000054    test-mlogloss:1.090275+0.021851 
## [91] train-mlogloss:0.005361+0.000052    test-mlogloss:1.091361+0.023219 
## [92] train-mlogloss:0.005319+0.000052    test-mlogloss:1.092181+0.021470 
## [93] train-mlogloss:0.005275+0.000051    test-mlogloss:1.093482+0.022181 
## [94] train-mlogloss:0.005231+0.000052    test-mlogloss:1.095167+0.022078 
## [95] train-mlogloss:0.005190+0.000049    test-mlogloss:1.098526+0.021593 
## [96] train-mlogloss:0.005149+0.000046    test-mlogloss:1.099061+0.022108 
## [97] train-mlogloss:0.005108+0.000045    test-mlogloss:1.099620+0.022933 
## [98] train-mlogloss:0.005068+0.000047    test-mlogloss:1.101416+0.021889 
## [99] train-mlogloss:0.005029+0.000046    test-mlogloss:1.101713+0.022378 
## [100]    train-mlogloss:0.004991+0.000045    test-mlogloss:1.102223+0.022080 
## [101]    train-mlogloss:0.004950+0.000046    test-mlogloss:1.104514+0.021779 
## [102]    train-mlogloss:0.004914+0.000046    test-mlogloss:1.104607+0.023539 
## [103]    train-mlogloss:0.004883+0.000046    test-mlogloss:1.104292+0.022932 
## [104]    train-mlogloss:0.004849+0.000050    test-mlogloss:1.106357+0.023310 
## [105]    train-mlogloss:0.004815+0.000048    test-mlogloss:1.107587+0.024009 
## [106]    train-mlogloss:0.004784+0.000050    test-mlogloss:1.108851+0.024286 
## [107]    train-mlogloss:0.004751+0.000048    test-mlogloss:1.110497+0.024189 
## [108]    train-mlogloss:0.004719+0.000049    test-mlogloss:1.110909+0.025014 
## [109]    train-mlogloss:0.004687+0.000047    test-mlogloss:1.112323+0.024200 
## [110]    train-mlogloss:0.004658+0.000050    test-mlogloss:1.113268+0.024055 
## [111]    train-mlogloss:0.004634+0.000047    test-mlogloss:1.113808+0.024740 
## [112]    train-mlogloss:0.004604+0.000047    test-mlogloss:1.115029+0.025956 
## [113]    train-mlogloss:0.004573+0.000046    test-mlogloss:1.116537+0.026652 
## [114]    train-mlogloss:0.004538+0.000042    test-mlogloss:1.118278+0.027029 
## [115]    train-mlogloss:0.004511+0.000044    test-mlogloss:1.119121+0.027455 
## [116]    train-mlogloss:0.004480+0.000041    test-mlogloss:1.120623+0.026768 
## [117]    train-mlogloss:0.004453+0.000045    test-mlogloss:1.120601+0.026345 
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## [394]    train-mlogloss:0.002015+0.000012    test-mlogloss:1.242242+0.034140 
## [395]    train-mlogloss:0.002013+0.000013    test-mlogloss:1.242550+0.034297 
## [396]    train-mlogloss:0.002010+0.000012    test-mlogloss:1.242220+0.033481 
## [397]    train-mlogloss:0.002007+0.000012    test-mlogloss:1.242453+0.034368 
## [398]    train-mlogloss:0.002004+0.000012    test-mlogloss:1.243264+0.034940 
## [399]    train-mlogloss:0.002002+0.000011    test-mlogloss:1.242835+0.034224 
## [400]    train-mlogloss:0.001998+0.000011    test-mlogloss:1.243034+0.034339 
## [401]    train-mlogloss:0.001996+0.000011    test-mlogloss:1.244045+0.034784 
## [402]    train-mlogloss:0.001993+0.000011    test-mlogloss:1.244718+0.034597 
## [403]    train-mlogloss:0.001991+0.000010    test-mlogloss:1.245041+0.034747 
## [404]    train-mlogloss:0.001988+0.000010    test-mlogloss:1.245749+0.035035 
## [405]    train-mlogloss:0.001985+0.000009    test-mlogloss:1.245263+0.035291 
## [406]    train-mlogloss:0.001982+0.000009    test-mlogloss:1.245798+0.034043 
## [407]    train-mlogloss:0.001980+0.000008    test-mlogloss:1.246530+0.034156 
## [408]    train-mlogloss:0.001977+0.000008    test-mlogloss:1.246403+0.034189 
## [409]    train-mlogloss:0.001975+0.000008    test-mlogloss:1.245917+0.033755 
## [410]    train-mlogloss:0.001971+0.000009    test-mlogloss:1.245830+0.034271 
## [411]    train-mlogloss:0.001968+0.000009    test-mlogloss:1.246242+0.034148 
## [412]    train-mlogloss:0.001966+0.000008    test-mlogloss:1.246451+0.035257 
## [413]    train-mlogloss:0.001964+0.000008    test-mlogloss:1.247117+0.034753 
## [414]    train-mlogloss:0.001960+0.000008    test-mlogloss:1.247843+0.034487 
## [415]    train-mlogloss:0.001958+0.000009    test-mlogloss:1.247942+0.035278 
## [416]    train-mlogloss:0.001956+0.000010    test-mlogloss:1.247979+0.035140 
## [417]    train-mlogloss:0.001953+0.000009    test-mlogloss:1.247573+0.034358 
## [418]    train-mlogloss:0.001950+0.000009    test-mlogloss:1.248735+0.035186 
## [419]    train-mlogloss:0.001947+0.000008    test-mlogloss:1.249899+0.035589 
## [420]    train-mlogloss:0.001944+0.000008    test-mlogloss:1.249502+0.036018 
## [421]    train-mlogloss:0.001942+0.000008    test-mlogloss:1.249962+0.036117 
## [422]    train-mlogloss:0.001939+0.000009    test-mlogloss:1.250007+0.036044 
## [423]    train-mlogloss:0.001937+0.000009    test-mlogloss:1.249522+0.037192 
## [424]    train-mlogloss:0.001934+0.000009    test-mlogloss:1.250051+0.036268 
## [425]    train-mlogloss:0.001932+0.000009    test-mlogloss:1.250922+0.036041 
## [426]    train-mlogloss:0.001929+0.000009    test-mlogloss:1.250547+0.035797 
## [427]    train-mlogloss:0.001927+0.000010    test-mlogloss:1.251195+0.035335 
## [428]    train-mlogloss:0.001924+0.000009    test-mlogloss:1.251755+0.035450 
## [429]    train-mlogloss:0.001922+0.000010    test-mlogloss:1.252429+0.035534 
## [430]    train-mlogloss:0.001919+0.000010    test-mlogloss:1.252967+0.036168 
## [431]    train-mlogloss:0.001917+0.000010    test-mlogloss:1.253305+0.037456 
## [432]    train-mlogloss:0.001914+0.000010    test-mlogloss:1.252778+0.036729 
## [433]    train-mlogloss:0.001911+0.000011    test-mlogloss:1.253090+0.036042 
## [434]    train-mlogloss:0.001908+0.000011    test-mlogloss:1.252500+0.036051 
## [435]    train-mlogloss:0.001906+0.000011    test-mlogloss:1.253029+0.035999 
## [436]    train-mlogloss:0.001904+0.000010    test-mlogloss:1.253252+0.035650 
## [437]    train-mlogloss:0.001901+0.000011    test-mlogloss:1.253092+0.035416 
## [438]    train-mlogloss:0.001898+0.000011    test-mlogloss:1.253816+0.035313 
## [439]    train-mlogloss:0.001896+0.000011    test-mlogloss:1.253070+0.035102 
## [440]    train-mlogloss:0.001894+0.000011    test-mlogloss:1.253423+0.035493 
## [441]    train-mlogloss:0.001891+0.000010    test-mlogloss:1.253805+0.035439 
## [442]    train-mlogloss:0.001889+0.000011    test-mlogloss:1.253173+0.035820 
## [443]    train-mlogloss:0.001887+0.000011    test-mlogloss:1.254475+0.036269 
## [444]    train-mlogloss:0.001884+0.000010    test-mlogloss:1.254137+0.035807 
## [445]    train-mlogloss:0.001882+0.000010    test-mlogloss:1.253915+0.036917 
## [446]    train-mlogloss:0.001880+0.000010    test-mlogloss:1.255225+0.037100 
## [447]    train-mlogloss:0.001877+0.000010    test-mlogloss:1.254974+0.035742 
## [448]    train-mlogloss:0.001876+0.000009    test-mlogloss:1.256736+0.036377 
## [449]    train-mlogloss:0.001873+0.000010    test-mlogloss:1.256285+0.036182 
## [450]    train-mlogloss:0.001871+0.000009    test-mlogloss:1.255554+0.036683 
## [451]    train-mlogloss:0.001869+0.000009    test-mlogloss:1.256095+0.037443 
## [452]    train-mlogloss:0.001868+0.000010    test-mlogloss:1.255888+0.037871 
## [453]    train-mlogloss:0.001865+0.000010    test-mlogloss:1.255687+0.037392 
## [454]    train-mlogloss:0.001863+0.000010    test-mlogloss:1.256012+0.037137 
## [455]    train-mlogloss:0.001860+0.000011    test-mlogloss:1.256858+0.037738 
## [456]    train-mlogloss:0.001858+0.000010    test-mlogloss:1.257925+0.037434 
## [457]    train-mlogloss:0.001856+0.000010    test-mlogloss:1.257826+0.036293 
## [458]    train-mlogloss:0.001854+0.000011    test-mlogloss:1.257779+0.037123 
## [459]    train-mlogloss:0.001851+0.000011    test-mlogloss:1.258465+0.036851 
## [460]    train-mlogloss:0.001849+0.000011    test-mlogloss:1.258309+0.036259 
## [461]    train-mlogloss:0.001847+0.000011    test-mlogloss:1.259236+0.035494 
## [462]    train-mlogloss:0.001844+0.000011    test-mlogloss:1.259439+0.035594 
## [463]    train-mlogloss:0.001842+0.000011    test-mlogloss:1.259866+0.035587 
## [464]    train-mlogloss:0.001840+0.000011    test-mlogloss:1.261294+0.036211 
## [465]    train-mlogloss:0.001838+0.000012    test-mlogloss:1.260350+0.036461 
## [466]    train-mlogloss:0.001836+0.000011    test-mlogloss:1.260855+0.036422 
## [467]    train-mlogloss:0.001834+0.000013    test-mlogloss:1.261148+0.036859 
## [468]    train-mlogloss:0.001832+0.000012    test-mlogloss:1.260764+0.037212 
## [469]    train-mlogloss:0.001831+0.000012    test-mlogloss:1.261542+0.037867 
## [470]    train-mlogloss:0.001828+0.000012    test-mlogloss:1.261501+0.038507 
## [471]    train-mlogloss:0.001826+0.000012    test-mlogloss:1.261910+0.038611 
## [472]    train-mlogloss:0.001824+0.000012    test-mlogloss:1.261954+0.038295 
## [473]    train-mlogloss:0.001821+0.000012    test-mlogloss:1.261582+0.038680 
## [474]    train-mlogloss:0.001819+0.000012    test-mlogloss:1.260860+0.038211 
## [475]    train-mlogloss:0.001816+0.000012    test-mlogloss:1.262202+0.038651 
## [476]    train-mlogloss:0.001815+0.000012    test-mlogloss:1.262116+0.038168 
## [477]    train-mlogloss:0.001812+0.000013    test-mlogloss:1.262343+0.038528 
## [478]    train-mlogloss:0.001810+0.000012    test-mlogloss:1.262577+0.038468 
## [479]    train-mlogloss:0.001808+0.000012    test-mlogloss:1.262362+0.037610 
## [480]    train-mlogloss:0.001806+0.000012    test-mlogloss:1.262655+0.037118 
## [481]    train-mlogloss:0.001804+0.000012    test-mlogloss:1.262593+0.037235 
## [482]    train-mlogloss:0.001801+0.000012    test-mlogloss:1.263047+0.037869 
## [483]    train-mlogloss:0.001799+0.000012    test-mlogloss:1.263136+0.037782 
## [484]    train-mlogloss:0.001797+0.000013    test-mlogloss:1.263645+0.038012 
## [485]    train-mlogloss:0.001795+0.000013    test-mlogloss:1.263595+0.037757 
## [486]    train-mlogloss:0.001793+0.000013    test-mlogloss:1.263321+0.037660 
## [487]    train-mlogloss:0.001790+0.000012    test-mlogloss:1.264480+0.037864 
## [488]    train-mlogloss:0.001788+0.000011    test-mlogloss:1.264790+0.037659 
## [489]    train-mlogloss:0.001786+0.000012    test-mlogloss:1.265404+0.037280 
## [490]    train-mlogloss:0.001784+0.000012    test-mlogloss:1.266175+0.036547 
## [491]    train-mlogloss:0.001782+0.000012    test-mlogloss:1.266509+0.036424 
## [492]    train-mlogloss:0.001781+0.000011    test-mlogloss:1.265955+0.036295 
## [493]    train-mlogloss:0.001779+0.000012    test-mlogloss:1.265971+0.036242 
## [494]    train-mlogloss:0.001776+0.000012    test-mlogloss:1.266451+0.036317 
## [495]    train-mlogloss:0.001775+0.000011    test-mlogloss:1.266325+0.037193 
## [496]    train-mlogloss:0.001773+0.000012    test-mlogloss:1.265983+0.036748 
## [497]    train-mlogloss:0.001771+0.000012    test-mlogloss:1.267373+0.036722 
## [498]    train-mlogloss:0.001769+0.000012    test-mlogloss:1.266710+0.036395 
## [499]    train-mlogloss:0.001766+0.000011    test-mlogloss:1.266374+0.036782 
## [500]    train-mlogloss:0.001765+0.000011    test-mlogloss:1.266358+0.036804 
## [1]  train-mlogloss:0.613909+0.000772    test-mlogloss:0.621440+0.001830 
## [2]  train-mlogloss:0.569720+0.001291    test-mlogloss:0.583227+0.003793 
## [3]  train-mlogloss:0.541920+0.001672    test-mlogloss:0.561834+0.005199 
## [4]  train-mlogloss:0.523571+0.001797    test-mlogloss:0.549646+0.005338 
## [5]  train-mlogloss:0.510900+0.001799    test-mlogloss:0.542345+0.005670 
## [6]  train-mlogloss:0.501551+0.002181    test-mlogloss:0.538598+0.005967 
## [7]  train-mlogloss:0.494412+0.002281    test-mlogloss:0.536290+0.006765 
## [8]  train-mlogloss:0.488496+0.001968    test-mlogloss:0.534766+0.006684 
## [9]  train-mlogloss:0.483670+0.001990    test-mlogloss:0.533990+0.007597 
## [10] train-mlogloss:0.479125+0.001986    test-mlogloss:0.533998+0.008529 
## [11] train-mlogloss:0.475340+0.002054    test-mlogloss:0.534170+0.008653 
## [12] train-mlogloss:0.472236+0.002030    test-mlogloss:0.534626+0.008595 
## [13] train-mlogloss:0.469337+0.001672    test-mlogloss:0.534485+0.008848 
## [14] train-mlogloss:0.466144+0.001624    test-mlogloss:0.534572+0.009301 
## [15] train-mlogloss:0.462911+0.001783    test-mlogloss:0.534793+0.009254 
## [16] train-mlogloss:0.459566+0.002075    test-mlogloss:0.535226+0.009490 
## [17] train-mlogloss:0.456159+0.002094    test-mlogloss:0.536182+0.009947 
## [18] train-mlogloss:0.452760+0.001785    test-mlogloss:0.536949+0.010229 
## [19] train-mlogloss:0.449883+0.002569    test-mlogloss:0.537699+0.010358 
## [20] train-mlogloss:0.446417+0.002375    test-mlogloss:0.538051+0.010315 
## [21] train-mlogloss:0.443731+0.002064    test-mlogloss:0.538564+0.010139 
## [22] train-mlogloss:0.441003+0.002402    test-mlogloss:0.538983+0.010207 
## [23] train-mlogloss:0.437999+0.002739    test-mlogloss:0.539308+0.009914 
## [24] train-mlogloss:0.435040+0.002297    test-mlogloss:0.539803+0.009990 
## [25] train-mlogloss:0.431489+0.002275    test-mlogloss:0.541137+0.009980 
## [26] train-mlogloss:0.428446+0.002409    test-mlogloss:0.541990+0.010172 
## [27] train-mlogloss:0.425313+0.002737    test-mlogloss:0.542354+0.010072 
## [28] train-mlogloss:0.423235+0.003330    test-mlogloss:0.542517+0.010233 
## [29] train-mlogloss:0.419975+0.003311    test-mlogloss:0.543335+0.010612 
## [30] train-mlogloss:0.416652+0.003225    test-mlogloss:0.543358+0.010302 
## [31] train-mlogloss:0.413968+0.003299    test-mlogloss:0.543587+0.011044 
## [32] train-mlogloss:0.410918+0.002937    test-mlogloss:0.544346+0.011197 
## [33] train-mlogloss:0.408027+0.002656    test-mlogloss:0.545317+0.011577 
## [34] train-mlogloss:0.405164+0.002619    test-mlogloss:0.546255+0.012064 
## [35] train-mlogloss:0.402135+0.003198    test-mlogloss:0.546920+0.012359 
## [36] train-mlogloss:0.398614+0.002760    test-mlogloss:0.548023+0.012024 
## [37] train-mlogloss:0.396219+0.002836    test-mlogloss:0.548488+0.012370 
## [38] train-mlogloss:0.393791+0.003079    test-mlogloss:0.549217+0.012472 
## [39] train-mlogloss:0.390934+0.002374    test-mlogloss:0.550120+0.012558 
## [40] train-mlogloss:0.388611+0.002485    test-mlogloss:0.550799+0.011889 
## [41] train-mlogloss:0.385707+0.002403    test-mlogloss:0.551595+0.011409 
## [42] train-mlogloss:0.382648+0.002851    test-mlogloss:0.552350+0.011172 
## [43] train-mlogloss:0.380065+0.003179    test-mlogloss:0.553186+0.011275 
## [44] train-mlogloss:0.377418+0.003213    test-mlogloss:0.553566+0.011168 
## [45] train-mlogloss:0.374896+0.003268    test-mlogloss:0.553501+0.011757 
## [46] train-mlogloss:0.372206+0.002980    test-mlogloss:0.554088+0.012228 
## [47] train-mlogloss:0.369323+0.003414    test-mlogloss:0.554888+0.012273 
## [48] train-mlogloss:0.366881+0.003497    test-mlogloss:0.555255+0.012064 
## [49] train-mlogloss:0.364625+0.002898    test-mlogloss:0.556012+0.012522 
## [50] train-mlogloss:0.362034+0.003039    test-mlogloss:0.556505+0.012622 
## [51] train-mlogloss:0.359820+0.003055    test-mlogloss:0.557141+0.012811 
## [52] train-mlogloss:0.357450+0.003650    test-mlogloss:0.557472+0.012028 
## [53] train-mlogloss:0.354856+0.002980    test-mlogloss:0.557622+0.011981 
## [54] train-mlogloss:0.352692+0.003233    test-mlogloss:0.558026+0.012321 
## [55] train-mlogloss:0.350201+0.003203    test-mlogloss:0.558870+0.012666 
## [56] train-mlogloss:0.347638+0.003204    test-mlogloss:0.559736+0.012899 
## [57] train-mlogloss:0.345517+0.003291    test-mlogloss:0.560319+0.013041 
## [58] train-mlogloss:0.342643+0.003105    test-mlogloss:0.561279+0.012729 
## [59] train-mlogloss:0.340825+0.003102    test-mlogloss:0.561792+0.012588 
## [60] train-mlogloss:0.338577+0.003113    test-mlogloss:0.562667+0.012426 
## [61] train-mlogloss:0.336530+0.002734    test-mlogloss:0.562742+0.012649 
## [62] train-mlogloss:0.334300+0.002995    test-mlogloss:0.563435+0.012825 
## [63] train-mlogloss:0.332063+0.003277    test-mlogloss:0.564125+0.012862 
## [64] train-mlogloss:0.329734+0.003290    test-mlogloss:0.565154+0.012774 
## [65] train-mlogloss:0.327799+0.003742    test-mlogloss:0.565577+0.012622 
## [66] train-mlogloss:0.325608+0.003931    test-mlogloss:0.566359+0.012712 
## [67] train-mlogloss:0.323580+0.004038    test-mlogloss:0.566718+0.012676 
## [68] train-mlogloss:0.321599+0.004425    test-mlogloss:0.567099+0.012457 
## [69] train-mlogloss:0.319407+0.004439    test-mlogloss:0.567610+0.012617 
## [70] train-mlogloss:0.317277+0.004417    test-mlogloss:0.568295+0.012832 
## [71] train-mlogloss:0.315209+0.004346    test-mlogloss:0.568867+0.012634 
## [72] train-mlogloss:0.313060+0.004575    test-mlogloss:0.569722+0.012425 
## [73] train-mlogloss:0.311205+0.004629    test-mlogloss:0.570512+0.012795 
## [74] train-mlogloss:0.309100+0.004480    test-mlogloss:0.571770+0.012917 
## [75] train-mlogloss:0.306951+0.004529    test-mlogloss:0.572755+0.012965 
## [76] train-mlogloss:0.305212+0.004358    test-mlogloss:0.573422+0.013406 
## [77] train-mlogloss:0.302764+0.004675    test-mlogloss:0.574115+0.013569 
## [78] train-mlogloss:0.300474+0.004361    test-mlogloss:0.574847+0.013295 
## [79] train-mlogloss:0.298300+0.004071    test-mlogloss:0.575289+0.013145 
## [80] train-mlogloss:0.296884+0.004297    test-mlogloss:0.576047+0.012954 
## [81] train-mlogloss:0.294840+0.004361    test-mlogloss:0.577137+0.013382 
## [82] train-mlogloss:0.293012+0.004398    test-mlogloss:0.577838+0.013461 
## [83] train-mlogloss:0.291401+0.004654    test-mlogloss:0.578221+0.013334 
## [84] train-mlogloss:0.289815+0.004252    test-mlogloss:0.578385+0.013406 
## [85] train-mlogloss:0.287904+0.004257    test-mlogloss:0.578639+0.013282 
## [86] train-mlogloss:0.286236+0.004298    test-mlogloss:0.579047+0.013388 
## [87] train-mlogloss:0.284319+0.004735    test-mlogloss:0.578946+0.013219 
## [88] train-mlogloss:0.282724+0.004526    test-mlogloss:0.579891+0.013262 
## [89] train-mlogloss:0.280880+0.004781    test-mlogloss:0.580502+0.013181 
## [90] train-mlogloss:0.279154+0.004745    test-mlogloss:0.581825+0.013149 
## [91] train-mlogloss:0.277496+0.004451    test-mlogloss:0.582457+0.013317 
## [92] train-mlogloss:0.275907+0.004731    test-mlogloss:0.583050+0.013532 
## [93] train-mlogloss:0.273890+0.004609    test-mlogloss:0.583615+0.013317 
## [94] train-mlogloss:0.272371+0.004572    test-mlogloss:0.584236+0.013343 
## [95] train-mlogloss:0.270563+0.004536    test-mlogloss:0.585022+0.013971 
## [96] train-mlogloss:0.269015+0.004528    test-mlogloss:0.585592+0.013962 
## [97] train-mlogloss:0.266862+0.004646    test-mlogloss:0.586634+0.013935 
## [98] train-mlogloss:0.264620+0.004859    test-mlogloss:0.587718+0.014103 
## [99] train-mlogloss:0.262894+0.004598    test-mlogloss:0.588550+0.014147 
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## [9]  train-mlogloss:0.146583+0.001237    test-mlogloss:0.579633+0.014082 
## [10] train-mlogloss:0.132128+0.001455    test-mlogloss:0.584902+0.013483 
## [11] train-mlogloss:0.119995+0.001719    test-mlogloss:0.590448+0.014736 
## [12] train-mlogloss:0.110767+0.002352    test-mlogloss:0.596077+0.016053 
## [13] train-mlogloss:0.101989+0.002343    test-mlogloss:0.600207+0.017715 
## [14] train-mlogloss:0.095819+0.001834    test-mlogloss:0.604845+0.017625 
## [15] train-mlogloss:0.089842+0.002382    test-mlogloss:0.609126+0.018463 
## [16] train-mlogloss:0.084623+0.001405    test-mlogloss:0.612761+0.018059 
## [17] train-mlogloss:0.080742+0.001728    test-mlogloss:0.616244+0.018860 
## [18] train-mlogloss:0.075881+0.001642    test-mlogloss:0.621290+0.018920 
## [19] train-mlogloss:0.071561+0.001889    test-mlogloss:0.625214+0.019893 
## [20] train-mlogloss:0.067532+0.001748    test-mlogloss:0.629027+0.019981 
## [21] train-mlogloss:0.064026+0.001594    test-mlogloss:0.632517+0.020223 
## [22] train-mlogloss:0.061017+0.001405    test-mlogloss:0.635733+0.020509 
## [23] train-mlogloss:0.058119+0.001569    test-mlogloss:0.639600+0.021336 
## [24] train-mlogloss:0.055374+0.001532    test-mlogloss:0.644533+0.020997 
## [25] train-mlogloss:0.052759+0.001441    test-mlogloss:0.646677+0.021360 
## [26] train-mlogloss:0.050485+0.001503    test-mlogloss:0.650983+0.021990 
## [27] train-mlogloss:0.048023+0.001532    test-mlogloss:0.654883+0.022447 
## [28] train-mlogloss:0.045977+0.001726    test-mlogloss:0.658284+0.022814 
## [29] train-mlogloss:0.043813+0.001563    test-mlogloss:0.662314+0.023106 
## [30] train-mlogloss:0.041978+0.001422    test-mlogloss:0.665853+0.023145 
## [31] train-mlogloss:0.040419+0.001283    test-mlogloss:0.668801+0.023840 
## [32] train-mlogloss:0.038699+0.001164    test-mlogloss:0.672188+0.024942 
## [33] train-mlogloss:0.037236+0.000997    test-mlogloss:0.675784+0.024952 
## [34] train-mlogloss:0.035839+0.000888    test-mlogloss:0.679061+0.024766 
## [35] train-mlogloss:0.034505+0.000859    test-mlogloss:0.682846+0.025169 
## [36] train-mlogloss:0.033305+0.000885    test-mlogloss:0.685171+0.025072 
## [37] train-mlogloss:0.032264+0.000916    test-mlogloss:0.687483+0.025395 
## [38] train-mlogloss:0.031207+0.000849    test-mlogloss:0.690131+0.024559 
## [39] train-mlogloss:0.030228+0.000852    test-mlogloss:0.693168+0.024216 
## [40] train-mlogloss:0.029284+0.000855    test-mlogloss:0.696463+0.024647 
## [41] train-mlogloss:0.028435+0.000861    test-mlogloss:0.699053+0.024769 
## [42] train-mlogloss:0.027597+0.000807    test-mlogloss:0.701690+0.025471 
## [43] train-mlogloss:0.026835+0.000774    test-mlogloss:0.704735+0.025597 
## [44] train-mlogloss:0.026098+0.000711    test-mlogloss:0.706887+0.025758 
## [45] train-mlogloss:0.025391+0.000661    test-mlogloss:0.709445+0.025145 
## [46] train-mlogloss:0.024692+0.000630    test-mlogloss:0.711872+0.024658 
## [47] train-mlogloss:0.024073+0.000649    test-mlogloss:0.714323+0.024544 
## [48] train-mlogloss:0.023464+0.000625    test-mlogloss:0.716214+0.025001 
## [49] train-mlogloss:0.022865+0.000589    test-mlogloss:0.718727+0.024876 
## [50] train-mlogloss:0.022304+0.000559    test-mlogloss:0.721324+0.025102 
## [51] train-mlogloss:0.021769+0.000531    test-mlogloss:0.724246+0.025140 
## [52] train-mlogloss:0.021287+0.000476    test-mlogloss:0.726583+0.024814 
## [53] train-mlogloss:0.020813+0.000469    test-mlogloss:0.729573+0.025169 
## [54] train-mlogloss:0.020370+0.000441    test-mlogloss:0.732224+0.025117 
## [55] train-mlogloss:0.019949+0.000438    test-mlogloss:0.734140+0.025195 
## [56] train-mlogloss:0.019536+0.000421    test-mlogloss:0.736545+0.025109 
## [57] train-mlogloss:0.019169+0.000401    test-mlogloss:0.738157+0.024671 
## [58] train-mlogloss:0.018781+0.000387    test-mlogloss:0.740098+0.024704 
## [59] train-mlogloss:0.018430+0.000385    test-mlogloss:0.741671+0.024373 
## [60] train-mlogloss:0.018090+0.000366    test-mlogloss:0.743736+0.024812 
## [61] train-mlogloss:0.017753+0.000353    test-mlogloss:0.745444+0.024855 
## [62] train-mlogloss:0.017421+0.000338    test-mlogloss:0.747232+0.024783 
## [63] train-mlogloss:0.017105+0.000321    test-mlogloss:0.749050+0.024648 
## [64] train-mlogloss:0.016811+0.000297    test-mlogloss:0.751223+0.024208 
## [65] train-mlogloss:0.016510+0.000290    test-mlogloss:0.752897+0.024088 
## [66] train-mlogloss:0.016225+0.000289    test-mlogloss:0.754500+0.023814 
## [67] train-mlogloss:0.015942+0.000277    test-mlogloss:0.756364+0.023141 
## [68] train-mlogloss:0.015689+0.000268    test-mlogloss:0.757536+0.023353 
## [69] train-mlogloss:0.015429+0.000269    test-mlogloss:0.759494+0.023212 
## [70] train-mlogloss:0.015173+0.000254    test-mlogloss:0.760848+0.023259 
## [71] train-mlogloss:0.014945+0.000243    test-mlogloss:0.762526+0.023140 
## [72] train-mlogloss:0.014717+0.000236    test-mlogloss:0.763902+0.023055 
## [73] train-mlogloss:0.014496+0.000223    test-mlogloss:0.765822+0.023354 
## [74] train-mlogloss:0.014294+0.000210    test-mlogloss:0.767738+0.023327 
## [75] train-mlogloss:0.014087+0.000211    test-mlogloss:0.769328+0.023391 
## [76] train-mlogloss:0.013889+0.000203    test-mlogloss:0.771187+0.023196 
## [77] train-mlogloss:0.013694+0.000199    test-mlogloss:0.772769+0.022877 
## [78] train-mlogloss:0.013507+0.000184    test-mlogloss:0.774299+0.023087 
## [79] train-mlogloss:0.013330+0.000178    test-mlogloss:0.775749+0.022803 
## [80] train-mlogloss:0.013154+0.000181    test-mlogloss:0.777228+0.022577 
## [81] train-mlogloss:0.012980+0.000171    test-mlogloss:0.778672+0.022613 
## [82] train-mlogloss:0.012822+0.000168    test-mlogloss:0.780071+0.022272 
## [83] train-mlogloss:0.012660+0.000167    test-mlogloss:0.781628+0.022240 
## [84] train-mlogloss:0.012497+0.000159    test-mlogloss:0.782750+0.021781 
## [85] train-mlogloss:0.012349+0.000156    test-mlogloss:0.783900+0.022297 
## [86] train-mlogloss:0.012198+0.000155    test-mlogloss:0.785663+0.021911 
## [87] train-mlogloss:0.012055+0.000155    test-mlogloss:0.787045+0.022219 
## [88] train-mlogloss:0.011914+0.000153    test-mlogloss:0.788333+0.022262 
## [89] train-mlogloss:0.011776+0.000153    test-mlogloss:0.789566+0.022620 
## [90] train-mlogloss:0.011644+0.000145    test-mlogloss:0.790884+0.022732 
## [91] train-mlogloss:0.011513+0.000141    test-mlogloss:0.792336+0.023044 
## [92] train-mlogloss:0.011382+0.000134    test-mlogloss:0.793826+0.023027 
## [93] train-mlogloss:0.011255+0.000134    test-mlogloss:0.795188+0.023553 
## [94] train-mlogloss:0.011134+0.000132    test-mlogloss:0.796251+0.023765 
## [95] train-mlogloss:0.011015+0.000132    test-mlogloss:0.797756+0.024297 
## [96] train-mlogloss:0.010900+0.000131    test-mlogloss:0.798703+0.024702 
## [97] train-mlogloss:0.010784+0.000127    test-mlogloss:0.799722+0.025036 
## [98] train-mlogloss:0.010671+0.000128    test-mlogloss:0.801118+0.025732 
## [99] train-mlogloss:0.010570+0.000125    test-mlogloss:0.802411+0.025736 
## [100]    train-mlogloss:0.010461+0.000120    test-mlogloss:0.803752+0.026055 
## [101]    train-mlogloss:0.010359+0.000119    test-mlogloss:0.804678+0.025992 
## [102]    train-mlogloss:0.010257+0.000116    test-mlogloss:0.805378+0.025462 
## [103]    train-mlogloss:0.010157+0.000116    test-mlogloss:0.806825+0.025844 
## [104]    train-mlogloss:0.010059+0.000112    test-mlogloss:0.807718+0.025972 
## [105]    train-mlogloss:0.009969+0.000112    test-mlogloss:0.809097+0.026186 
## [106]    train-mlogloss:0.009873+0.000110    test-mlogloss:0.810201+0.026079 
## [107]    train-mlogloss:0.009781+0.000112    test-mlogloss:0.811504+0.025984 
## [108]    train-mlogloss:0.009692+0.000115    test-mlogloss:0.812309+0.025740 
## [109]    train-mlogloss:0.009606+0.000110    test-mlogloss:0.813710+0.025593 
## [110]    train-mlogloss:0.009520+0.000109    test-mlogloss:0.814899+0.025624 
## [111]    train-mlogloss:0.009438+0.000105    test-mlogloss:0.816092+0.025100 
## [112]    train-mlogloss:0.009358+0.000103    test-mlogloss:0.817504+0.024617 
## [113]    train-mlogloss:0.009280+0.000100    test-mlogloss:0.818531+0.024501 
## [114]    train-mlogloss:0.009205+0.000100    test-mlogloss:0.819708+0.024216 
## [115]    train-mlogloss:0.009131+0.000098    test-mlogloss:0.821056+0.024075 
## [116]    train-mlogloss:0.009057+0.000094    test-mlogloss:0.821809+0.023856 
## [117]    train-mlogloss:0.008984+0.000095    test-mlogloss:0.822536+0.024278 
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## [119]    train-mlogloss:0.008838+0.000090    test-mlogloss:0.824364+0.024065 
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## [424]    train-mlogloss:0.003141+0.000027    test-mlogloss:0.976351+0.025634 
## [425]    train-mlogloss:0.003136+0.000028    test-mlogloss:0.976439+0.025839 
## [426]    train-mlogloss:0.003130+0.000027    test-mlogloss:0.976847+0.025694 
## [427]    train-mlogloss:0.003125+0.000027    test-mlogloss:0.977162+0.025883 
## [428]    train-mlogloss:0.003120+0.000027    test-mlogloss:0.977428+0.026016 
## [429]    train-mlogloss:0.003115+0.000027    test-mlogloss:0.977538+0.026041 
## [430]    train-mlogloss:0.003109+0.000026    test-mlogloss:0.977670+0.025878 
## [431]    train-mlogloss:0.003104+0.000026    test-mlogloss:0.978128+0.025846 
## [432]    train-mlogloss:0.003100+0.000026    test-mlogloss:0.978233+0.025885 
## [433]    train-mlogloss:0.003094+0.000026    test-mlogloss:0.978540+0.025879 
## [434]    train-mlogloss:0.003089+0.000026    test-mlogloss:0.978767+0.025821 
## [435]    train-mlogloss:0.003084+0.000026    test-mlogloss:0.978946+0.025891 
## [436]    train-mlogloss:0.003079+0.000026    test-mlogloss:0.979224+0.025837 
## [437]    train-mlogloss:0.003075+0.000026    test-mlogloss:0.979592+0.025758 
## [438]    train-mlogloss:0.003070+0.000026    test-mlogloss:0.979948+0.025772 
## [439]    train-mlogloss:0.003065+0.000026    test-mlogloss:0.980149+0.025557 
## [440]    train-mlogloss:0.003060+0.000026    test-mlogloss:0.980512+0.025441 
## [441]    train-mlogloss:0.003055+0.000025    test-mlogloss:0.981033+0.025655 
## [442]    train-mlogloss:0.003051+0.000025    test-mlogloss:0.981290+0.025696 
## [443]    train-mlogloss:0.003046+0.000025    test-mlogloss:0.981523+0.025597 
## [444]    train-mlogloss:0.003041+0.000026    test-mlogloss:0.981476+0.025539 
## [445]    train-mlogloss:0.003037+0.000025    test-mlogloss:0.981684+0.025637 
## [446]    train-mlogloss:0.003032+0.000025    test-mlogloss:0.981909+0.025419 
## [447]    train-mlogloss:0.003027+0.000025    test-mlogloss:0.982001+0.025291 
## [448]    train-mlogloss:0.003023+0.000025    test-mlogloss:0.982414+0.025432 
## [449]    train-mlogloss:0.003018+0.000024    test-mlogloss:0.982592+0.025380 
## [450]    train-mlogloss:0.003014+0.000024    test-mlogloss:0.982694+0.025086 
## [451]    train-mlogloss:0.003009+0.000024    test-mlogloss:0.982945+0.025210 
## [452]    train-mlogloss:0.003004+0.000024    test-mlogloss:0.983301+0.025023 
## [453]    train-mlogloss:0.002999+0.000023    test-mlogloss:0.983490+0.024860 
## [454]    train-mlogloss:0.002995+0.000024    test-mlogloss:0.983835+0.024823 
## [455]    train-mlogloss:0.002990+0.000024    test-mlogloss:0.983928+0.024936 
## [456]    train-mlogloss:0.002986+0.000024    test-mlogloss:0.984313+0.024853 
## [457]    train-mlogloss:0.002981+0.000025    test-mlogloss:0.984403+0.024647 
## [458]    train-mlogloss:0.002977+0.000024    test-mlogloss:0.984580+0.024891 
## [459]    train-mlogloss:0.002972+0.000024    test-mlogloss:0.984828+0.025124 
## [460]    train-mlogloss:0.002968+0.000024    test-mlogloss:0.984982+0.025244 
## [461]    train-mlogloss:0.002963+0.000024    test-mlogloss:0.985038+0.025029 
## [462]    train-mlogloss:0.002959+0.000024    test-mlogloss:0.985326+0.025177 
## [463]    train-mlogloss:0.002954+0.000024    test-mlogloss:0.985628+0.025195 
## [464]    train-mlogloss:0.002950+0.000023    test-mlogloss:0.985549+0.025263 
## [465]    train-mlogloss:0.002945+0.000023    test-mlogloss:0.985931+0.025264 
## [466]    train-mlogloss:0.002941+0.000023    test-mlogloss:0.986230+0.025281 
## [467]    train-mlogloss:0.002936+0.000024    test-mlogloss:0.986344+0.025121 
## [468]    train-mlogloss:0.002932+0.000024    test-mlogloss:0.986962+0.025299 
## [469]    train-mlogloss:0.002928+0.000024    test-mlogloss:0.987098+0.025463 
## [470]    train-mlogloss:0.002924+0.000024    test-mlogloss:0.987327+0.025574 
## [471]    train-mlogloss:0.002919+0.000024    test-mlogloss:0.987708+0.025618 
## [472]    train-mlogloss:0.002916+0.000024    test-mlogloss:0.988011+0.025584 
## [473]    train-mlogloss:0.002911+0.000024    test-mlogloss:0.988103+0.025735 
## [474]    train-mlogloss:0.002907+0.000024    test-mlogloss:0.988455+0.025672 
## [475]    train-mlogloss:0.002903+0.000024    test-mlogloss:0.988750+0.025600 
## [476]    train-mlogloss:0.002898+0.000024    test-mlogloss:0.989062+0.025595 
## [477]    train-mlogloss:0.002894+0.000024    test-mlogloss:0.989226+0.025755 
## [478]    train-mlogloss:0.002891+0.000024    test-mlogloss:0.989583+0.025585 
## [479]    train-mlogloss:0.002886+0.000024    test-mlogloss:0.989833+0.025398 
## [480]    train-mlogloss:0.002882+0.000024    test-mlogloss:0.989833+0.025185 
## [481]    train-mlogloss:0.002878+0.000024    test-mlogloss:0.990113+0.025417 
## [482]    train-mlogloss:0.002874+0.000024    test-mlogloss:0.990184+0.025265 
## [483]    train-mlogloss:0.002870+0.000024    test-mlogloss:0.990589+0.025372 
## [484]    train-mlogloss:0.002866+0.000024    test-mlogloss:0.991001+0.025654 
## [485]    train-mlogloss:0.002861+0.000024    test-mlogloss:0.991269+0.025689 
## [486]    train-mlogloss:0.002858+0.000024    test-mlogloss:0.991474+0.025624 
## [487]    train-mlogloss:0.002853+0.000023    test-mlogloss:0.991610+0.025478 
## [488]    train-mlogloss:0.002849+0.000023    test-mlogloss:0.991997+0.025527 
## [489]    train-mlogloss:0.002845+0.000023    test-mlogloss:0.992147+0.025374 
## [490]    train-mlogloss:0.002841+0.000023    test-mlogloss:0.992299+0.025556 
## [491]    train-mlogloss:0.002837+0.000023    test-mlogloss:0.992755+0.025579 
## [492]    train-mlogloss:0.002833+0.000023    test-mlogloss:0.993097+0.025372 
## [493]    train-mlogloss:0.002829+0.000023    test-mlogloss:0.992969+0.025363 
## [494]    train-mlogloss:0.002825+0.000023    test-mlogloss:0.993162+0.025281 
## [495]    train-mlogloss:0.002821+0.000023    test-mlogloss:0.993444+0.025404 
## [496]    train-mlogloss:0.002817+0.000023    test-mlogloss:0.993691+0.025282 
## [497]    train-mlogloss:0.002814+0.000023    test-mlogloss:0.993880+0.025253 
## [498]    train-mlogloss:0.002810+0.000023    test-mlogloss:0.994170+0.025323 
## [499]    train-mlogloss:0.002806+0.000023    test-mlogloss:0.994298+0.025294 
## [500]    train-mlogloss:0.002802+0.000022    test-mlogloss:0.994378+0.025460 
## [1]  train-mlogloss:0.536048+0.002096    test-mlogloss:0.557448+0.005711 
## [2]  train-mlogloss:0.505392+0.002502    test-mlogloss:0.542508+0.007986 
## [3]  train-mlogloss:0.492372+0.002197    test-mlogloss:0.539602+0.008874 
## [4]  train-mlogloss:0.483135+0.002788    test-mlogloss:0.540269+0.009433 
## [5]  train-mlogloss:0.473642+0.002813    test-mlogloss:0.543700+0.009849 
## [6]  train-mlogloss:0.466236+0.003263    test-mlogloss:0.545947+0.010564 
## [7]  train-mlogloss:0.456295+0.003265    test-mlogloss:0.549799+0.013081 
## [8]  train-mlogloss:0.448348+0.003834    test-mlogloss:0.553588+0.013384 
## [9]  train-mlogloss:0.439829+0.002993    test-mlogloss:0.555160+0.012578 
## [10] train-mlogloss:0.432792+0.002674    test-mlogloss:0.557938+0.011038 
## [11] train-mlogloss:0.425763+0.001595    test-mlogloss:0.560812+0.009278 
## [12] train-mlogloss:0.418272+0.003220    test-mlogloss:0.565075+0.011670 
## [13] train-mlogloss:0.411046+0.003824    test-mlogloss:0.569503+0.011898 
## [14] train-mlogloss:0.403696+0.004691    test-mlogloss:0.572502+0.012615 
## [15] train-mlogloss:0.396863+0.003133    test-mlogloss:0.575336+0.011396 
## [16] train-mlogloss:0.391832+0.003192    test-mlogloss:0.576904+0.010851 
## [17] train-mlogloss:0.385685+0.003609    test-mlogloss:0.579090+0.011729 
## [18] train-mlogloss:0.378247+0.003983    test-mlogloss:0.583240+0.013448 
## [19] train-mlogloss:0.371948+0.003515    test-mlogloss:0.585355+0.013385 
## [20] train-mlogloss:0.366903+0.002641    test-mlogloss:0.587283+0.014181 
## [21] train-mlogloss:0.360639+0.002660    test-mlogloss:0.589602+0.013648 
## [22] train-mlogloss:0.354132+0.002271    test-mlogloss:0.591319+0.013339 
## [23] train-mlogloss:0.348431+0.002478    test-mlogloss:0.593572+0.012694 
## [24] train-mlogloss:0.343227+0.002338    test-mlogloss:0.595788+0.012366 
## [25] train-mlogloss:0.337624+0.003667    test-mlogloss:0.598259+0.012937 
## [26] train-mlogloss:0.331036+0.003830    test-mlogloss:0.600440+0.012483 
## [27] train-mlogloss:0.325003+0.003388    test-mlogloss:0.604050+0.013218 
## [28] train-mlogloss:0.319855+0.003525    test-mlogloss:0.605467+0.013887 
## [29] train-mlogloss:0.314161+0.002697    test-mlogloss:0.607609+0.014969 
## [30] train-mlogloss:0.308837+0.002368    test-mlogloss:0.612534+0.016100 
## [31] train-mlogloss:0.303682+0.002956    test-mlogloss:0.614362+0.016936 
## [32] train-mlogloss:0.298497+0.003409    test-mlogloss:0.618879+0.016660 
## [33] train-mlogloss:0.293726+0.004088    test-mlogloss:0.619010+0.017265 
## [34] train-mlogloss:0.288744+0.004278    test-mlogloss:0.621641+0.017499 
## [35] train-mlogloss:0.284543+0.003917    test-mlogloss:0.624390+0.016439 
## [36] train-mlogloss:0.280200+0.003752    test-mlogloss:0.626545+0.015062 
## [37] train-mlogloss:0.275201+0.003845    test-mlogloss:0.629843+0.016941 
## [38] train-mlogloss:0.270780+0.004547    test-mlogloss:0.632540+0.017771 
## [39] train-mlogloss:0.266299+0.005370    test-mlogloss:0.634023+0.017968 
## [40] train-mlogloss:0.261781+0.004669    test-mlogloss:0.636165+0.019022 
## [41] train-mlogloss:0.256642+0.004624    test-mlogloss:0.639785+0.018619 
## [42] train-mlogloss:0.252830+0.003782    test-mlogloss:0.641064+0.017520 
## [43] train-mlogloss:0.248666+0.003933    test-mlogloss:0.642667+0.018102 
## [44] train-mlogloss:0.243835+0.003867    test-mlogloss:0.646056+0.017994 
## [45] train-mlogloss:0.239793+0.003899    test-mlogloss:0.647896+0.017363 
## [46] train-mlogloss:0.236187+0.003443    test-mlogloss:0.650859+0.016487 
## [47] train-mlogloss:0.232557+0.003901    test-mlogloss:0.654059+0.017069 
## [48] train-mlogloss:0.228538+0.003922    test-mlogloss:0.656193+0.017895 
## [49] train-mlogloss:0.224630+0.003432    test-mlogloss:0.657602+0.018283 
## [50] train-mlogloss:0.221414+0.003442    test-mlogloss:0.661208+0.017421 
## [51] train-mlogloss:0.218002+0.002897    test-mlogloss:0.664186+0.016962 
## [52] train-mlogloss:0.214861+0.003322    test-mlogloss:0.666442+0.017381 
## [53] train-mlogloss:0.211072+0.003224    test-mlogloss:0.669787+0.018464 
## [54] train-mlogloss:0.207187+0.003196    test-mlogloss:0.672171+0.018225 
## [55] train-mlogloss:0.203864+0.003046    test-mlogloss:0.675710+0.017948 
## [56] train-mlogloss:0.200315+0.003034    test-mlogloss:0.678824+0.018316 
## [57] train-mlogloss:0.196558+0.002935    test-mlogloss:0.681863+0.019776 
## [58] train-mlogloss:0.193100+0.002619    test-mlogloss:0.683804+0.019988 
## [59] train-mlogloss:0.190015+0.003350    test-mlogloss:0.684692+0.019979 
## [60] train-mlogloss:0.186775+0.003045    test-mlogloss:0.687485+0.019824 
## [61] train-mlogloss:0.184348+0.003424    test-mlogloss:0.689035+0.019414 
## [62] train-mlogloss:0.181401+0.003230    test-mlogloss:0.691787+0.020352 
## [63] train-mlogloss:0.178710+0.003036    test-mlogloss:0.693903+0.019404 
## [64] train-mlogloss:0.175472+0.002354    test-mlogloss:0.694555+0.019695 
## [65] train-mlogloss:0.172580+0.002654    test-mlogloss:0.697421+0.019654 
## [66] train-mlogloss:0.169992+0.003365    test-mlogloss:0.700423+0.019236 
## [67] train-mlogloss:0.167399+0.002962    test-mlogloss:0.703254+0.019772 
## [68] train-mlogloss:0.164387+0.003001    test-mlogloss:0.705162+0.018517 
## [69] train-mlogloss:0.162037+0.003170    test-mlogloss:0.708223+0.019374 
## [70] train-mlogloss:0.159416+0.003699    test-mlogloss:0.709534+0.019820 
## [71] train-mlogloss:0.156595+0.003641    test-mlogloss:0.711996+0.019851 
## [72] train-mlogloss:0.154267+0.003389    test-mlogloss:0.713432+0.021113 
## [73] train-mlogloss:0.151494+0.003296    test-mlogloss:0.715292+0.020432 
## [74] train-mlogloss:0.149280+0.003262    test-mlogloss:0.717739+0.020063 
## [75] train-mlogloss:0.146964+0.003536    test-mlogloss:0.718873+0.019245 
## [76] train-mlogloss:0.144459+0.003680    test-mlogloss:0.719580+0.018609 
## [77] train-mlogloss:0.141529+0.003332    test-mlogloss:0.721300+0.019136 
## [78] train-mlogloss:0.139220+0.003180    test-mlogloss:0.724681+0.018575 
## [79] train-mlogloss:0.136750+0.003418    test-mlogloss:0.727742+0.019996 
## [80] train-mlogloss:0.134446+0.003198    test-mlogloss:0.729101+0.021008 
## [81] train-mlogloss:0.132130+0.003358    test-mlogloss:0.732960+0.019590 
## [82] train-mlogloss:0.130031+0.003404    test-mlogloss:0.735025+0.019227 
## [83] train-mlogloss:0.127996+0.003304    test-mlogloss:0.735556+0.019692 
## [84] train-mlogloss:0.125877+0.003479    test-mlogloss:0.737647+0.019745 
## [85] train-mlogloss:0.123896+0.003014    test-mlogloss:0.738929+0.019751 
## [86] train-mlogloss:0.121943+0.002785    test-mlogloss:0.740671+0.020063 
## [87] train-mlogloss:0.120046+0.002814    test-mlogloss:0.742667+0.020615 
## [88] train-mlogloss:0.118268+0.002566    test-mlogloss:0.745002+0.021605 
## [89] train-mlogloss:0.116343+0.002453    test-mlogloss:0.747192+0.021541 
## [90] train-mlogloss:0.114335+0.002163    test-mlogloss:0.749454+0.021933 
## [91] train-mlogloss:0.112756+0.002495    test-mlogloss:0.750877+0.022344 
## [92] train-mlogloss:0.111069+0.002526    test-mlogloss:0.752613+0.022540 
## [93] train-mlogloss:0.109327+0.002543    test-mlogloss:0.755169+0.023606 
## [94] train-mlogloss:0.107691+0.002421    test-mlogloss:0.757252+0.022431 
## [95] train-mlogloss:0.106071+0.002561    test-mlogloss:0.759623+0.022017 
## [96] train-mlogloss:0.104611+0.002381    test-mlogloss:0.762036+0.022079 
## [97] train-mlogloss:0.102840+0.002474    test-mlogloss:0.764752+0.021539 
## [98] train-mlogloss:0.101196+0.002450    test-mlogloss:0.766830+0.020548 
## [99] train-mlogloss:0.099992+0.002237    test-mlogloss:0.768994+0.020762 
## [100]    train-mlogloss:0.098230+0.002350    test-mlogloss:0.770770+0.020937 
## [101]    train-mlogloss:0.096631+0.002417    test-mlogloss:0.773051+0.020510 
## [102]    train-mlogloss:0.095128+0.002301    test-mlogloss:0.775122+0.019610 
## [103]    train-mlogloss:0.093342+0.002216    test-mlogloss:0.775683+0.019684 
## [104]    train-mlogloss:0.092126+0.002301    test-mlogloss:0.777712+0.020130 
## [105]    train-mlogloss:0.090520+0.002281    test-mlogloss:0.779687+0.021204 
## [106]    train-mlogloss:0.089243+0.002170    test-mlogloss:0.781355+0.020353 
## [107]    train-mlogloss:0.088032+0.002091    test-mlogloss:0.782630+0.020540 
## [108]    train-mlogloss:0.086957+0.002001    test-mlogloss:0.785150+0.020067 
## [109]    train-mlogloss:0.085866+0.001992    test-mlogloss:0.787102+0.020535 
## [110]    train-mlogloss:0.084371+0.001864    test-mlogloss:0.789110+0.022370 
## [111]    train-mlogloss:0.083230+0.001836    test-mlogloss:0.792440+0.023701 
## [112]    train-mlogloss:0.081952+0.001833    test-mlogloss:0.795710+0.024802 
## [113]    train-mlogloss:0.080625+0.001720    test-mlogloss:0.796301+0.023970 
## [114]    train-mlogloss:0.079181+0.001795    test-mlogloss:0.798323+0.024324 
## [115]    train-mlogloss:0.078190+0.001646    test-mlogloss:0.800548+0.024587 
## [116]    train-mlogloss:0.076935+0.001732    test-mlogloss:0.802613+0.026381 
## [117]    train-mlogloss:0.075960+0.001726    test-mlogloss:0.803927+0.025729 
## [118]    train-mlogloss:0.074815+0.001618    test-mlogloss:0.806608+0.026558 
## [119]    train-mlogloss:0.073665+0.001622    test-mlogloss:0.809296+0.026350 
## [120]    train-mlogloss:0.072549+0.001444    test-mlogloss:0.811535+0.025998 
## [121]    train-mlogloss:0.071368+0.001430    test-mlogloss:0.813901+0.025655 
## [122]    train-mlogloss:0.070210+0.001484    test-mlogloss:0.817028+0.026542 
## [123]    train-mlogloss:0.069142+0.001671    test-mlogloss:0.818611+0.027036 
## [124]    train-mlogloss:0.068131+0.001894    test-mlogloss:0.820691+0.027340 
## [125]    train-mlogloss:0.067034+0.001901    test-mlogloss:0.822515+0.027818 
## [126]    train-mlogloss:0.065994+0.001741    test-mlogloss:0.824665+0.027812 
## [127]    train-mlogloss:0.065181+0.001681    test-mlogloss:0.826637+0.026491 
## [128]    train-mlogloss:0.064216+0.001789    test-mlogloss:0.827670+0.025040 
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## [499]    train-mlogloss:0.004195+0.000031    test-mlogloss:1.212218+0.039346 
## [500]    train-mlogloss:0.004183+0.000030    test-mlogloss:1.212829+0.039607 
## [1]  train-mlogloss:0.354479+0.001253    test-mlogloss:0.616011+0.014408 
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## [6]  train-mlogloss:0.083827+0.004391    test-mlogloss:0.692867+0.020872 
## [7]  train-mlogloss:0.071545+0.002626    test-mlogloss:0.707023+0.022526 
## [8]  train-mlogloss:0.061636+0.001344    test-mlogloss:0.720710+0.023223 
## [9]  train-mlogloss:0.052967+0.001331    test-mlogloss:0.733338+0.022556 
## [10] train-mlogloss:0.046287+0.000901    test-mlogloss:0.743516+0.023166 
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## [12] train-mlogloss:0.036249+0.000596    test-mlogloss:0.761437+0.023101 
## [13] train-mlogloss:0.032859+0.000306    test-mlogloss:0.770974+0.023622 
## [14] train-mlogloss:0.030024+0.000167    test-mlogloss:0.780016+0.022756 
## [15] train-mlogloss:0.027688+0.000262    test-mlogloss:0.788676+0.022564 
## [16] train-mlogloss:0.025553+0.000186    test-mlogloss:0.795725+0.022989 
## [17] train-mlogloss:0.023719+0.000161    test-mlogloss:0.803026+0.022819 
## [18] train-mlogloss:0.022198+0.000186    test-mlogloss:0.810154+0.022387 
## [19] train-mlogloss:0.020786+0.000169    test-mlogloss:0.815207+0.022292 
## [20] train-mlogloss:0.019670+0.000122    test-mlogloss:0.821848+0.020963 
## [21] train-mlogloss:0.018592+0.000122    test-mlogloss:0.827520+0.023411 
## [22] train-mlogloss:0.017613+0.000066    test-mlogloss:0.832961+0.025845 
## [23] train-mlogloss:0.016764+0.000052    test-mlogloss:0.837470+0.027279 
## [24] train-mlogloss:0.016018+0.000075    test-mlogloss:0.843374+0.026520 
## [25] train-mlogloss:0.015317+0.000090    test-mlogloss:0.848907+0.028090 
## [26] train-mlogloss:0.014653+0.000097    test-mlogloss:0.853914+0.027370 
## [27] train-mlogloss:0.014075+0.000083    test-mlogloss:0.859147+0.028786 
## [28] train-mlogloss:0.013569+0.000088    test-mlogloss:0.863191+0.030088 
## [29] train-mlogloss:0.013088+0.000098    test-mlogloss:0.867557+0.029956 
## [30] train-mlogloss:0.012633+0.000084    test-mlogloss:0.869591+0.028724 
## [31] train-mlogloss:0.012205+0.000077    test-mlogloss:0.873007+0.030254 
## [32] train-mlogloss:0.011819+0.000071    test-mlogloss:0.875855+0.030968 
## [33] train-mlogloss:0.011457+0.000059    test-mlogloss:0.878742+0.029497 
## [34] train-mlogloss:0.011112+0.000056    test-mlogloss:0.881667+0.030650 
## [35] train-mlogloss:0.010774+0.000054    test-mlogloss:0.884588+0.032344 
## [36] train-mlogloss:0.010474+0.000050    test-mlogloss:0.888966+0.031375 
## [37] train-mlogloss:0.010199+0.000057    test-mlogloss:0.892400+0.030808 
## [38] train-mlogloss:0.009944+0.000050    test-mlogloss:0.894501+0.031117 
## [39] train-mlogloss:0.009701+0.000050    test-mlogloss:0.898033+0.031105 
## [40] train-mlogloss:0.009463+0.000046    test-mlogloss:0.901107+0.030552 
## [41] train-mlogloss:0.009244+0.000042    test-mlogloss:0.904064+0.030843 
## [42] train-mlogloss:0.009042+0.000042    test-mlogloss:0.906410+0.030343 
## [43] train-mlogloss:0.008838+0.000049    test-mlogloss:0.909112+0.030616 
## [44] train-mlogloss:0.008650+0.000053    test-mlogloss:0.912155+0.030243 
## [45] train-mlogloss:0.008474+0.000057    test-mlogloss:0.915031+0.030928 
## [46] train-mlogloss:0.008307+0.000054    test-mlogloss:0.917605+0.030649 
## [47] train-mlogloss:0.008146+0.000047    test-mlogloss:0.919770+0.030339 
## [48] train-mlogloss:0.007998+0.000044    test-mlogloss:0.922083+0.029684 
## [49] train-mlogloss:0.007848+0.000040    test-mlogloss:0.924805+0.030485 
## [50] train-mlogloss:0.007704+0.000040    test-mlogloss:0.926564+0.030311 
## [51] train-mlogloss:0.007568+0.000044    test-mlogloss:0.928647+0.030745 
## [52] train-mlogloss:0.007443+0.000042    test-mlogloss:0.931408+0.030990 
## [53] train-mlogloss:0.007316+0.000040    test-mlogloss:0.933308+0.031469 
## [54] train-mlogloss:0.007197+0.000036    test-mlogloss:0.936095+0.031273 
## [55] train-mlogloss:0.007080+0.000042    test-mlogloss:0.938137+0.030147 
## [56] train-mlogloss:0.006970+0.000041    test-mlogloss:0.940232+0.030187 
## [57] train-mlogloss:0.006864+0.000037    test-mlogloss:0.942112+0.031214 
## [58] train-mlogloss:0.006765+0.000039    test-mlogloss:0.943355+0.030680 
## [59] train-mlogloss:0.006670+0.000040    test-mlogloss:0.944439+0.029779 
## [60] train-mlogloss:0.006572+0.000041    test-mlogloss:0.946860+0.030218 
## [61] train-mlogloss:0.006476+0.000039    test-mlogloss:0.949364+0.030642 
## [62] train-mlogloss:0.006383+0.000041    test-mlogloss:0.950983+0.031027 
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## [64] train-mlogloss:0.006217+0.000039    test-mlogloss:0.953913+0.030701 
## [65] train-mlogloss:0.006139+0.000038    test-mlogloss:0.955687+0.031084 
## [66] train-mlogloss:0.006062+0.000034    test-mlogloss:0.957893+0.031790 
## [67] train-mlogloss:0.005986+0.000032    test-mlogloss:0.959188+0.031743 
## [68] train-mlogloss:0.005913+0.000032    test-mlogloss:0.960350+0.031471 
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## [70] train-mlogloss:0.005769+0.000031    test-mlogloss:0.963431+0.031073 
## [71] train-mlogloss:0.005701+0.000030    test-mlogloss:0.965459+0.031898 
## [72] train-mlogloss:0.005635+0.000033    test-mlogloss:0.967140+0.031947 
## [73] train-mlogloss:0.005573+0.000034    test-mlogloss:0.969126+0.032208 
## [74] train-mlogloss:0.005514+0.000033    test-mlogloss:0.970481+0.031672 
## [75] train-mlogloss:0.005453+0.000033    test-mlogloss:0.973079+0.031726 
## [76] train-mlogloss:0.005393+0.000034    test-mlogloss:0.974761+0.031790 
## [77] train-mlogloss:0.005335+0.000037    test-mlogloss:0.975793+0.031692 
## [78] train-mlogloss:0.005280+0.000036    test-mlogloss:0.977091+0.031556 
## [79] train-mlogloss:0.005225+0.000032    test-mlogloss:0.977948+0.032175 
## [80] train-mlogloss:0.005173+0.000031    test-mlogloss:0.978275+0.031730 
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## [92] train-mlogloss:0.004632+0.000023    test-mlogloss:0.995425+0.032919 
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## [97] train-mlogloss:0.004448+0.000020    test-mlogloss:1.000972+0.031757 
## [98] train-mlogloss:0.004414+0.000018    test-mlogloss:1.002146+0.031853 
## [99] train-mlogloss:0.004380+0.000017    test-mlogloss:1.003218+0.032406 
## [100]    train-mlogloss:0.004346+0.000017    test-mlogloss:1.004307+0.032126 
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## [104]    train-mlogloss:0.004213+0.000013    test-mlogloss:1.008418+0.032163 
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## [107]    train-mlogloss:0.004124+0.000009    test-mlogloss:1.011554+0.033125 
## [108]    train-mlogloss:0.004095+0.000008    test-mlogloss:1.012894+0.032631 
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## [462]    train-mlogloss:0.001575+0.000007    test-mlogloss:1.163744+0.039826 
## [463]    train-mlogloss:0.001572+0.000007    test-mlogloss:1.163796+0.040023 
## [464]    train-mlogloss:0.001570+0.000007    test-mlogloss:1.164114+0.039850 
## [465]    train-mlogloss:0.001568+0.000007    test-mlogloss:1.164773+0.039800 
## [466]    train-mlogloss:0.001566+0.000007    test-mlogloss:1.164506+0.039804 
## [467]    train-mlogloss:0.001565+0.000007    test-mlogloss:1.164540+0.039666 
## [468]    train-mlogloss:0.001563+0.000007    test-mlogloss:1.164835+0.039242 
## [469]    train-mlogloss:0.001561+0.000007    test-mlogloss:1.165332+0.039503 
## [470]    train-mlogloss:0.001559+0.000008    test-mlogloss:1.165212+0.039164 
## [471]    train-mlogloss:0.001557+0.000007    test-mlogloss:1.165132+0.039349 
## [472]    train-mlogloss:0.001556+0.000008    test-mlogloss:1.165587+0.039329 
## [473]    train-mlogloss:0.001554+0.000008    test-mlogloss:1.166465+0.039044 
## [474]    train-mlogloss:0.001552+0.000008    test-mlogloss:1.166237+0.039364 
## [475]    train-mlogloss:0.001550+0.000007    test-mlogloss:1.166785+0.038865 
## [476]    train-mlogloss:0.001548+0.000007    test-mlogloss:1.166778+0.039075 
## [477]    train-mlogloss:0.001546+0.000007    test-mlogloss:1.167063+0.038879 
## [478]    train-mlogloss:0.001544+0.000007    test-mlogloss:1.167021+0.039456 
## [479]    train-mlogloss:0.001542+0.000007    test-mlogloss:1.167411+0.039293 
## [480]    train-mlogloss:0.001540+0.000008    test-mlogloss:1.167849+0.039567 
## [481]    train-mlogloss:0.001539+0.000008    test-mlogloss:1.167843+0.039274 
## [482]    train-mlogloss:0.001537+0.000008    test-mlogloss:1.168236+0.039259 
## [483]    train-mlogloss:0.001535+0.000008    test-mlogloss:1.168364+0.039188 
## [484]    train-mlogloss:0.001533+0.000008    test-mlogloss:1.168760+0.039267 
## [485]    train-mlogloss:0.001531+0.000008    test-mlogloss:1.168773+0.039095 
## [486]    train-mlogloss:0.001530+0.000007    test-mlogloss:1.169322+0.039091 
## [487]    train-mlogloss:0.001528+0.000008    test-mlogloss:1.168984+0.038641 
## [488]    train-mlogloss:0.001526+0.000008    test-mlogloss:1.169172+0.038941 
## [489]    train-mlogloss:0.001525+0.000007    test-mlogloss:1.169636+0.039428 
## [490]    train-mlogloss:0.001523+0.000008    test-mlogloss:1.169442+0.039174 
## [491]    train-mlogloss:0.001521+0.000008    test-mlogloss:1.170016+0.039456 
## [492]    train-mlogloss:0.001519+0.000008    test-mlogloss:1.169953+0.039437 
## [493]    train-mlogloss:0.001517+0.000008    test-mlogloss:1.170486+0.039223 
## [494]    train-mlogloss:0.001516+0.000008    test-mlogloss:1.170142+0.039284 
## [495]    train-mlogloss:0.001514+0.000008    test-mlogloss:1.169838+0.039666 
## [496]    train-mlogloss:0.001512+0.000008    test-mlogloss:1.170844+0.039524 
## [497]    train-mlogloss:0.001511+0.000008    test-mlogloss:1.170889+0.039249 
## [498]    train-mlogloss:0.001509+0.000008    test-mlogloss:1.171419+0.039595 
## [499]    train-mlogloss:0.001507+0.000008    test-mlogloss:1.171225+0.039747 
## [500]    train-mlogloss:0.001505+0.000008    test-mlogloss:1.171629+0.039863 
## [1]  train-mlogloss:0.522143+0.002300    test-mlogloss:0.545033+0.011338 
## [2]  train-mlogloss:0.499653+0.002891    test-mlogloss:0.542468+0.012309 
## [3]  train-mlogloss:0.487307+0.001404    test-mlogloss:0.546891+0.011105 
## [4]  train-mlogloss:0.477906+0.003274    test-mlogloss:0.550227+0.012102 
## [5]  train-mlogloss:0.467534+0.003335    test-mlogloss:0.554536+0.012436 
## [6]  train-mlogloss:0.457803+0.004231    test-mlogloss:0.559419+0.011795 
## [7]  train-mlogloss:0.446497+0.004545    test-mlogloss:0.564468+0.014454 
## [8]  train-mlogloss:0.438269+0.005661    test-mlogloss:0.567456+0.014235 
## [9]  train-mlogloss:0.430105+0.006239    test-mlogloss:0.569588+0.013590 
## [10] train-mlogloss:0.420668+0.005833    test-mlogloss:0.572255+0.012579 
## [11] train-mlogloss:0.410684+0.005451    test-mlogloss:0.576839+0.012491 
## [12] train-mlogloss:0.401211+0.006668    test-mlogloss:0.580699+0.014401 
## [13] train-mlogloss:0.391965+0.008629    test-mlogloss:0.584846+0.015574 
## [14] train-mlogloss:0.383776+0.007275    test-mlogloss:0.587678+0.016817 
## [15] train-mlogloss:0.375407+0.007404    test-mlogloss:0.590754+0.017996 
## [16] train-mlogloss:0.367297+0.007789    test-mlogloss:0.595216+0.018000 
## [17] train-mlogloss:0.359055+0.008931    test-mlogloss:0.599276+0.020422 
## [18] train-mlogloss:0.351033+0.008114    test-mlogloss:0.604481+0.019660 
## [19] train-mlogloss:0.343739+0.007888    test-mlogloss:0.608446+0.020684 
## [20] train-mlogloss:0.337806+0.007177    test-mlogloss:0.609378+0.019728 
## [21] train-mlogloss:0.330214+0.006727    test-mlogloss:0.612484+0.021153 
## [22] train-mlogloss:0.322799+0.006743    test-mlogloss:0.616223+0.020553 
## [23] train-mlogloss:0.315635+0.005716    test-mlogloss:0.620840+0.020733 
## [24] train-mlogloss:0.308580+0.006981    test-mlogloss:0.626150+0.021815 
## [25] train-mlogloss:0.301652+0.006706    test-mlogloss:0.628164+0.021625 
## [26] train-mlogloss:0.294845+0.006582    test-mlogloss:0.630730+0.021198 
## [27] train-mlogloss:0.288018+0.006452    test-mlogloss:0.633895+0.019986 
## [28] train-mlogloss:0.281532+0.008145    test-mlogloss:0.636880+0.021089 
## [29] train-mlogloss:0.276065+0.007858    test-mlogloss:0.641518+0.020598 
## [30] train-mlogloss:0.269893+0.008501    test-mlogloss:0.645822+0.022445 
## [31] train-mlogloss:0.264077+0.008487    test-mlogloss:0.649162+0.023840 
## [32] train-mlogloss:0.258022+0.007407    test-mlogloss:0.652005+0.023339 
## [33] train-mlogloss:0.252032+0.007452    test-mlogloss:0.656002+0.023180 
## [34] train-mlogloss:0.246411+0.007026    test-mlogloss:0.659834+0.024231 
## [35] train-mlogloss:0.242198+0.006903    test-mlogloss:0.662018+0.023679 
## [36] train-mlogloss:0.236869+0.007272    test-mlogloss:0.665420+0.024029 
## [37] train-mlogloss:0.231837+0.006310    test-mlogloss:0.670236+0.022931 
## [38] train-mlogloss:0.226523+0.006076    test-mlogloss:0.673466+0.024490 
## [39] train-mlogloss:0.220789+0.006138    test-mlogloss:0.676016+0.025997 
## [40] train-mlogloss:0.215569+0.006300    test-mlogloss:0.678699+0.027270 
## [41] train-mlogloss:0.210824+0.005431    test-mlogloss:0.680584+0.026826 
## [42] train-mlogloss:0.207101+0.005198    test-mlogloss:0.683324+0.028205 
## [43] train-mlogloss:0.203259+0.005361    test-mlogloss:0.686535+0.027476 
## [44] train-mlogloss:0.199034+0.005241    test-mlogloss:0.689332+0.028231 
## [45] train-mlogloss:0.195388+0.004985    test-mlogloss:0.693101+0.028790 
## [46] train-mlogloss:0.191576+0.004623    test-mlogloss:0.695687+0.028833 
## [47] train-mlogloss:0.187487+0.004754    test-mlogloss:0.699253+0.031153 
## [48] train-mlogloss:0.184596+0.004734    test-mlogloss:0.703037+0.032651 
## [49] train-mlogloss:0.181198+0.004630    test-mlogloss:0.706609+0.031799 
## [50] train-mlogloss:0.177944+0.004456    test-mlogloss:0.710280+0.032211 
## [51] train-mlogloss:0.174131+0.004636    test-mlogloss:0.711848+0.031267 
## [52] train-mlogloss:0.170598+0.004022    test-mlogloss:0.713643+0.029913 
## [53] train-mlogloss:0.166856+0.003992    test-mlogloss:0.716968+0.028734 
## [54] train-mlogloss:0.162848+0.004017    test-mlogloss:0.720899+0.028577 
## [55] train-mlogloss:0.159126+0.003697    test-mlogloss:0.723214+0.027725 
## [56] train-mlogloss:0.155766+0.003564    test-mlogloss:0.727560+0.030719 
## [57] train-mlogloss:0.152730+0.003482    test-mlogloss:0.728627+0.031343 
## [58] train-mlogloss:0.150109+0.002906    test-mlogloss:0.730734+0.030958 
## [59] train-mlogloss:0.147365+0.003041    test-mlogloss:0.733768+0.031571 
## [60] train-mlogloss:0.144138+0.002935    test-mlogloss:0.736214+0.032907 
## [61] train-mlogloss:0.141463+0.003037    test-mlogloss:0.737827+0.033933 
## [62] train-mlogloss:0.138984+0.002782    test-mlogloss:0.739660+0.034787 
## [63] train-mlogloss:0.136132+0.002985    test-mlogloss:0.743183+0.033841 
## [64] train-mlogloss:0.132962+0.003263    test-mlogloss:0.743432+0.032668 
## [65] train-mlogloss:0.130707+0.003172    test-mlogloss:0.746274+0.031477 
## [66] train-mlogloss:0.128143+0.002962    test-mlogloss:0.747196+0.031648 
## [67] train-mlogloss:0.125272+0.002915    test-mlogloss:0.751223+0.033597 
## [68] train-mlogloss:0.122425+0.002950    test-mlogloss:0.751686+0.033998 
## [69] train-mlogloss:0.120204+0.003195    test-mlogloss:0.754625+0.034738 
## [70] train-mlogloss:0.117534+0.002699    test-mlogloss:0.756951+0.034601 
## [71] train-mlogloss:0.115324+0.002683    test-mlogloss:0.759591+0.034046 
## [72] train-mlogloss:0.113438+0.003045    test-mlogloss:0.760954+0.035187 
## [73] train-mlogloss:0.111212+0.003135    test-mlogloss:0.763700+0.034378 
## [74] train-mlogloss:0.108878+0.002991    test-mlogloss:0.767123+0.034491 
## [75] train-mlogloss:0.106722+0.002657    test-mlogloss:0.770638+0.034878 
## [76] train-mlogloss:0.104411+0.002570    test-mlogloss:0.773066+0.035711 
## [77] train-mlogloss:0.102487+0.002307    test-mlogloss:0.773436+0.035616 
## [78] train-mlogloss:0.100109+0.002183    test-mlogloss:0.776031+0.036861 
## [79] train-mlogloss:0.098183+0.001521    test-mlogloss:0.778036+0.037082 
## [80] train-mlogloss:0.096208+0.001574    test-mlogloss:0.781499+0.038232 
## [81] train-mlogloss:0.094645+0.001474    test-mlogloss:0.783217+0.037208 
## [82] train-mlogloss:0.092846+0.001726    test-mlogloss:0.787135+0.037894 
## [83] train-mlogloss:0.091143+0.001976    test-mlogloss:0.790014+0.038449 
## [84] train-mlogloss:0.089120+0.001966    test-mlogloss:0.793858+0.038773 
## [85] train-mlogloss:0.087551+0.002072    test-mlogloss:0.795781+0.040150 
## [86] train-mlogloss:0.085768+0.001980    test-mlogloss:0.799786+0.039407 
## [87] train-mlogloss:0.084304+0.001812    test-mlogloss:0.800327+0.038606 
## [88] train-mlogloss:0.082723+0.001696    test-mlogloss:0.802872+0.039524 
## [89] train-mlogloss:0.081133+0.001581    test-mlogloss:0.804569+0.039019 
## [90] train-mlogloss:0.079722+0.001346    test-mlogloss:0.805745+0.040946 
## [91] train-mlogloss:0.078141+0.001190    test-mlogloss:0.808582+0.040622 
## [92] train-mlogloss:0.076509+0.001314    test-mlogloss:0.811852+0.040954 
## [93] train-mlogloss:0.074981+0.001382    test-mlogloss:0.815464+0.041145 
## [94] train-mlogloss:0.073742+0.001460    test-mlogloss:0.817528+0.040854 
## [95] train-mlogloss:0.072215+0.001337    test-mlogloss:0.819975+0.041000 
## [96] train-mlogloss:0.070770+0.001273    test-mlogloss:0.822196+0.041558 
## [97] train-mlogloss:0.069602+0.001146    test-mlogloss:0.825367+0.042985 
## [98] train-mlogloss:0.068284+0.001099    test-mlogloss:0.827042+0.041934 
## [99] train-mlogloss:0.067040+0.001299    test-mlogloss:0.828735+0.043490 
## [100]    train-mlogloss:0.065941+0.001339    test-mlogloss:0.830835+0.043393 
## [101]    train-mlogloss:0.064741+0.001247    test-mlogloss:0.832790+0.044168 
## [102]    train-mlogloss:0.063724+0.001368    test-mlogloss:0.834678+0.045418 
## [103]    train-mlogloss:0.062373+0.001333    test-mlogloss:0.836191+0.045441 
## [104]    train-mlogloss:0.061249+0.001481    test-mlogloss:0.839456+0.046978 
## [105]    train-mlogloss:0.060302+0.001590    test-mlogloss:0.840289+0.047018 
## [106]    train-mlogloss:0.059405+0.001550    test-mlogloss:0.842997+0.046200 
## [107]    train-mlogloss:0.058328+0.001542    test-mlogloss:0.843251+0.046266 
## [108]    train-mlogloss:0.057316+0.001426    test-mlogloss:0.845970+0.047680 
## [109]    train-mlogloss:0.056180+0.001344    test-mlogloss:0.847695+0.048203 
## [110]    train-mlogloss:0.055042+0.001294    test-mlogloss:0.851685+0.047865 
## [111]    train-mlogloss:0.054069+0.001231    test-mlogloss:0.853948+0.048433 
## [112]    train-mlogloss:0.053261+0.001329    test-mlogloss:0.855597+0.047045 
## [113]    train-mlogloss:0.052397+0.001237    test-mlogloss:0.857833+0.047196 
## [114]    train-mlogloss:0.051521+0.001040    test-mlogloss:0.860056+0.047202 
## [115]    train-mlogloss:0.050609+0.001033    test-mlogloss:0.862712+0.047412 
## [116]    train-mlogloss:0.049718+0.001008    test-mlogloss:0.864612+0.046555 
## [117]    train-mlogloss:0.048960+0.001007    test-mlogloss:0.865458+0.046119 
## [118]    train-mlogloss:0.048280+0.000925    test-mlogloss:0.867863+0.046078 
## [119]    train-mlogloss:0.047502+0.000977    test-mlogloss:0.870309+0.046263 
## [120]    train-mlogloss:0.046666+0.000867    test-mlogloss:0.873188+0.046589 
## [121]    train-mlogloss:0.045876+0.000743    test-mlogloss:0.874693+0.045970 
## [122]    train-mlogloss:0.045061+0.000718    test-mlogloss:0.875972+0.045179 
## [123]    train-mlogloss:0.044289+0.000761    test-mlogloss:0.878880+0.046243 
## [124]    train-mlogloss:0.043574+0.000724    test-mlogloss:0.879829+0.046460 
## [125]    train-mlogloss:0.042862+0.000739    test-mlogloss:0.881764+0.046353 
## [126]    train-mlogloss:0.042010+0.000591    test-mlogloss:0.882629+0.048254 
## [127]    train-mlogloss:0.041336+0.000627    test-mlogloss:0.884281+0.048389 
## [128]    train-mlogloss:0.040650+0.000610    test-mlogloss:0.885588+0.047752 
## [129]    train-mlogloss:0.039964+0.000586    test-mlogloss:0.887124+0.048504 
## [130]    train-mlogloss:0.039265+0.000490    test-mlogloss:0.889713+0.048715 
## [131]    train-mlogloss:0.038700+0.000392    test-mlogloss:0.892535+0.048020 
## [132]    train-mlogloss:0.038158+0.000458    test-mlogloss:0.893669+0.049208 
## [133]    train-mlogloss:0.037534+0.000444    test-mlogloss:0.894541+0.050737 
## [134]    train-mlogloss:0.036932+0.000450    test-mlogloss:0.897133+0.052181 
## [135]    train-mlogloss:0.036377+0.000449    test-mlogloss:0.898697+0.051075 
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## [138]    train-mlogloss:0.034740+0.000600    test-mlogloss:0.905308+0.054661 
## [139]    train-mlogloss:0.034253+0.000609    test-mlogloss:0.907243+0.055096 
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## [142]    train-mlogloss:0.032705+0.000526    test-mlogloss:0.911139+0.054628 
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## [144]    train-mlogloss:0.031721+0.000662    test-mlogloss:0.915514+0.055742 
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## [148]    train-mlogloss:0.029972+0.000573    test-mlogloss:0.923816+0.055153 
## [149]    train-mlogloss:0.029503+0.000524    test-mlogloss:0.925242+0.055219 
## [150]    train-mlogloss:0.029178+0.000515    test-mlogloss:0.927839+0.055244 
## [151]    train-mlogloss:0.028797+0.000524    test-mlogloss:0.928505+0.055701 
## [152]    train-mlogloss:0.028478+0.000548    test-mlogloss:0.928950+0.055099 
## [153]    train-mlogloss:0.028088+0.000559    test-mlogloss:0.931070+0.054992 
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## [155]    train-mlogloss:0.027289+0.000595    test-mlogloss:0.933906+0.057780 
## [156]    train-mlogloss:0.026873+0.000560    test-mlogloss:0.935569+0.058311 
## [157]    train-mlogloss:0.026525+0.000631    test-mlogloss:0.937053+0.058246 
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## [159]    train-mlogloss:0.025819+0.000619    test-mlogloss:0.940325+0.057294 
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## [396]    train-mlogloss:0.004021+0.000078    test-mlogloss:1.216718+0.073997 
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## [399]    train-mlogloss:0.003966+0.000077    test-mlogloss:1.217789+0.073802 
## [400]    train-mlogloss:0.003945+0.000078    test-mlogloss:1.218323+0.073727 
## [401]    train-mlogloss:0.003930+0.000074    test-mlogloss:1.219403+0.073843 
## [402]    train-mlogloss:0.003916+0.000073    test-mlogloss:1.219934+0.074262 
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## [404]    train-mlogloss:0.003889+0.000075    test-mlogloss:1.221266+0.074214 
## [405]    train-mlogloss:0.003872+0.000078    test-mlogloss:1.221999+0.074950 
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## [411]    train-mlogloss:0.003779+0.000073    test-mlogloss:1.225921+0.075741 
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## [413]    train-mlogloss:0.003750+0.000072    test-mlogloss:1.227279+0.075659 
## [414]    train-mlogloss:0.003736+0.000071    test-mlogloss:1.227293+0.075588 
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## [416]    train-mlogloss:0.003711+0.000072    test-mlogloss:1.228502+0.076081 
## [417]    train-mlogloss:0.003699+0.000071    test-mlogloss:1.229021+0.076106 
## [418]    train-mlogloss:0.003684+0.000070    test-mlogloss:1.229529+0.075879 
## [419]    train-mlogloss:0.003666+0.000070    test-mlogloss:1.230935+0.075536 
## [420]    train-mlogloss:0.003654+0.000071    test-mlogloss:1.231598+0.075639 
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## [422]    train-mlogloss:0.003623+0.000074    test-mlogloss:1.233619+0.075764 
## [423]    train-mlogloss:0.003610+0.000074    test-mlogloss:1.233755+0.076099 
## [424]    train-mlogloss:0.003596+0.000075    test-mlogloss:1.234967+0.075721 
## [425]    train-mlogloss:0.003582+0.000076    test-mlogloss:1.235523+0.075798 
## [426]    train-mlogloss:0.003569+0.000073    test-mlogloss:1.235976+0.076595 
## [427]    train-mlogloss:0.003558+0.000071    test-mlogloss:1.236077+0.076000 
## [428]    train-mlogloss:0.003543+0.000070    test-mlogloss:1.237028+0.076140 
## [429]    train-mlogloss:0.003529+0.000073    test-mlogloss:1.237147+0.076510 
## [430]    train-mlogloss:0.003516+0.000071    test-mlogloss:1.238237+0.076500 
## [431]    train-mlogloss:0.003503+0.000070    test-mlogloss:1.239038+0.077129 
## [432]    train-mlogloss:0.003490+0.000069    test-mlogloss:1.240099+0.075836 
## [433]    train-mlogloss:0.003477+0.000064    test-mlogloss:1.241015+0.075976 
## [434]    train-mlogloss:0.003464+0.000063    test-mlogloss:1.240974+0.076051 
## [435]    train-mlogloss:0.003454+0.000064    test-mlogloss:1.242143+0.075816 
## [436]    train-mlogloss:0.003444+0.000064    test-mlogloss:1.242036+0.075628 
## [437]    train-mlogloss:0.003432+0.000065    test-mlogloss:1.242974+0.074959 
## [438]    train-mlogloss:0.003419+0.000063    test-mlogloss:1.243302+0.075289 
## [439]    train-mlogloss:0.003405+0.000064    test-mlogloss:1.244409+0.075300 
## [440]    train-mlogloss:0.003391+0.000061    test-mlogloss:1.245070+0.075761 
## [441]    train-mlogloss:0.003381+0.000061    test-mlogloss:1.245616+0.075568 
## [442]    train-mlogloss:0.003366+0.000061    test-mlogloss:1.246008+0.075482 
## [443]    train-mlogloss:0.003351+0.000061    test-mlogloss:1.246753+0.074944 
## [444]    train-mlogloss:0.003338+0.000061    test-mlogloss:1.247646+0.075527 
## [445]    train-mlogloss:0.003326+0.000060    test-mlogloss:1.247797+0.074873 
## [446]    train-mlogloss:0.003316+0.000062    test-mlogloss:1.249316+0.075400 
## [447]    train-mlogloss:0.003305+0.000062    test-mlogloss:1.249498+0.074559 
## [448]    train-mlogloss:0.003295+0.000064    test-mlogloss:1.250262+0.075260 
## [449]    train-mlogloss:0.003284+0.000062    test-mlogloss:1.250837+0.075054 
## [450]    train-mlogloss:0.003275+0.000062    test-mlogloss:1.251464+0.074266 
## [451]    train-mlogloss:0.003266+0.000062    test-mlogloss:1.251418+0.074790 
## [452]    train-mlogloss:0.003257+0.000063    test-mlogloss:1.252493+0.074877 
## [453]    train-mlogloss:0.003248+0.000063    test-mlogloss:1.252720+0.075307 
## [454]    train-mlogloss:0.003237+0.000063    test-mlogloss:1.253611+0.074958 
## [455]    train-mlogloss:0.003226+0.000063    test-mlogloss:1.253926+0.074912 
## [456]    train-mlogloss:0.003214+0.000064    test-mlogloss:1.254310+0.074519 
## [457]    train-mlogloss:0.003206+0.000065    test-mlogloss:1.254579+0.074627 
## [458]    train-mlogloss:0.003194+0.000064    test-mlogloss:1.255049+0.074569 
## [459]    train-mlogloss:0.003183+0.000061    test-mlogloss:1.254919+0.074934 
## [460]    train-mlogloss:0.003172+0.000061    test-mlogloss:1.256017+0.075145 
## [461]    train-mlogloss:0.003162+0.000062    test-mlogloss:1.255913+0.075004 
## [462]    train-mlogloss:0.003149+0.000062    test-mlogloss:1.256291+0.075126 
## [463]    train-mlogloss:0.003140+0.000060    test-mlogloss:1.256946+0.075201 
## [464]    train-mlogloss:0.003130+0.000059    test-mlogloss:1.257532+0.075887 
## [465]    train-mlogloss:0.003120+0.000059    test-mlogloss:1.258053+0.074454 
## [466]    train-mlogloss:0.003110+0.000059    test-mlogloss:1.258492+0.075483 
## [467]    train-mlogloss:0.003098+0.000058    test-mlogloss:1.258623+0.075333 
## [468]    train-mlogloss:0.003088+0.000059    test-mlogloss:1.259459+0.075651 
## [469]    train-mlogloss:0.003077+0.000058    test-mlogloss:1.259612+0.075373 
## [470]    train-mlogloss:0.003068+0.000056    test-mlogloss:1.260207+0.076403 
## [471]    train-mlogloss:0.003057+0.000056    test-mlogloss:1.260879+0.076216 
## [472]    train-mlogloss:0.003046+0.000057    test-mlogloss:1.261451+0.076975 
## [473]    train-mlogloss:0.003035+0.000055    test-mlogloss:1.262513+0.076569 
## [474]    train-mlogloss:0.003026+0.000054    test-mlogloss:1.262465+0.076377 
## [475]    train-mlogloss:0.003016+0.000055    test-mlogloss:1.262824+0.076972 
## [476]    train-mlogloss:0.003007+0.000055    test-mlogloss:1.263587+0.077367 
## [477]    train-mlogloss:0.002998+0.000054    test-mlogloss:1.264300+0.077451 
## [478]    train-mlogloss:0.002988+0.000054    test-mlogloss:1.265119+0.077735 
## [479]    train-mlogloss:0.002980+0.000054    test-mlogloss:1.265747+0.078559 
## [480]    train-mlogloss:0.002971+0.000054    test-mlogloss:1.266097+0.078112 
## [481]    train-mlogloss:0.002962+0.000053    test-mlogloss:1.266798+0.078739 
## [482]    train-mlogloss:0.002952+0.000052    test-mlogloss:1.266449+0.078862 
## [483]    train-mlogloss:0.002942+0.000051    test-mlogloss:1.266917+0.079156 
## [484]    train-mlogloss:0.002934+0.000051    test-mlogloss:1.267928+0.078748 
## [485]    train-mlogloss:0.002925+0.000049    test-mlogloss:1.267783+0.079106 
## [486]    train-mlogloss:0.002916+0.000049    test-mlogloss:1.268398+0.078471 
## [487]    train-mlogloss:0.002908+0.000049    test-mlogloss:1.270069+0.077640 
## [488]    train-mlogloss:0.002900+0.000049    test-mlogloss:1.270278+0.078216 
## [489]    train-mlogloss:0.002892+0.000048    test-mlogloss:1.270398+0.077375 
## [490]    train-mlogloss:0.002884+0.000047    test-mlogloss:1.271255+0.077600 
## [491]    train-mlogloss:0.002876+0.000046    test-mlogloss:1.271363+0.077810 
## [492]    train-mlogloss:0.002868+0.000044    test-mlogloss:1.271739+0.078231 
## [493]    train-mlogloss:0.002860+0.000044    test-mlogloss:1.271198+0.077868 
## [494]    train-mlogloss:0.002850+0.000042    test-mlogloss:1.271921+0.077436 
## [495]    train-mlogloss:0.002842+0.000040    test-mlogloss:1.272545+0.077313 
## [496]    train-mlogloss:0.002834+0.000041    test-mlogloss:1.272853+0.077706 
## [497]    train-mlogloss:0.002825+0.000042    test-mlogloss:1.273300+0.077287 
## [498]    train-mlogloss:0.002818+0.000043    test-mlogloss:1.274411+0.077086 
## [499]    train-mlogloss:0.002811+0.000043    test-mlogloss:1.274445+0.076907 
## [500]    train-mlogloss:0.002802+0.000042    test-mlogloss:1.274896+0.077438 
## [1]  train-mlogloss:0.315271+0.002627    test-mlogloss:0.614760+0.012479 
## [2]  train-mlogloss:0.189882+0.001892    test-mlogloss:0.639675+0.012454 
## [3]  train-mlogloss:0.130869+0.005114    test-mlogloss:0.667083+0.013562 
## [4]  train-mlogloss:0.103057+0.002725    test-mlogloss:0.687219+0.015935 
## [5]  train-mlogloss:0.081833+0.003376    test-mlogloss:0.707189+0.018763 
## [6]  train-mlogloss:0.066476+0.002891    test-mlogloss:0.726323+0.019721 
## [7]  train-mlogloss:0.054881+0.002668    test-mlogloss:0.739952+0.024696 
## [8]  train-mlogloss:0.045810+0.001997    test-mlogloss:0.753978+0.025454 
## [9]  train-mlogloss:0.039468+0.001250    test-mlogloss:0.767155+0.028914 
## [10] train-mlogloss:0.034249+0.001022    test-mlogloss:0.782683+0.028100 
## [11] train-mlogloss:0.030632+0.000917    test-mlogloss:0.793533+0.029350 
## [12] train-mlogloss:0.027519+0.000872    test-mlogloss:0.804908+0.030391 
## [13] train-mlogloss:0.024924+0.000705    test-mlogloss:0.813914+0.030399 
## [14] train-mlogloss:0.022806+0.000623    test-mlogloss:0.823310+0.030518 
## [15] train-mlogloss:0.021003+0.000500    test-mlogloss:0.830698+0.031184 
## [16] train-mlogloss:0.019515+0.000412    test-mlogloss:0.835808+0.031150 
## [17] train-mlogloss:0.018211+0.000370    test-mlogloss:0.842734+0.031748 
## [18] train-mlogloss:0.017054+0.000330    test-mlogloss:0.848506+0.032069 
## [19] train-mlogloss:0.016044+0.000301    test-mlogloss:0.853845+0.033385 
## [20] train-mlogloss:0.015162+0.000277    test-mlogloss:0.858979+0.033420 
## [21] train-mlogloss:0.014382+0.000253    test-mlogloss:0.865347+0.034433 
## [22] train-mlogloss:0.013680+0.000253    test-mlogloss:0.869356+0.035947 
## [23] train-mlogloss:0.013062+0.000255    test-mlogloss:0.875878+0.034322 
## [24] train-mlogloss:0.012503+0.000233    test-mlogloss:0.880378+0.036627 
## [25] train-mlogloss:0.012008+0.000215    test-mlogloss:0.886117+0.036655 
## [26] train-mlogloss:0.011549+0.000196    test-mlogloss:0.890576+0.037397 
## [27] train-mlogloss:0.011108+0.000185    test-mlogloss:0.893676+0.036904 
## [28] train-mlogloss:0.010705+0.000181    test-mlogloss:0.898365+0.037266 
## [29] train-mlogloss:0.010344+0.000165    test-mlogloss:0.902407+0.037228 
## [30] train-mlogloss:0.010010+0.000157    test-mlogloss:0.906392+0.038186 
## [31] train-mlogloss:0.009707+0.000147    test-mlogloss:0.908884+0.038736 
## [32] train-mlogloss:0.009414+0.000131    test-mlogloss:0.913332+0.038839 
## [33] train-mlogloss:0.009133+0.000129    test-mlogloss:0.915986+0.038066 
## [34] train-mlogloss:0.008878+0.000127    test-mlogloss:0.920363+0.038455 
## [35] train-mlogloss:0.008647+0.000125    test-mlogloss:0.924287+0.037319 
## [36] train-mlogloss:0.008428+0.000120    test-mlogloss:0.927786+0.036972 
## [37] train-mlogloss:0.008216+0.000113    test-mlogloss:0.930140+0.037189 
## [38] train-mlogloss:0.008020+0.000111    test-mlogloss:0.933884+0.036631 
## [39] train-mlogloss:0.007832+0.000110    test-mlogloss:0.938024+0.037226 
## [40] train-mlogloss:0.007652+0.000105    test-mlogloss:0.939705+0.038259 
## [41] train-mlogloss:0.007483+0.000096    test-mlogloss:0.942953+0.039664 
## [42] train-mlogloss:0.007320+0.000093    test-mlogloss:0.946676+0.040368 
## [43] train-mlogloss:0.007162+0.000092    test-mlogloss:0.949742+0.039308 
## [44] train-mlogloss:0.007015+0.000088    test-mlogloss:0.951438+0.038420 
## [45] train-mlogloss:0.006883+0.000086    test-mlogloss:0.954072+0.039052 
## [46] train-mlogloss:0.006747+0.000083    test-mlogloss:0.955582+0.040291 
## [47] train-mlogloss:0.006623+0.000076    test-mlogloss:0.959102+0.040298 
## [48] train-mlogloss:0.006504+0.000075    test-mlogloss:0.959640+0.038935 
## [49] train-mlogloss:0.006400+0.000075    test-mlogloss:0.961268+0.039294 
## [50] train-mlogloss:0.006290+0.000073    test-mlogloss:0.963359+0.039224 
## [51] train-mlogloss:0.006190+0.000057    test-mlogloss:0.966227+0.039196 
## [52] train-mlogloss:0.006090+0.000050    test-mlogloss:0.969162+0.038517 
## [53] train-mlogloss:0.005990+0.000051    test-mlogloss:0.971085+0.038043 
## [54] train-mlogloss:0.005896+0.000052    test-mlogloss:0.974103+0.038444 
## [55] train-mlogloss:0.005805+0.000051    test-mlogloss:0.976073+0.038864 
## [56] train-mlogloss:0.005718+0.000049    test-mlogloss:0.977450+0.039226 
## [57] train-mlogloss:0.005634+0.000046    test-mlogloss:0.978885+0.038944 
## [58] train-mlogloss:0.005551+0.000042    test-mlogloss:0.981393+0.040088 
## [59] train-mlogloss:0.005470+0.000039    test-mlogloss:0.983818+0.039755 
## [60] train-mlogloss:0.005397+0.000038    test-mlogloss:0.986351+0.040213 
## [61] train-mlogloss:0.005325+0.000038    test-mlogloss:0.988625+0.039719 
## [62] train-mlogloss:0.005257+0.000035    test-mlogloss:0.989871+0.039255 
## [63] train-mlogloss:0.005194+0.000039    test-mlogloss:0.990733+0.038588 
## [64] train-mlogloss:0.005128+0.000039    test-mlogloss:0.992473+0.038756 
## [65] train-mlogloss:0.005065+0.000037    test-mlogloss:0.994388+0.038679 
## [66] train-mlogloss:0.005003+0.000038    test-mlogloss:0.996327+0.039077 
## [67] train-mlogloss:0.004948+0.000037    test-mlogloss:0.997106+0.039823 
## [68] train-mlogloss:0.004891+0.000037    test-mlogloss:0.998756+0.040572 
## [69] train-mlogloss:0.004835+0.000038    test-mlogloss:1.000925+0.040895 
## [70] train-mlogloss:0.004780+0.000038    test-mlogloss:1.001829+0.041053 
## [71] train-mlogloss:0.004727+0.000039    test-mlogloss:1.004885+0.040071 
## [72] train-mlogloss:0.004680+0.000038    test-mlogloss:1.006329+0.040662 
## [73] train-mlogloss:0.004632+0.000040    test-mlogloss:1.006420+0.040732 
## [74] train-mlogloss:0.004587+0.000040    test-mlogloss:1.007480+0.039909 
## [75] train-mlogloss:0.004539+0.000039    test-mlogloss:1.008907+0.041137 
## [76] train-mlogloss:0.004489+0.000038    test-mlogloss:1.010127+0.039895 
## [77] train-mlogloss:0.004445+0.000040    test-mlogloss:1.011785+0.040185 
## [78] train-mlogloss:0.004403+0.000038    test-mlogloss:1.012565+0.039951 
## [79] train-mlogloss:0.004358+0.000035    test-mlogloss:1.014787+0.040835 
## [80] train-mlogloss:0.004315+0.000034    test-mlogloss:1.016579+0.040201 
## [81] train-mlogloss:0.004274+0.000035    test-mlogloss:1.017508+0.041148 
## [82] train-mlogloss:0.004233+0.000036    test-mlogloss:1.019300+0.041181 
## [83] train-mlogloss:0.004196+0.000032    test-mlogloss:1.021385+0.041137 
## [84] train-mlogloss:0.004159+0.000032    test-mlogloss:1.022104+0.041397 
## [85] train-mlogloss:0.004123+0.000031    test-mlogloss:1.023317+0.040548 
## [86] train-mlogloss:0.004087+0.000031    test-mlogloss:1.024941+0.041223 
## [87] train-mlogloss:0.004051+0.000031    test-mlogloss:1.026621+0.041451 
## [88] train-mlogloss:0.004019+0.000032    test-mlogloss:1.027897+0.042129 
## [89] train-mlogloss:0.003986+0.000032    test-mlogloss:1.029125+0.042123 
## [90] train-mlogloss:0.003952+0.000031    test-mlogloss:1.029961+0.041465 
## [91] train-mlogloss:0.003919+0.000028    test-mlogloss:1.030983+0.041964 
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## [493]    train-mlogloss:0.001331+0.000004    test-mlogloss:1.200896+0.042740 
## [494]    train-mlogloss:0.001329+0.000004    test-mlogloss:1.201142+0.042901 
## [495]    train-mlogloss:0.001328+0.000004    test-mlogloss:1.201332+0.042160 
## [496]    train-mlogloss:0.001326+0.000004    test-mlogloss:1.201597+0.042507 
## [497]    train-mlogloss:0.001324+0.000004    test-mlogloss:1.201517+0.042838 
## [498]    train-mlogloss:0.001323+0.000004    test-mlogloss:1.201796+0.042846 
## [499]    train-mlogloss:0.001322+0.000004    test-mlogloss:1.202099+0.042515 
## [500]    train-mlogloss:0.001320+0.000004    test-mlogloss:1.201588+0.042371 
## [1]  train-mlogloss:0.613671+0.001166    test-mlogloss:0.621381+0.003867 
## [2]  train-mlogloss:0.569541+0.001780    test-mlogloss:0.583686+0.005663 
## [3]  train-mlogloss:0.542178+0.002334    test-mlogloss:0.563664+0.007211 
## [4]  train-mlogloss:0.524050+0.002683    test-mlogloss:0.552257+0.009318 
## [5]  train-mlogloss:0.511570+0.002867    test-mlogloss:0.545938+0.011248 
## [6]  train-mlogloss:0.502662+0.002913    test-mlogloss:0.542268+0.011819 
## [7]  train-mlogloss:0.495335+0.003192    test-mlogloss:0.540035+0.012389 
## [8]  train-mlogloss:0.489305+0.003499    test-mlogloss:0.539252+0.012731 
## [9]  train-mlogloss:0.484770+0.003575    test-mlogloss:0.538684+0.013446 
## [10] train-mlogloss:0.480206+0.003599    test-mlogloss:0.539346+0.013832 
## [11] train-mlogloss:0.476142+0.003453    test-mlogloss:0.538756+0.014179 
## [12] train-mlogloss:0.473740+0.003705    test-mlogloss:0.538738+0.014446 
## [13] train-mlogloss:0.470246+0.003358    test-mlogloss:0.539566+0.014577 
## [14] train-mlogloss:0.466639+0.003794    test-mlogloss:0.539708+0.015642 
## [15] train-mlogloss:0.464098+0.002852    test-mlogloss:0.540196+0.015438 
## [16] train-mlogloss:0.462053+0.003178    test-mlogloss:0.540679+0.015576 
## [17] train-mlogloss:0.461064+0.003445    test-mlogloss:0.541019+0.015727 
## [18] train-mlogloss:0.458880+0.003702    test-mlogloss:0.542299+0.016202 
## [19] train-mlogloss:0.456308+0.003929    test-mlogloss:0.543349+0.016354 
## [20] train-mlogloss:0.452480+0.003677    test-mlogloss:0.545100+0.016692 
## [21] train-mlogloss:0.449972+0.003875    test-mlogloss:0.545546+0.016149 
## [22] train-mlogloss:0.448280+0.003613    test-mlogloss:0.545732+0.016340 
## [23] train-mlogloss:0.445699+0.003334    test-mlogloss:0.545582+0.016384 
## [24] train-mlogloss:0.443540+0.003348    test-mlogloss:0.545774+0.016222 
## [25] train-mlogloss:0.441037+0.003806    test-mlogloss:0.546132+0.016688 
## [26] train-mlogloss:0.440351+0.003682    test-mlogloss:0.546493+0.016315 
## [27] train-mlogloss:0.438930+0.004163    test-mlogloss:0.546508+0.016284 
## [28] train-mlogloss:0.437161+0.004152    test-mlogloss:0.546763+0.016643 
## [29] train-mlogloss:0.434298+0.004707    test-mlogloss:0.547883+0.016717 
## [30] train-mlogloss:0.431875+0.004952    test-mlogloss:0.548939+0.017420 
## [31] train-mlogloss:0.429141+0.005179    test-mlogloss:0.549806+0.017486 
## [32] train-mlogloss:0.425936+0.006050    test-mlogloss:0.550773+0.018194 
## [33] train-mlogloss:0.422958+0.005942    test-mlogloss:0.551709+0.018220 
## [34] train-mlogloss:0.420723+0.006086    test-mlogloss:0.552364+0.018455 
## [35] train-mlogloss:0.418690+0.006237    test-mlogloss:0.552962+0.018513 
## [36] train-mlogloss:0.416242+0.007135    test-mlogloss:0.553339+0.018998 
## [37] train-mlogloss:0.413486+0.006822    test-mlogloss:0.554183+0.019373 
## [38] train-mlogloss:0.410769+0.006126    test-mlogloss:0.554510+0.018977 
## [39] train-mlogloss:0.407821+0.005469    test-mlogloss:0.555185+0.018970 
## [40] train-mlogloss:0.405229+0.005756    test-mlogloss:0.555770+0.018193 
## [41] train-mlogloss:0.403134+0.006167    test-mlogloss:0.556772+0.018463 
## [42] train-mlogloss:0.401552+0.005455    test-mlogloss:0.556902+0.018499 
## [43] train-mlogloss:0.399958+0.005337    test-mlogloss:0.557724+0.019092 
## [44] train-mlogloss:0.397253+0.005234    test-mlogloss:0.558890+0.019268 
## [45] train-mlogloss:0.395694+0.006002    test-mlogloss:0.559910+0.020379 
## [46] train-mlogloss:0.394101+0.006546    test-mlogloss:0.560354+0.020927 
## [47] train-mlogloss:0.392667+0.006454    test-mlogloss:0.560828+0.020459 
## [48] train-mlogloss:0.391292+0.006981    test-mlogloss:0.561453+0.021139 
## [49] train-mlogloss:0.389236+0.007713    test-mlogloss:0.561826+0.021361 
## [50] train-mlogloss:0.386874+0.007571    test-mlogloss:0.562436+0.022197 
## [51] train-mlogloss:0.384248+0.007143    test-mlogloss:0.563317+0.022117 
## [52] train-mlogloss:0.383257+0.007065    test-mlogloss:0.563542+0.021759 
## [53] train-mlogloss:0.381665+0.007030    test-mlogloss:0.563788+0.022018 
## [54] train-mlogloss:0.379480+0.007271    test-mlogloss:0.563818+0.022106 
## [55] train-mlogloss:0.377490+0.006753    test-mlogloss:0.564399+0.022206 
## [56] train-mlogloss:0.375847+0.007606    test-mlogloss:0.564538+0.022464 
## [57] train-mlogloss:0.373788+0.006851    test-mlogloss:0.565279+0.022268 
## [58] train-mlogloss:0.372307+0.007293    test-mlogloss:0.565550+0.021861 
## [59] train-mlogloss:0.370971+0.007768    test-mlogloss:0.566241+0.021949 
## [60] train-mlogloss:0.369942+0.007887    test-mlogloss:0.566829+0.022139 
## [61] train-mlogloss:0.368220+0.007435    test-mlogloss:0.567524+0.022162 
## [62] train-mlogloss:0.366735+0.007964    test-mlogloss:0.568096+0.022619 
## [63] train-mlogloss:0.365309+0.008913    test-mlogloss:0.568978+0.023018 
## [64] train-mlogloss:0.363924+0.008513    test-mlogloss:0.569505+0.023089 
## [65] train-mlogloss:0.361644+0.009238    test-mlogloss:0.570684+0.023703 
## [66] train-mlogloss:0.359477+0.009384    test-mlogloss:0.571129+0.024222 
## [67] train-mlogloss:0.357242+0.010158    test-mlogloss:0.571865+0.024608 
## [68] train-mlogloss:0.355650+0.009943    test-mlogloss:0.572121+0.024095 
## [69] train-mlogloss:0.354008+0.009120    test-mlogloss:0.572644+0.024028 
## [70] train-mlogloss:0.351616+0.009212    test-mlogloss:0.574030+0.024154 
## [71] train-mlogloss:0.349621+0.008802    test-mlogloss:0.574580+0.023911 
## [72] train-mlogloss:0.347319+0.007906    test-mlogloss:0.575219+0.023698 
## [73] train-mlogloss:0.345370+0.007622    test-mlogloss:0.575632+0.023782 
## [74] train-mlogloss:0.343461+0.007216    test-mlogloss:0.576331+0.023572 
## [75] train-mlogloss:0.340951+0.007178    test-mlogloss:0.577343+0.023325 
## [76] train-mlogloss:0.338713+0.007292    test-mlogloss:0.577860+0.023417 
## [77] train-mlogloss:0.336720+0.007383    test-mlogloss:0.579050+0.023709 
## [78] train-mlogloss:0.335403+0.008149    test-mlogloss:0.579129+0.023686 
## [79] train-mlogloss:0.333508+0.008126    test-mlogloss:0.579996+0.024209 
## [80] train-mlogloss:0.331355+0.008435    test-mlogloss:0.580032+0.023903 
## [81] train-mlogloss:0.330474+0.008474    test-mlogloss:0.580532+0.024075 
## [82] train-mlogloss:0.328524+0.009091    test-mlogloss:0.580741+0.024412 
## [83] train-mlogloss:0.327372+0.008790    test-mlogloss:0.581212+0.024343 
## [84] train-mlogloss:0.325899+0.009595    test-mlogloss:0.581711+0.024311 
## [85] train-mlogloss:0.324562+0.009973    test-mlogloss:0.582183+0.024804 
## [86] train-mlogloss:0.323287+0.010467    test-mlogloss:0.582581+0.025086 
## [87] train-mlogloss:0.322039+0.010559    test-mlogloss:0.582711+0.025234 
## [88] train-mlogloss:0.320412+0.011115    test-mlogloss:0.583371+0.025339 
## [89] train-mlogloss:0.318450+0.010878    test-mlogloss:0.583737+0.025100 
## [90] train-mlogloss:0.316667+0.010908    test-mlogloss:0.584302+0.025348 
## [91] train-mlogloss:0.314913+0.011056    test-mlogloss:0.585357+0.025872 
## [92] train-mlogloss:0.312068+0.010679    test-mlogloss:0.586157+0.025646 
## [93] train-mlogloss:0.309647+0.010462    test-mlogloss:0.586626+0.025448 
## [94] train-mlogloss:0.307353+0.009858    test-mlogloss:0.587479+0.025385 
## [95] train-mlogloss:0.305289+0.010194    test-mlogloss:0.588620+0.025890 
## [96] train-mlogloss:0.303399+0.010129    test-mlogloss:0.589850+0.025547 
## [97] train-mlogloss:0.301197+0.010032    test-mlogloss:0.590865+0.026376 
## [98] train-mlogloss:0.299346+0.009941    test-mlogloss:0.591224+0.026127 
## [99] train-mlogloss:0.298071+0.009308    test-mlogloss:0.591252+0.026047 
## [100]    train-mlogloss:0.296711+0.009083    test-mlogloss:0.591218+0.026396 
## [101]    train-mlogloss:0.295186+0.009162    test-mlogloss:0.591555+0.026009 
## [102]    train-mlogloss:0.293404+0.009304    test-mlogloss:0.591625+0.026097 
## [103]    train-mlogloss:0.292077+0.008491    test-mlogloss:0.592207+0.025740 
## [104]    train-mlogloss:0.290718+0.008881    test-mlogloss:0.593115+0.026440 
## [105]    train-mlogloss:0.289480+0.009031    test-mlogloss:0.593210+0.026582 
## [106]    train-mlogloss:0.287757+0.008948    test-mlogloss:0.593679+0.027114 
## [107]    train-mlogloss:0.286308+0.008882    test-mlogloss:0.594943+0.027890 
## [108]    train-mlogloss:0.284958+0.008925    test-mlogloss:0.595200+0.027838 
## [109]    train-mlogloss:0.283674+0.009108    test-mlogloss:0.595793+0.028068 
## [110]    train-mlogloss:0.281988+0.008888    test-mlogloss:0.596373+0.028761 
## [111]    train-mlogloss:0.279846+0.009036    test-mlogloss:0.596883+0.028846 
## [112]    train-mlogloss:0.278836+0.008766    test-mlogloss:0.597200+0.028531 
## [113]    train-mlogloss:0.277720+0.008193    test-mlogloss:0.597629+0.028772 
## [114]    train-mlogloss:0.275722+0.007089    test-mlogloss:0.598066+0.028498 
## [115]    train-mlogloss:0.274190+0.007099    test-mlogloss:0.598615+0.027976 
## [116]    train-mlogloss:0.273453+0.007362    test-mlogloss:0.598714+0.027921 
## [117]    train-mlogloss:0.271945+0.006718    test-mlogloss:0.599272+0.027468 
## [118]    train-mlogloss:0.270732+0.006704    test-mlogloss:0.599512+0.027254 
## [119]    train-mlogloss:0.269873+0.006328    test-mlogloss:0.600010+0.027376 
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## [402]    train-mlogloss:0.071264+0.002931    test-mlogloss:0.746321+0.038322 
## [403]    train-mlogloss:0.071071+0.002896    test-mlogloss:0.746780+0.038486 
## [404]    train-mlogloss:0.070746+0.002954    test-mlogloss:0.747188+0.038234 
## [405]    train-mlogloss:0.070451+0.002933    test-mlogloss:0.747728+0.038256 
## [406]    train-mlogloss:0.070238+0.002900    test-mlogloss:0.748149+0.037869 
## [407]    train-mlogloss:0.069987+0.002937    test-mlogloss:0.748771+0.038036 
## [408]    train-mlogloss:0.069552+0.003078    test-mlogloss:0.749417+0.037940 
## [409]    train-mlogloss:0.069142+0.003005    test-mlogloss:0.749722+0.037741 
## [410]    train-mlogloss:0.068818+0.003082    test-mlogloss:0.750391+0.038315 
## [411]    train-mlogloss:0.068443+0.003069    test-mlogloss:0.750967+0.038583 
## [412]    train-mlogloss:0.068043+0.002928    test-mlogloss:0.751659+0.038467 
## [413]    train-mlogloss:0.067671+0.002886    test-mlogloss:0.752028+0.038248 
## [414]    train-mlogloss:0.067168+0.002970    test-mlogloss:0.752007+0.038610 
## [415]    train-mlogloss:0.066934+0.002864    test-mlogloss:0.752663+0.038606 
## [416]    train-mlogloss:0.066739+0.002782    test-mlogloss:0.752897+0.038430 
## [417]    train-mlogloss:0.066527+0.002661    test-mlogloss:0.753123+0.038384 
## [418]    train-mlogloss:0.066309+0.002640    test-mlogloss:0.753423+0.038689 
## [419]    train-mlogloss:0.066088+0.002540    test-mlogloss:0.753665+0.038372 
## [420]    train-mlogloss:0.065756+0.002386    test-mlogloss:0.754029+0.038289 
## [421]    train-mlogloss:0.065419+0.002310    test-mlogloss:0.754533+0.038310 
## [422]    train-mlogloss:0.065244+0.002335    test-mlogloss:0.755054+0.038405 
## [423]    train-mlogloss:0.064979+0.002183    test-mlogloss:0.755169+0.038240 
## [424]    train-mlogloss:0.064652+0.002115    test-mlogloss:0.755688+0.038645 
## [425]    train-mlogloss:0.064331+0.001993    test-mlogloss:0.756193+0.038031 
## [426]    train-mlogloss:0.064192+0.001945    test-mlogloss:0.756637+0.038046 
## [427]    train-mlogloss:0.063856+0.001951    test-mlogloss:0.757135+0.037972 
## [428]    train-mlogloss:0.063662+0.001996    test-mlogloss:0.757771+0.038146 
## [429]    train-mlogloss:0.063512+0.002052    test-mlogloss:0.758141+0.038137 
## [430]    train-mlogloss:0.063292+0.002101    test-mlogloss:0.758922+0.038317 
## [431]    train-mlogloss:0.062985+0.002037    test-mlogloss:0.759506+0.037796 
## [432]    train-mlogloss:0.062614+0.002039    test-mlogloss:0.760277+0.037410 
## [433]    train-mlogloss:0.062387+0.002019    test-mlogloss:0.760969+0.037682 
## [434]    train-mlogloss:0.062125+0.002011    test-mlogloss:0.761431+0.037688 
## [435]    train-mlogloss:0.061945+0.002077    test-mlogloss:0.762020+0.037723 
## [436]    train-mlogloss:0.061750+0.002056    test-mlogloss:0.762206+0.037643 
## [437]    train-mlogloss:0.061514+0.002011    test-mlogloss:0.762642+0.037635 
## [438]    train-mlogloss:0.061298+0.002066    test-mlogloss:0.763103+0.037746 
## [439]    train-mlogloss:0.061074+0.002065    test-mlogloss:0.763491+0.037889 
## [440]    train-mlogloss:0.060808+0.002136    test-mlogloss:0.763864+0.038296 
## [441]    train-mlogloss:0.060621+0.002110    test-mlogloss:0.764722+0.038296 
## [442]    train-mlogloss:0.060411+0.002194    test-mlogloss:0.764969+0.038565 
## [443]    train-mlogloss:0.060251+0.002173    test-mlogloss:0.764994+0.038561 
## [444]    train-mlogloss:0.059931+0.002176    test-mlogloss:0.764988+0.038199 
## [445]    train-mlogloss:0.059580+0.002222    test-mlogloss:0.765179+0.038168 
## [446]    train-mlogloss:0.059306+0.002310    test-mlogloss:0.765866+0.038306 
## [447]    train-mlogloss:0.059023+0.002386    test-mlogloss:0.766008+0.038271 
## [448]    train-mlogloss:0.058773+0.002404    test-mlogloss:0.766442+0.037460 
## [449]    train-mlogloss:0.058536+0.002426    test-mlogloss:0.766833+0.037080 
## [450]    train-mlogloss:0.058291+0.002459    test-mlogloss:0.767097+0.037112 
## [451]    train-mlogloss:0.058019+0.002382    test-mlogloss:0.767382+0.037209 
## [452]    train-mlogloss:0.057843+0.002406    test-mlogloss:0.767572+0.037394 
## [453]    train-mlogloss:0.057649+0.002387    test-mlogloss:0.768135+0.037360 
## [454]    train-mlogloss:0.057361+0.002419    test-mlogloss:0.769036+0.037335 
## [455]    train-mlogloss:0.057080+0.002444    test-mlogloss:0.769892+0.037546 
## [456]    train-mlogloss:0.056873+0.002411    test-mlogloss:0.770280+0.037684 
## [457]    train-mlogloss:0.056660+0.002441    test-mlogloss:0.770824+0.037929 
## [458]    train-mlogloss:0.056455+0.002515    test-mlogloss:0.771379+0.037964 
## [459]    train-mlogloss:0.056197+0.002557    test-mlogloss:0.771514+0.038012 
## [460]    train-mlogloss:0.055987+0.002655    test-mlogloss:0.771940+0.037922 
## [461]    train-mlogloss:0.055905+0.002687    test-mlogloss:0.772162+0.037952 
## [462]    train-mlogloss:0.055681+0.002735    test-mlogloss:0.772535+0.037902 
## [463]    train-mlogloss:0.055471+0.002765    test-mlogloss:0.772861+0.038128 
## [464]    train-mlogloss:0.055191+0.002848    test-mlogloss:0.773520+0.038311 
## [465]    train-mlogloss:0.055009+0.002774    test-mlogloss:0.774234+0.038481 
## [466]    train-mlogloss:0.054806+0.002671    test-mlogloss:0.774653+0.038508 
## [467]    train-mlogloss:0.054550+0.002723    test-mlogloss:0.774903+0.038565 
## [468]    train-mlogloss:0.054229+0.002647    test-mlogloss:0.775873+0.038890 
## [469]    train-mlogloss:0.053972+0.002601    test-mlogloss:0.776531+0.039160 
## [470]    train-mlogloss:0.053825+0.002656    test-mlogloss:0.776828+0.039180 
## [471]    train-mlogloss:0.053577+0.002673    test-mlogloss:0.777642+0.039254 
## [472]    train-mlogloss:0.053274+0.002721    test-mlogloss:0.778299+0.039029 
## [473]    train-mlogloss:0.053023+0.002643    test-mlogloss:0.778747+0.039097 
## [474]    train-mlogloss:0.052679+0.002775    test-mlogloss:0.779289+0.038934 
## [475]    train-mlogloss:0.052396+0.002780    test-mlogloss:0.779280+0.039026 
## [476]    train-mlogloss:0.052200+0.002679    test-mlogloss:0.779465+0.038980 
## [477]    train-mlogloss:0.051905+0.002632    test-mlogloss:0.780074+0.039033 
## [478]    train-mlogloss:0.051615+0.002552    test-mlogloss:0.780511+0.038977 
## [479]    train-mlogloss:0.051389+0.002532    test-mlogloss:0.780833+0.039417 
## [480]    train-mlogloss:0.051181+0.002581    test-mlogloss:0.781387+0.039556 
## [481]    train-mlogloss:0.051007+0.002618    test-mlogloss:0.781751+0.039415 
## [482]    train-mlogloss:0.050873+0.002563    test-mlogloss:0.782285+0.039213 
## [483]    train-mlogloss:0.050561+0.002562    test-mlogloss:0.782280+0.039182 
## [484]    train-mlogloss:0.050407+0.002549    test-mlogloss:0.782741+0.039177 
## [485]    train-mlogloss:0.050228+0.002444    test-mlogloss:0.783080+0.039559 
## [486]    train-mlogloss:0.050022+0.002354    test-mlogloss:0.783029+0.039989 
## [487]    train-mlogloss:0.049807+0.002464    test-mlogloss:0.783479+0.040050 
## [488]    train-mlogloss:0.049586+0.002500    test-mlogloss:0.783808+0.039907 
## [489]    train-mlogloss:0.049307+0.002497    test-mlogloss:0.784775+0.039713 
## [490]    train-mlogloss:0.049070+0.002464    test-mlogloss:0.785130+0.039637 
## [491]    train-mlogloss:0.048735+0.002359    test-mlogloss:0.785967+0.039727 
## [492]    train-mlogloss:0.048497+0.002349    test-mlogloss:0.786321+0.040254 
## [493]    train-mlogloss:0.048240+0.002367    test-mlogloss:0.787105+0.040370 
## [494]    train-mlogloss:0.048049+0.002416    test-mlogloss:0.787533+0.040238 
## [495]    train-mlogloss:0.047845+0.002410    test-mlogloss:0.788021+0.040138 
## [496]    train-mlogloss:0.047713+0.002387    test-mlogloss:0.788246+0.040221 
## [497]    train-mlogloss:0.047500+0.002363    test-mlogloss:0.789279+0.039887 
## [498]    train-mlogloss:0.047310+0.002433    test-mlogloss:0.789800+0.040102 
## [499]    train-mlogloss:0.047133+0.002419    test-mlogloss:0.790737+0.040074 
## [500]    train-mlogloss:0.047011+0.002443    test-mlogloss:0.791220+0.040403 
## [1]  train-mlogloss:0.509721+0.000797    test-mlogloss:0.637061+0.002734 
## [2]  train-mlogloss:0.398274+0.001262    test-mlogloss:0.612122+0.005962 
## [3]  train-mlogloss:0.318637+0.000690    test-mlogloss:0.597666+0.006581 
## [4]  train-mlogloss:0.258552+0.000870    test-mlogloss:0.594401+0.007568 
## [5]  train-mlogloss:0.212869+0.000811    test-mlogloss:0.594276+0.007167 
## [6]  train-mlogloss:0.178184+0.000804    test-mlogloss:0.595589+0.008825 
## [7]  train-mlogloss:0.151322+0.000707    test-mlogloss:0.599365+0.009111 
## [8]  train-mlogloss:0.130570+0.000520    test-mlogloss:0.606282+0.009363 
## [9]  train-mlogloss:0.113934+0.000451    test-mlogloss:0.612163+0.009656 
## [10] train-mlogloss:0.100411+0.000286    test-mlogloss:0.619159+0.010659 
## [11] train-mlogloss:0.089622+0.000414    test-mlogloss:0.626897+0.010318 
## [12] train-mlogloss:0.081448+0.000481    test-mlogloss:0.633443+0.011389 
## [13] train-mlogloss:0.074174+0.000746    test-mlogloss:0.640673+0.011209 
## [14] train-mlogloss:0.068209+0.000888    test-mlogloss:0.646199+0.011356 
## [15] train-mlogloss:0.063283+0.000643    test-mlogloss:0.651918+0.011343 
## [16] train-mlogloss:0.059176+0.001152    test-mlogloss:0.657484+0.011756 
## [17] train-mlogloss:0.055561+0.001517    test-mlogloss:0.662980+0.012003 
## [18] train-mlogloss:0.052147+0.001336    test-mlogloss:0.668887+0.012857 
## [19] train-mlogloss:0.049282+0.000794    test-mlogloss:0.673311+0.013400 
## [20] train-mlogloss:0.046566+0.000648    test-mlogloss:0.677721+0.014035 
## [21] train-mlogloss:0.044164+0.000899    test-mlogloss:0.682626+0.014161 
## [22] train-mlogloss:0.041895+0.000988    test-mlogloss:0.687514+0.013013 
## [23] train-mlogloss:0.040106+0.000777    test-mlogloss:0.692275+0.011952 
## [24] train-mlogloss:0.038101+0.000678    test-mlogloss:0.696321+0.012707 
## [25] train-mlogloss:0.036446+0.000660    test-mlogloss:0.701100+0.013451 
## [26] train-mlogloss:0.035237+0.000942    test-mlogloss:0.704572+0.014639 
## [27] train-mlogloss:0.033727+0.000711    test-mlogloss:0.709385+0.015100 
## [28] train-mlogloss:0.032238+0.000683    test-mlogloss:0.713790+0.014978 
## [29] train-mlogloss:0.031271+0.000919    test-mlogloss:0.716074+0.015197 
## [30] train-mlogloss:0.030434+0.001026    test-mlogloss:0.719022+0.014339 
## [31] train-mlogloss:0.029416+0.000987    test-mlogloss:0.722430+0.014769 
## [32] train-mlogloss:0.028605+0.000908    test-mlogloss:0.724747+0.014561 
## [33] train-mlogloss:0.027688+0.000685    test-mlogloss:0.727656+0.013697 
## [34] train-mlogloss:0.027077+0.000604    test-mlogloss:0.729932+0.013787 
## [35] train-mlogloss:0.026381+0.000635    test-mlogloss:0.732852+0.014443 
## [36] train-mlogloss:0.025699+0.000771    test-mlogloss:0.735051+0.014491 
## [37] train-mlogloss:0.025051+0.000852    test-mlogloss:0.737134+0.014834 
## [38] train-mlogloss:0.024498+0.000753    test-mlogloss:0.740030+0.014610 
## [39] train-mlogloss:0.023807+0.000749    test-mlogloss:0.742658+0.015130 
## [40] train-mlogloss:0.023170+0.000556    test-mlogloss:0.744645+0.014815 
## [41] train-mlogloss:0.022674+0.000708    test-mlogloss:0.747046+0.015519 
## [42] train-mlogloss:0.022175+0.000814    test-mlogloss:0.749772+0.016213 
## [43] train-mlogloss:0.021635+0.000669    test-mlogloss:0.752036+0.015909 
## [44] train-mlogloss:0.021069+0.000585    test-mlogloss:0.754785+0.015681 
## [45] train-mlogloss:0.020583+0.000519    test-mlogloss:0.756893+0.016121 
## [46] train-mlogloss:0.020195+0.000514    test-mlogloss:0.758382+0.016163 
## [47] train-mlogloss:0.019673+0.000523    test-mlogloss:0.760135+0.016309 
## [48] train-mlogloss:0.019242+0.000497    test-mlogloss:0.761877+0.016776 
## [49] train-mlogloss:0.018793+0.000389    test-mlogloss:0.763980+0.016354 
## [50] train-mlogloss:0.018345+0.000413    test-mlogloss:0.766603+0.016458 
## [51] train-mlogloss:0.017909+0.000403    test-mlogloss:0.768939+0.016908 
## [52] train-mlogloss:0.017628+0.000448    test-mlogloss:0.771266+0.016267 
## [53] train-mlogloss:0.017380+0.000497    test-mlogloss:0.773167+0.016729 
## [54] train-mlogloss:0.016989+0.000470    test-mlogloss:0.775339+0.016800 
## [55] train-mlogloss:0.016681+0.000495    test-mlogloss:0.777643+0.015953 
## [56] train-mlogloss:0.016428+0.000582    test-mlogloss:0.779893+0.015708 
## [57] train-mlogloss:0.016160+0.000493    test-mlogloss:0.781481+0.016191 
## [58] train-mlogloss:0.015833+0.000524    test-mlogloss:0.783464+0.015902 
## [59] train-mlogloss:0.015606+0.000485    test-mlogloss:0.785165+0.015486 
## [60] train-mlogloss:0.015357+0.000492    test-mlogloss:0.786562+0.015222 
## [61] train-mlogloss:0.015052+0.000478    test-mlogloss:0.788716+0.014678 
## [62] train-mlogloss:0.014778+0.000449    test-mlogloss:0.790510+0.013914 
## [63] train-mlogloss:0.014556+0.000440    test-mlogloss:0.792128+0.013998 
## [64] train-mlogloss:0.014349+0.000464    test-mlogloss:0.793701+0.013545 
## [65] train-mlogloss:0.014120+0.000437    test-mlogloss:0.794655+0.012805 
## [66] train-mlogloss:0.013874+0.000405    test-mlogloss:0.796114+0.013161 
## [67] train-mlogloss:0.013672+0.000395    test-mlogloss:0.797973+0.012979 
## [68] train-mlogloss:0.013416+0.000373    test-mlogloss:0.800012+0.013500 
## [69] train-mlogloss:0.013244+0.000323    test-mlogloss:0.801422+0.013340 
## [70] train-mlogloss:0.013059+0.000277    test-mlogloss:0.802740+0.013719 
## [71] train-mlogloss:0.012893+0.000273    test-mlogloss:0.804675+0.014006 
## [72] train-mlogloss:0.012686+0.000269    test-mlogloss:0.806250+0.014158 
## [73] train-mlogloss:0.012536+0.000249    test-mlogloss:0.807943+0.014134 
## [74] train-mlogloss:0.012386+0.000268    test-mlogloss:0.809537+0.014162 
## [75] train-mlogloss:0.012258+0.000289    test-mlogloss:0.810457+0.014106 
## [76] train-mlogloss:0.012079+0.000278    test-mlogloss:0.811982+0.013839 
## [77] train-mlogloss:0.011918+0.000277    test-mlogloss:0.813125+0.013395 
## [78] train-mlogloss:0.011778+0.000253    test-mlogloss:0.814020+0.013307 
## [79] train-mlogloss:0.011625+0.000243    test-mlogloss:0.815823+0.013669 
## [80] train-mlogloss:0.011453+0.000218    test-mlogloss:0.817222+0.014170 
## [81] train-mlogloss:0.011275+0.000217    test-mlogloss:0.818501+0.013945 
## [82] train-mlogloss:0.011124+0.000199    test-mlogloss:0.819831+0.013686 
## [83] train-mlogloss:0.010989+0.000195    test-mlogloss:0.821079+0.014148 
## [84] train-mlogloss:0.010835+0.000189    test-mlogloss:0.822343+0.014353 
## [85] train-mlogloss:0.010729+0.000182    test-mlogloss:0.823209+0.014539 
## [86] train-mlogloss:0.010602+0.000191    test-mlogloss:0.824578+0.014880 
## [87] train-mlogloss:0.010493+0.000219    test-mlogloss:0.825673+0.015596 
## [88] train-mlogloss:0.010372+0.000193    test-mlogloss:0.827443+0.015789 
## [89] train-mlogloss:0.010259+0.000186    test-mlogloss:0.828871+0.016093 
## [90] train-mlogloss:0.010130+0.000187    test-mlogloss:0.830721+0.016349 
## [91] train-mlogloss:0.010030+0.000177    test-mlogloss:0.831038+0.016220 
## [92] train-mlogloss:0.009913+0.000180    test-mlogloss:0.832480+0.016510 
## [93] train-mlogloss:0.009805+0.000163    test-mlogloss:0.833672+0.016752 
## [94] train-mlogloss:0.009684+0.000162    test-mlogloss:0.835129+0.016584 
## [95] train-mlogloss:0.009576+0.000157    test-mlogloss:0.836424+0.016734 
## [96] train-mlogloss:0.009459+0.000155    test-mlogloss:0.837909+0.017053 
## [97] train-mlogloss:0.009357+0.000162    test-mlogloss:0.839158+0.016603 
## [98] train-mlogloss:0.009255+0.000163    test-mlogloss:0.840121+0.016634 
## [99] train-mlogloss:0.009156+0.000165    test-mlogloss:0.841287+0.017074 
## [100]    train-mlogloss:0.009053+0.000163    test-mlogloss:0.843235+0.016893 
## [101]    train-mlogloss:0.008951+0.000156    test-mlogloss:0.844836+0.016963 
## [102]    train-mlogloss:0.008869+0.000170    test-mlogloss:0.846241+0.017284 
## [103]    train-mlogloss:0.008783+0.000158    test-mlogloss:0.847682+0.017260 
## [104]    train-mlogloss:0.008712+0.000161    test-mlogloss:0.848489+0.017342 
## [105]    train-mlogloss:0.008625+0.000163    test-mlogloss:0.849366+0.017504 
## [106]    train-mlogloss:0.008535+0.000163    test-mlogloss:0.850630+0.017188 
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## [495]    train-mlogloss:0.002320+0.000017    test-mlogloss:1.029154+0.022585 
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## [499]    train-mlogloss:0.002307+0.000017    test-mlogloss:1.030031+0.022514 
## [500]    train-mlogloss:0.002304+0.000017    test-mlogloss:1.030128+0.022509 
## [1]  train-mlogloss:0.538203+0.001269    test-mlogloss:0.556969+0.002879 
## [2]  train-mlogloss:0.509062+0.000808    test-mlogloss:0.543115+0.004205 
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## [4]  train-mlogloss:0.487666+0.002771    test-mlogloss:0.546785+0.005113 
## [5]  train-mlogloss:0.479834+0.004346    test-mlogloss:0.551059+0.007178 
## [6]  train-mlogloss:0.470544+0.003491    test-mlogloss:0.555608+0.009912 
## [7]  train-mlogloss:0.462155+0.005251    test-mlogloss:0.558397+0.009080 
## [8]  train-mlogloss:0.454045+0.005243    test-mlogloss:0.564218+0.005003 
## [9]  train-mlogloss:0.448118+0.004001    test-mlogloss:0.568637+0.006347 
## [10] train-mlogloss:0.441751+0.004629    test-mlogloss:0.572184+0.008144 
## [11] train-mlogloss:0.435229+0.002515    test-mlogloss:0.574964+0.009845 
## [12] train-mlogloss:0.430917+0.003468    test-mlogloss:0.576603+0.009726 
## [13] train-mlogloss:0.424876+0.004547    test-mlogloss:0.578575+0.009031 
## [14] train-mlogloss:0.419940+0.006819    test-mlogloss:0.581101+0.008111 
## [15] train-mlogloss:0.413826+0.008353    test-mlogloss:0.582515+0.009412 
## [16] train-mlogloss:0.409555+0.008911    test-mlogloss:0.584614+0.009010 
## [17] train-mlogloss:0.405224+0.009416    test-mlogloss:0.586918+0.009761 
## [18] train-mlogloss:0.398312+0.011244    test-mlogloss:0.590705+0.011586 
## [19] train-mlogloss:0.392970+0.010579    test-mlogloss:0.594440+0.011367 
## [20] train-mlogloss:0.384513+0.008845    test-mlogloss:0.598592+0.010799 
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## [23] train-mlogloss:0.365275+0.008474    test-mlogloss:0.608317+0.009859 
## [24] train-mlogloss:0.359756+0.006795    test-mlogloss:0.612937+0.009512 
## [25] train-mlogloss:0.353812+0.005888    test-mlogloss:0.614945+0.010989 
## [26] train-mlogloss:0.347381+0.007047    test-mlogloss:0.617189+0.010996 
## [27] train-mlogloss:0.342169+0.007048    test-mlogloss:0.620294+0.010381 
## [28] train-mlogloss:0.334941+0.006555    test-mlogloss:0.625762+0.010267 
## [29] train-mlogloss:0.328583+0.006817    test-mlogloss:0.627926+0.011830 
## [30] train-mlogloss:0.323488+0.006231    test-mlogloss:0.630271+0.013378 
## [31] train-mlogloss:0.319192+0.006371    test-mlogloss:0.634167+0.015366 
## [32] train-mlogloss:0.313555+0.007338    test-mlogloss:0.636617+0.016745 
## [33] train-mlogloss:0.309783+0.008455    test-mlogloss:0.640717+0.017061 
## [34] train-mlogloss:0.305259+0.008322    test-mlogloss:0.644137+0.015761 
## [35] train-mlogloss:0.301763+0.007533    test-mlogloss:0.643842+0.015818 
## [36] train-mlogloss:0.296635+0.006374    test-mlogloss:0.647141+0.015428 
## [37] train-mlogloss:0.292035+0.006163    test-mlogloss:0.650431+0.016707 
## [38] train-mlogloss:0.287333+0.006110    test-mlogloss:0.653488+0.016303 
## [39] train-mlogloss:0.282559+0.005605    test-mlogloss:0.655245+0.015680 
## [40] train-mlogloss:0.279917+0.004821    test-mlogloss:0.658374+0.016209 
## [41] train-mlogloss:0.275402+0.005878    test-mlogloss:0.660496+0.017354 
## [42] train-mlogloss:0.270815+0.006090    test-mlogloss:0.664634+0.017512 
## [43] train-mlogloss:0.266986+0.006829    test-mlogloss:0.667520+0.017714 
## [44] train-mlogloss:0.262744+0.007116    test-mlogloss:0.670661+0.017403 
## [45] train-mlogloss:0.258159+0.008141    test-mlogloss:0.674619+0.016068 
## [46] train-mlogloss:0.253778+0.008314    test-mlogloss:0.676579+0.016646 
## [47] train-mlogloss:0.249574+0.007947    test-mlogloss:0.679866+0.019047 
## [48] train-mlogloss:0.247274+0.007862    test-mlogloss:0.682501+0.019732 
## [49] train-mlogloss:0.244706+0.007964    test-mlogloss:0.683854+0.020274 
## [50] train-mlogloss:0.242129+0.008762    test-mlogloss:0.683945+0.019585 
## [51] train-mlogloss:0.238570+0.007331    test-mlogloss:0.687020+0.019877 
## [52] train-mlogloss:0.234697+0.007667    test-mlogloss:0.687809+0.018739 
## [53] train-mlogloss:0.230098+0.007054    test-mlogloss:0.691151+0.019066 
## [54] train-mlogloss:0.227028+0.006911    test-mlogloss:0.694289+0.018072 
## [55] train-mlogloss:0.223995+0.006617    test-mlogloss:0.697214+0.018354 
## [56] train-mlogloss:0.220866+0.007424    test-mlogloss:0.699476+0.020069 
## [57] train-mlogloss:0.217298+0.008160    test-mlogloss:0.701470+0.020241 
## [58] train-mlogloss:0.213456+0.009257    test-mlogloss:0.703122+0.020270 
## [59] train-mlogloss:0.210598+0.008747    test-mlogloss:0.705752+0.020369 
## [60] train-mlogloss:0.207935+0.008688    test-mlogloss:0.706675+0.021500 
## [61] train-mlogloss:0.204213+0.008413    test-mlogloss:0.708604+0.020998 
## [62] train-mlogloss:0.200704+0.008398    test-mlogloss:0.712581+0.022212 
## [63] train-mlogloss:0.198101+0.007829    test-mlogloss:0.713916+0.021488 
## [64] train-mlogloss:0.196417+0.007932    test-mlogloss:0.714433+0.021981 
## [65] train-mlogloss:0.192773+0.007784    test-mlogloss:0.716111+0.021920 
## [66] train-mlogloss:0.189707+0.007960    test-mlogloss:0.719246+0.022042 
## [67] train-mlogloss:0.186027+0.007991    test-mlogloss:0.723018+0.020470 
## [68] train-mlogloss:0.182145+0.007631    test-mlogloss:0.725520+0.020292 
## [69] train-mlogloss:0.179643+0.007066    test-mlogloss:0.728066+0.020820 
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## [71] train-mlogloss:0.174136+0.005948    test-mlogloss:0.730808+0.022178 
## [72] train-mlogloss:0.171816+0.006598    test-mlogloss:0.731897+0.022994 
## [73] train-mlogloss:0.169344+0.006724    test-mlogloss:0.733613+0.021854 
## [74] train-mlogloss:0.166736+0.006648    test-mlogloss:0.735743+0.022819 
## [75] train-mlogloss:0.164430+0.006806    test-mlogloss:0.736028+0.022864 
## [76] train-mlogloss:0.161911+0.006526    test-mlogloss:0.739385+0.021712 
## [77] train-mlogloss:0.158815+0.006243    test-mlogloss:0.742476+0.021581 
## [78] train-mlogloss:0.156383+0.005863    test-mlogloss:0.743897+0.019685 
## [79] train-mlogloss:0.154277+0.005479    test-mlogloss:0.745966+0.019175 
## [80] train-mlogloss:0.151615+0.005256    test-mlogloss:0.748115+0.019332 
## [81] train-mlogloss:0.149334+0.005452    test-mlogloss:0.750327+0.019046 
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## [83] train-mlogloss:0.144574+0.006398    test-mlogloss:0.754425+0.021898 
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## [88] train-mlogloss:0.135632+0.006946    test-mlogloss:0.764474+0.025707 
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## [430]    train-mlogloss:0.006003+0.000288    test-mlogloss:1.161120+0.051598 
## [431]    train-mlogloss:0.005986+0.000288    test-mlogloss:1.160990+0.051461 
## [432]    train-mlogloss:0.005960+0.000284    test-mlogloss:1.161619+0.051069 
## [433]    train-mlogloss:0.005941+0.000291    test-mlogloss:1.162207+0.051435 
## [434]    train-mlogloss:0.005916+0.000284    test-mlogloss:1.162536+0.051261 
## [435]    train-mlogloss:0.005899+0.000283    test-mlogloss:1.162797+0.051154 
## [436]    train-mlogloss:0.005884+0.000286    test-mlogloss:1.163093+0.050619 
## [437]    train-mlogloss:0.005852+0.000284    test-mlogloss:1.163311+0.050904 
## [438]    train-mlogloss:0.005819+0.000275    test-mlogloss:1.164772+0.051149 
## [439]    train-mlogloss:0.005801+0.000276    test-mlogloss:1.165403+0.051018 
## [440]    train-mlogloss:0.005775+0.000266    test-mlogloss:1.165915+0.051293 
## [441]    train-mlogloss:0.005740+0.000272    test-mlogloss:1.166069+0.051970 
## [442]    train-mlogloss:0.005717+0.000261    test-mlogloss:1.167473+0.051786 
## [443]    train-mlogloss:0.005684+0.000251    test-mlogloss:1.168432+0.050806 
## [444]    train-mlogloss:0.005655+0.000243    test-mlogloss:1.169321+0.051431 
## [445]    train-mlogloss:0.005633+0.000245    test-mlogloss:1.170562+0.051909 
## [446]    train-mlogloss:0.005610+0.000242    test-mlogloss:1.171486+0.051435 
## [447]    train-mlogloss:0.005585+0.000233    test-mlogloss:1.172311+0.050966 
## [448]    train-mlogloss:0.005567+0.000227    test-mlogloss:1.173324+0.051202 
## [449]    train-mlogloss:0.005549+0.000224    test-mlogloss:1.173987+0.051095 
## [450]    train-mlogloss:0.005534+0.000219    test-mlogloss:1.175086+0.051103 
## [451]    train-mlogloss:0.005515+0.000218    test-mlogloss:1.175725+0.050952 
## [452]    train-mlogloss:0.005490+0.000215    test-mlogloss:1.176034+0.051213 
## [453]    train-mlogloss:0.005465+0.000212    test-mlogloss:1.177256+0.051448 
## [454]    train-mlogloss:0.005446+0.000217    test-mlogloss:1.177375+0.051297 
## [455]    train-mlogloss:0.005434+0.000215    test-mlogloss:1.177917+0.051315 
## [456]    train-mlogloss:0.005412+0.000215    test-mlogloss:1.178597+0.050894 
## [457]    train-mlogloss:0.005382+0.000212    test-mlogloss:1.179252+0.051076 
## [458]    train-mlogloss:0.005360+0.000219    test-mlogloss:1.179604+0.051487 
## [459]    train-mlogloss:0.005345+0.000224    test-mlogloss:1.180475+0.051862 
## [460]    train-mlogloss:0.005323+0.000220    test-mlogloss:1.180201+0.051938 
## [461]    train-mlogloss:0.005298+0.000217    test-mlogloss:1.180956+0.052301 
## [462]    train-mlogloss:0.005276+0.000214    test-mlogloss:1.181858+0.052097 
## [463]    train-mlogloss:0.005265+0.000215    test-mlogloss:1.182880+0.052805 
## [464]    train-mlogloss:0.005247+0.000220    test-mlogloss:1.183204+0.053205 
## [465]    train-mlogloss:0.005226+0.000212    test-mlogloss:1.184186+0.054068 
## [466]    train-mlogloss:0.005204+0.000209    test-mlogloss:1.184944+0.053952 
## [467]    train-mlogloss:0.005180+0.000213    test-mlogloss:1.186426+0.054722 
## [468]    train-mlogloss:0.005152+0.000209    test-mlogloss:1.187863+0.055542 
## [469]    train-mlogloss:0.005133+0.000213    test-mlogloss:1.187827+0.055380 
## [470]    train-mlogloss:0.005116+0.000217    test-mlogloss:1.187687+0.054896 
## [471]    train-mlogloss:0.005093+0.000214    test-mlogloss:1.189071+0.054728 
## [472]    train-mlogloss:0.005069+0.000210    test-mlogloss:1.189309+0.054202 
## [473]    train-mlogloss:0.005050+0.000205    test-mlogloss:1.189526+0.054240 
## [474]    train-mlogloss:0.005034+0.000204    test-mlogloss:1.189511+0.054396 
## [475]    train-mlogloss:0.005006+0.000202    test-mlogloss:1.190358+0.053995 
## [476]    train-mlogloss:0.004983+0.000203    test-mlogloss:1.191147+0.053753 
## [477]    train-mlogloss:0.004963+0.000193    test-mlogloss:1.191803+0.053771 
## [478]    train-mlogloss:0.004949+0.000185    test-mlogloss:1.191965+0.053641 
## [479]    train-mlogloss:0.004932+0.000184    test-mlogloss:1.192330+0.053429 
## [480]    train-mlogloss:0.004911+0.000183    test-mlogloss:1.192743+0.053382 
## [481]    train-mlogloss:0.004896+0.000186    test-mlogloss:1.192912+0.052879 
## [482]    train-mlogloss:0.004879+0.000191    test-mlogloss:1.193589+0.053426 
## [483]    train-mlogloss:0.004861+0.000185    test-mlogloss:1.193721+0.053084 
## [484]    train-mlogloss:0.004838+0.000176    test-mlogloss:1.194651+0.053576 
## [485]    train-mlogloss:0.004826+0.000174    test-mlogloss:1.194955+0.053559 
## [486]    train-mlogloss:0.004814+0.000176    test-mlogloss:1.195954+0.053493 
## [487]    train-mlogloss:0.004793+0.000179    test-mlogloss:1.196871+0.053944 
## [488]    train-mlogloss:0.004778+0.000184    test-mlogloss:1.197534+0.054343 
## [489]    train-mlogloss:0.004761+0.000184    test-mlogloss:1.197759+0.054405 
## [490]    train-mlogloss:0.004740+0.000188    test-mlogloss:1.198563+0.054670 
## [491]    train-mlogloss:0.004720+0.000190    test-mlogloss:1.198680+0.054534 
## [492]    train-mlogloss:0.004696+0.000190    test-mlogloss:1.199093+0.055788 
## [493]    train-mlogloss:0.004677+0.000190    test-mlogloss:1.199816+0.055096 
## [494]    train-mlogloss:0.004662+0.000187    test-mlogloss:1.200421+0.054977 
## [495]    train-mlogloss:0.004643+0.000185    test-mlogloss:1.200670+0.055043 
## [496]    train-mlogloss:0.004626+0.000180    test-mlogloss:1.200472+0.055110 
## [497]    train-mlogloss:0.004606+0.000188    test-mlogloss:1.201603+0.055465 
## [498]    train-mlogloss:0.004588+0.000186    test-mlogloss:1.201666+0.055027 
## [499]    train-mlogloss:0.004572+0.000188    test-mlogloss:1.202699+0.055652 
## [500]    train-mlogloss:0.004555+0.000185    test-mlogloss:1.203095+0.055834 
## [1]  train-mlogloss:0.308657+0.001692    test-mlogloss:0.647084+0.012360 
## [2]  train-mlogloss:0.184959+0.002498    test-mlogloss:0.664001+0.018124 
## [3]  train-mlogloss:0.122838+0.001651    test-mlogloss:0.687017+0.025434 
## [4]  train-mlogloss:0.089493+0.001162    test-mlogloss:0.708287+0.030072 
## [5]  train-mlogloss:0.069543+0.001409    test-mlogloss:0.730845+0.030243 
## [6]  train-mlogloss:0.056783+0.002239    test-mlogloss:0.746950+0.031329 
## [7]  train-mlogloss:0.047752+0.001583    test-mlogloss:0.762121+0.036883 
## [8]  train-mlogloss:0.041929+0.001243    test-mlogloss:0.777899+0.037271 
## [9]  train-mlogloss:0.036284+0.000855    test-mlogloss:0.792610+0.038072 
## [10] train-mlogloss:0.031869+0.000505    test-mlogloss:0.804052+0.040800 
## [11] train-mlogloss:0.028289+0.000407    test-mlogloss:0.818247+0.043190 
## [12] train-mlogloss:0.025540+0.000346    test-mlogloss:0.828468+0.041559 
## [13] train-mlogloss:0.023206+0.000244    test-mlogloss:0.838727+0.042641 
## [14] train-mlogloss:0.021254+0.000257    test-mlogloss:0.845314+0.040883 
## [15] train-mlogloss:0.020133+0.000396    test-mlogloss:0.852318+0.040541 
## [16] train-mlogloss:0.018741+0.000499    test-mlogloss:0.859436+0.043129 
## [17] train-mlogloss:0.017443+0.000402    test-mlogloss:0.867205+0.044634 
## [18] train-mlogloss:0.016350+0.000374    test-mlogloss:0.874020+0.045175 
## [19] train-mlogloss:0.015522+0.000245    test-mlogloss:0.878577+0.042872 
## [20] train-mlogloss:0.014690+0.000230    test-mlogloss:0.883417+0.043407 
## [21] train-mlogloss:0.014051+0.000302    test-mlogloss:0.888809+0.046368 
## [22] train-mlogloss:0.013332+0.000271    test-mlogloss:0.896030+0.046175 
## [23] train-mlogloss:0.012685+0.000234    test-mlogloss:0.901512+0.047161 
## [24] train-mlogloss:0.012145+0.000197    test-mlogloss:0.906502+0.047942 
## [25] train-mlogloss:0.011639+0.000174    test-mlogloss:0.909647+0.049852 
## [26] train-mlogloss:0.011167+0.000142    test-mlogloss:0.914318+0.049215 
## [27] train-mlogloss:0.010757+0.000107    test-mlogloss:0.918710+0.049658 
## [28] train-mlogloss:0.010377+0.000102    test-mlogloss:0.922513+0.050619 
## [29] train-mlogloss:0.010012+0.000070    test-mlogloss:0.926078+0.051623 
## [30] train-mlogloss:0.009694+0.000063    test-mlogloss:0.930998+0.052744 
## [31] train-mlogloss:0.009378+0.000074    test-mlogloss:0.934208+0.052528 
## [32] train-mlogloss:0.009089+0.000070    test-mlogloss:0.938741+0.052837 
## [33] train-mlogloss:0.008808+0.000062    test-mlogloss:0.940857+0.052872 
## [34] train-mlogloss:0.008548+0.000072    test-mlogloss:0.943721+0.052888 
## [35] train-mlogloss:0.008307+0.000071    test-mlogloss:0.946649+0.053122 
## [36] train-mlogloss:0.008087+0.000082    test-mlogloss:0.950810+0.053515 
## [37] train-mlogloss:0.007878+0.000077    test-mlogloss:0.955014+0.055086 
## [38] train-mlogloss:0.007681+0.000075    test-mlogloss:0.957948+0.055068 
## [39] train-mlogloss:0.007491+0.000081    test-mlogloss:0.961821+0.055071 
## [40] train-mlogloss:0.007313+0.000085    test-mlogloss:0.962678+0.055303 
## [41] train-mlogloss:0.007147+0.000073    test-mlogloss:0.965356+0.055592 
## [42] train-mlogloss:0.006995+0.000073    test-mlogloss:0.967389+0.055843 
## [43] train-mlogloss:0.006848+0.000076    test-mlogloss:0.970326+0.054323 
## [44] train-mlogloss:0.006701+0.000075    test-mlogloss:0.973313+0.054886 
## [45] train-mlogloss:0.006563+0.000077    test-mlogloss:0.974898+0.054788 
## [46] train-mlogloss:0.006430+0.000077    test-mlogloss:0.977927+0.054711 
## [47] train-mlogloss:0.006301+0.000075    test-mlogloss:0.980570+0.054241 
## [48] train-mlogloss:0.006183+0.000076    test-mlogloss:0.984242+0.054032 
## [49] train-mlogloss:0.006066+0.000076    test-mlogloss:0.987487+0.052905 
## [50] train-mlogloss:0.005958+0.000066    test-mlogloss:0.990168+0.053819 
## [51] train-mlogloss:0.005853+0.000068    test-mlogloss:0.992189+0.053217 
## [52] train-mlogloss:0.005752+0.000064    test-mlogloss:0.994870+0.054205 
## [53] train-mlogloss:0.005654+0.000053    test-mlogloss:0.997415+0.054251 
## [54] train-mlogloss:0.005561+0.000053    test-mlogloss:0.999224+0.054405 
## [55] train-mlogloss:0.005475+0.000055    test-mlogloss:1.001361+0.054760 
## [56] train-mlogloss:0.005381+0.000050    test-mlogloss:1.002773+0.054616 
## [57] train-mlogloss:0.005300+0.000049    test-mlogloss:1.004653+0.054839 
## [58] train-mlogloss:0.005225+0.000047    test-mlogloss:1.005894+0.055590 
## [59] train-mlogloss:0.005151+0.000048    test-mlogloss:1.008137+0.055852 
## [60] train-mlogloss:0.005076+0.000045    test-mlogloss:1.010377+0.056177 
## [61] train-mlogloss:0.005004+0.000042    test-mlogloss:1.012015+0.056512 
## [62] train-mlogloss:0.004940+0.000041    test-mlogloss:1.013271+0.057644 
## [63] train-mlogloss:0.004875+0.000043    test-mlogloss:1.016305+0.057715 
## [64] train-mlogloss:0.004809+0.000043    test-mlogloss:1.017983+0.057911 
## [65] train-mlogloss:0.004745+0.000043    test-mlogloss:1.018873+0.058618 
## [66] train-mlogloss:0.004685+0.000043    test-mlogloss:1.020486+0.058092 
## [67] train-mlogloss:0.004626+0.000041    test-mlogloss:1.022377+0.058477 
## [68] train-mlogloss:0.004571+0.000040    test-mlogloss:1.024099+0.058388 
## [69] train-mlogloss:0.004519+0.000041    test-mlogloss:1.024946+0.058193 
## [70] train-mlogloss:0.004465+0.000041    test-mlogloss:1.026552+0.058547 
## [71] train-mlogloss:0.004415+0.000042    test-mlogloss:1.028460+0.058342 
## [72] train-mlogloss:0.004364+0.000044    test-mlogloss:1.030019+0.058127 
## [73] train-mlogloss:0.004316+0.000044    test-mlogloss:1.031222+0.057817 
## [74] train-mlogloss:0.004270+0.000041    test-mlogloss:1.032798+0.057692 
## [75] train-mlogloss:0.004223+0.000041    test-mlogloss:1.033911+0.057497 
## [76] train-mlogloss:0.004179+0.000040    test-mlogloss:1.035201+0.057514 
## [77] train-mlogloss:0.004139+0.000040    test-mlogloss:1.035936+0.057748 
## [78] train-mlogloss:0.004095+0.000040    test-mlogloss:1.037065+0.057745 
## [79] train-mlogloss:0.004053+0.000039    test-mlogloss:1.039245+0.057738 
## [80] train-mlogloss:0.004012+0.000038    test-mlogloss:1.040450+0.058164 
## [81] train-mlogloss:0.003972+0.000037    test-mlogloss:1.041838+0.057530 
## [82] train-mlogloss:0.003934+0.000037    test-mlogloss:1.043650+0.058455 
## [83] train-mlogloss:0.003897+0.000039    test-mlogloss:1.044400+0.058199 
## [84] train-mlogloss:0.003858+0.000036    test-mlogloss:1.045161+0.058834 
## [85] train-mlogloss:0.003825+0.000036    test-mlogloss:1.046135+0.058786 
## [86] train-mlogloss:0.003789+0.000036    test-mlogloss:1.046655+0.058137 
## [87] train-mlogloss:0.003755+0.000035    test-mlogloss:1.047864+0.058509 
## [88] train-mlogloss:0.003722+0.000034    test-mlogloss:1.049155+0.058331 
## [89] train-mlogloss:0.003691+0.000034    test-mlogloss:1.050495+0.058076 
## [90] train-mlogloss:0.003659+0.000038    test-mlogloss:1.051463+0.057827 
## [91] train-mlogloss:0.003629+0.000035    test-mlogloss:1.051832+0.057675 
## [92] train-mlogloss:0.003598+0.000035    test-mlogloss:1.052868+0.057371 
## [93] train-mlogloss:0.003569+0.000037    test-mlogloss:1.054277+0.056825 
## [94] train-mlogloss:0.003540+0.000035    test-mlogloss:1.055895+0.056842 
## [95] train-mlogloss:0.003511+0.000036    test-mlogloss:1.056812+0.057519 
## [96] train-mlogloss:0.003484+0.000035    test-mlogloss:1.058151+0.057250 
## [97] train-mlogloss:0.003458+0.000034    test-mlogloss:1.058997+0.056579 
## [98] train-mlogloss:0.003432+0.000033    test-mlogloss:1.060030+0.056384 
## [99] train-mlogloss:0.003406+0.000034    test-mlogloss:1.061226+0.056968 
## [100]    train-mlogloss:0.003381+0.000034    test-mlogloss:1.062028+0.056501 
## [101]    train-mlogloss:0.003357+0.000034    test-mlogloss:1.063150+0.056203 
## [102]    train-mlogloss:0.003331+0.000035    test-mlogloss:1.064251+0.056169 
## [103]    train-mlogloss:0.003308+0.000033    test-mlogloss:1.065140+0.056475 
## [104]    train-mlogloss:0.003283+0.000031    test-mlogloss:1.066277+0.056178 
## [105]    train-mlogloss:0.003260+0.000030    test-mlogloss:1.067573+0.056111 
## [106]    train-mlogloss:0.003235+0.000030    test-mlogloss:1.068571+0.056586 
## [107]    train-mlogloss:0.003211+0.000029    test-mlogloss:1.070083+0.056751 
## [108]    train-mlogloss:0.003189+0.000029    test-mlogloss:1.071493+0.056773 
## [109]    train-mlogloss:0.003168+0.000029    test-mlogloss:1.072304+0.056108 
## [110]    train-mlogloss:0.003146+0.000028    test-mlogloss:1.073100+0.055729 
## [111]    train-mlogloss:0.003125+0.000029    test-mlogloss:1.073372+0.055371 
## [112]    train-mlogloss:0.003105+0.000029    test-mlogloss:1.075124+0.055678 
## [113]    train-mlogloss:0.003084+0.000028    test-mlogloss:1.075872+0.055854 
## [114]    train-mlogloss:0.003063+0.000025    test-mlogloss:1.076136+0.056017 
## [115]    train-mlogloss:0.003043+0.000026    test-mlogloss:1.077326+0.056619 
## [116]    train-mlogloss:0.003024+0.000026    test-mlogloss:1.078388+0.057009 
## [117]    train-mlogloss:0.003003+0.000028    test-mlogloss:1.079301+0.056764 
## [118]    train-mlogloss:0.002986+0.000027    test-mlogloss:1.080639+0.056976 
## [119]    train-mlogloss:0.002968+0.000027    test-mlogloss:1.081517+0.057237 
## [120]    train-mlogloss:0.002951+0.000029    test-mlogloss:1.081894+0.057019 
## [121]    train-mlogloss:0.002932+0.000029    test-mlogloss:1.082595+0.057232 
## [122]    train-mlogloss:0.002916+0.000029    test-mlogloss:1.083333+0.057837 
## [123]    train-mlogloss:0.002901+0.000028    test-mlogloss:1.084211+0.057564 
## [124]    train-mlogloss:0.002882+0.000026    test-mlogloss:1.084440+0.057047 
## [125]    train-mlogloss:0.002866+0.000026    test-mlogloss:1.085758+0.056352 
## [126]    train-mlogloss:0.002849+0.000025    test-mlogloss:1.087182+0.056780 
## [127]    train-mlogloss:0.002832+0.000026    test-mlogloss:1.087769+0.057094 
## [128]    train-mlogloss:0.002818+0.000025    test-mlogloss:1.088346+0.057110 
## [129]    train-mlogloss:0.002802+0.000024    test-mlogloss:1.089233+0.056878 
## [130]    train-mlogloss:0.002787+0.000023    test-mlogloss:1.090524+0.057428 
## [131]    train-mlogloss:0.002774+0.000022    test-mlogloss:1.090903+0.057569 
## [132]    train-mlogloss:0.002759+0.000022    test-mlogloss:1.091985+0.057996 
## [133]    train-mlogloss:0.002745+0.000022    test-mlogloss:1.092998+0.058400 
## [134]    train-mlogloss:0.002731+0.000022    test-mlogloss:1.094369+0.058275 
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## [400]    train-mlogloss:0.001368+0.000009    test-mlogloss:1.201410+0.069033 
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## [405]    train-mlogloss:0.001359+0.000009    test-mlogloss:1.202211+0.069603 
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## [408]    train-mlogloss:0.001353+0.000009    test-mlogloss:1.203440+0.069962 
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## [413]    train-mlogloss:0.001343+0.000009    test-mlogloss:1.204790+0.069515 
## [414]    train-mlogloss:0.001341+0.000009    test-mlogloss:1.204544+0.069327 
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## [493]    train-mlogloss:0.001217+0.000007    test-mlogloss:1.219887+0.071083 
## [494]    train-mlogloss:0.001216+0.000007    test-mlogloss:1.220248+0.071080 
## [495]    train-mlogloss:0.001215+0.000007    test-mlogloss:1.220162+0.070960 
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## [499]    train-mlogloss:0.001210+0.000007    test-mlogloss:1.220948+0.071045 
## [500]    train-mlogloss:0.001208+0.000007    test-mlogloss:1.221327+0.070908 
## [1]  train-mlogloss:0.524689+0.003188    test-mlogloss:0.550396+0.009257 
## [2]  train-mlogloss:0.503125+0.004041    test-mlogloss:0.550469+0.010419 
## [3]  train-mlogloss:0.493802+0.005118    test-mlogloss:0.555384+0.009982 
## [4]  train-mlogloss:0.483941+0.003212    test-mlogloss:0.562922+0.012109 
## [5]  train-mlogloss:0.475110+0.004850    test-mlogloss:0.570794+0.011575 
## [6]  train-mlogloss:0.468690+0.003790    test-mlogloss:0.573736+0.012914 
## [7]  train-mlogloss:0.460904+0.004556    test-mlogloss:0.579439+0.012547 
## [8]  train-mlogloss:0.454390+0.005758    test-mlogloss:0.583210+0.012871 
## [9]  train-mlogloss:0.447622+0.005767    test-mlogloss:0.587073+0.016926 
## [10] train-mlogloss:0.440465+0.007900    test-mlogloss:0.591490+0.021894 
## [11] train-mlogloss:0.432774+0.008252    test-mlogloss:0.594751+0.020073 
## [12] train-mlogloss:0.423169+0.008882    test-mlogloss:0.599356+0.020727 
## [13] train-mlogloss:0.414901+0.009733    test-mlogloss:0.605429+0.022334 
## [14] train-mlogloss:0.405797+0.008409    test-mlogloss:0.610559+0.020237 
## [15] train-mlogloss:0.398246+0.007029    test-mlogloss:0.614899+0.023041 
## [16] train-mlogloss:0.388455+0.005779    test-mlogloss:0.621874+0.019520 
## [17] train-mlogloss:0.381394+0.004422    test-mlogloss:0.625710+0.017131 
## [18] train-mlogloss:0.372034+0.003491    test-mlogloss:0.634512+0.014762 
## [19] train-mlogloss:0.364099+0.002496    test-mlogloss:0.641854+0.015052 
## [20] train-mlogloss:0.357618+0.003771    test-mlogloss:0.649008+0.014575 
## [21] train-mlogloss:0.349677+0.004658    test-mlogloss:0.660081+0.011439 
## [22] train-mlogloss:0.344321+0.005120    test-mlogloss:0.663490+0.012346 
## [23] train-mlogloss:0.336346+0.005653    test-mlogloss:0.670851+0.015782 
## [24] train-mlogloss:0.330700+0.005301    test-mlogloss:0.674737+0.016032 
## [25] train-mlogloss:0.324423+0.005075    test-mlogloss:0.679964+0.018780 
## [26] train-mlogloss:0.316850+0.006142    test-mlogloss:0.687242+0.023751 
## [27] train-mlogloss:0.309966+0.005897    test-mlogloss:0.694816+0.028408 
## [28] train-mlogloss:0.304052+0.005693    test-mlogloss:0.700602+0.026690 
## [29] train-mlogloss:0.297803+0.006207    test-mlogloss:0.704601+0.027155 
## [30] train-mlogloss:0.292499+0.006142    test-mlogloss:0.710322+0.025646 
## [31] train-mlogloss:0.287661+0.007102    test-mlogloss:0.713974+0.022896 
## [32] train-mlogloss:0.281313+0.006173    test-mlogloss:0.719511+0.024801 
## [33] train-mlogloss:0.274337+0.005736    test-mlogloss:0.726929+0.025327 
## [34] train-mlogloss:0.268357+0.004374    test-mlogloss:0.731366+0.025172 
## [35] train-mlogloss:0.262464+0.004137    test-mlogloss:0.736090+0.026237 
## [36] train-mlogloss:0.258266+0.004264    test-mlogloss:0.740408+0.026595 
## [37] train-mlogloss:0.253867+0.002474    test-mlogloss:0.743084+0.026967 
## [38] train-mlogloss:0.249895+0.003235    test-mlogloss:0.744447+0.027898 
## [39] train-mlogloss:0.245435+0.002597    test-mlogloss:0.749474+0.029045 
## [40] train-mlogloss:0.241059+0.003746    test-mlogloss:0.753566+0.028828 
## [41] train-mlogloss:0.237127+0.004815    test-mlogloss:0.757172+0.028319 
## [42] train-mlogloss:0.233240+0.003608    test-mlogloss:0.760881+0.029482 
## [43] train-mlogloss:0.228731+0.002867    test-mlogloss:0.764591+0.033395 
## [44] train-mlogloss:0.224384+0.004593    test-mlogloss:0.768705+0.036874 
## [45] train-mlogloss:0.220444+0.005792    test-mlogloss:0.774173+0.036819 
## [46] train-mlogloss:0.215800+0.005148    test-mlogloss:0.780899+0.036767 
## [47] train-mlogloss:0.211355+0.004817    test-mlogloss:0.783579+0.036992 
## [48] train-mlogloss:0.207524+0.006180    test-mlogloss:0.783960+0.037849 
## [49] train-mlogloss:0.202919+0.005964    test-mlogloss:0.790313+0.037601 
## [50] train-mlogloss:0.198847+0.006174    test-mlogloss:0.793934+0.037213 
## [51] train-mlogloss:0.195801+0.006706    test-mlogloss:0.797182+0.040808 
## [52] train-mlogloss:0.191772+0.006881    test-mlogloss:0.800090+0.043100 
## [53] train-mlogloss:0.187074+0.006715    test-mlogloss:0.803996+0.042082 
## [54] train-mlogloss:0.183009+0.007037    test-mlogloss:0.808621+0.042480 
## [55] train-mlogloss:0.180098+0.006248    test-mlogloss:0.811903+0.045687 
## [56] train-mlogloss:0.176329+0.005735    test-mlogloss:0.816170+0.046208 
## [57] train-mlogloss:0.173333+0.005450    test-mlogloss:0.820110+0.045916 
## [58] train-mlogloss:0.169071+0.005500    test-mlogloss:0.824348+0.044922 
## [59] train-mlogloss:0.165638+0.005904    test-mlogloss:0.828372+0.044919 
## [60] train-mlogloss:0.161393+0.005025    test-mlogloss:0.830508+0.043591 
## [61] train-mlogloss:0.158135+0.006078    test-mlogloss:0.831681+0.044032 
## [62] train-mlogloss:0.154635+0.006293    test-mlogloss:0.836062+0.043628 
## [63] train-mlogloss:0.150677+0.006553    test-mlogloss:0.838984+0.043049 
## [64] train-mlogloss:0.147894+0.006621    test-mlogloss:0.842508+0.044479 
## [65] train-mlogloss:0.145205+0.006985    test-mlogloss:0.847231+0.044903 
## [66] train-mlogloss:0.142404+0.006488    test-mlogloss:0.850390+0.044804 
## [67] train-mlogloss:0.139940+0.005541    test-mlogloss:0.853057+0.044866 
## [68] train-mlogloss:0.136901+0.005737    test-mlogloss:0.856583+0.045642 
## [69] train-mlogloss:0.133274+0.005222    test-mlogloss:0.860717+0.044393 
## [70] train-mlogloss:0.129966+0.005267    test-mlogloss:0.864905+0.044447 
## [71] train-mlogloss:0.127051+0.005124    test-mlogloss:0.867743+0.044927 
## [72] train-mlogloss:0.124551+0.004808    test-mlogloss:0.868468+0.046763 
## [73] train-mlogloss:0.121798+0.003909    test-mlogloss:0.872855+0.046526 
## [74] train-mlogloss:0.119431+0.003221    test-mlogloss:0.876827+0.046617 
## [75] train-mlogloss:0.117259+0.003463    test-mlogloss:0.879399+0.046219 
## [76] train-mlogloss:0.115459+0.003203    test-mlogloss:0.881287+0.046246 
## [77] train-mlogloss:0.113947+0.003216    test-mlogloss:0.883173+0.046227 
## [78] train-mlogloss:0.111735+0.002573    test-mlogloss:0.884334+0.047944 
## [79] train-mlogloss:0.109769+0.002433    test-mlogloss:0.886955+0.047189 
## [80] train-mlogloss:0.107383+0.002569    test-mlogloss:0.890779+0.046458 
## [81] train-mlogloss:0.105902+0.002712    test-mlogloss:0.892689+0.047622 
## [82] train-mlogloss:0.103624+0.002491    test-mlogloss:0.895865+0.048658 
## [83] train-mlogloss:0.101139+0.002230    test-mlogloss:0.899289+0.047828 
## [84] train-mlogloss:0.099556+0.001865    test-mlogloss:0.899818+0.047244 
## [85] train-mlogloss:0.097756+0.001647    test-mlogloss:0.901674+0.048519 
## [86] train-mlogloss:0.095575+0.001488    test-mlogloss:0.905889+0.050172 
## [87] train-mlogloss:0.093730+0.001358    test-mlogloss:0.907837+0.050139 
## [88] train-mlogloss:0.091772+0.001324    test-mlogloss:0.912513+0.052234 
## [89] train-mlogloss:0.090137+0.001457    test-mlogloss:0.914949+0.053196 
## [90] train-mlogloss:0.088093+0.001817    test-mlogloss:0.919258+0.052378 
## [91] train-mlogloss:0.086266+0.001793    test-mlogloss:0.922689+0.052826 
## [92] train-mlogloss:0.084544+0.001924    test-mlogloss:0.926835+0.054255 
## [93] train-mlogloss:0.082697+0.001355    test-mlogloss:0.929663+0.054093 
## [94] train-mlogloss:0.081071+0.001435    test-mlogloss:0.930152+0.056285 
## [95] train-mlogloss:0.079240+0.001461    test-mlogloss:0.935422+0.055922 
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## [98] train-mlogloss:0.073878+0.001164    test-mlogloss:0.943433+0.054520 
## [99] train-mlogloss:0.072433+0.001319    test-mlogloss:0.944885+0.054298 
## [100]    train-mlogloss:0.070915+0.001362    test-mlogloss:0.947612+0.053425 
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## [102]    train-mlogloss:0.068100+0.001222    test-mlogloss:0.954617+0.051749 
## [103]    train-mlogloss:0.067057+0.000948    test-mlogloss:0.957756+0.052117 
## [104]    train-mlogloss:0.065870+0.000996    test-mlogloss:0.960318+0.052126 
## [105]    train-mlogloss:0.064981+0.000998    test-mlogloss:0.962667+0.051269 
## [106]    train-mlogloss:0.063997+0.001023    test-mlogloss:0.964541+0.052538 
## [107]    train-mlogloss:0.063012+0.001428    test-mlogloss:0.966588+0.053385 
## [108]    train-mlogloss:0.062239+0.001691    test-mlogloss:0.968474+0.054208 
## [109]    train-mlogloss:0.060992+0.001799    test-mlogloss:0.972257+0.051271 
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## [461]    train-mlogloss:0.003020+0.000115    test-mlogloss:1.362434+0.083171 
## [462]    train-mlogloss:0.003011+0.000116    test-mlogloss:1.362483+0.083612 
## [463]    train-mlogloss:0.003003+0.000116    test-mlogloss:1.363332+0.084169 
## [464]    train-mlogloss:0.002997+0.000115    test-mlogloss:1.363470+0.083989 
## [465]    train-mlogloss:0.002987+0.000115    test-mlogloss:1.363637+0.083595 
## [466]    train-mlogloss:0.002977+0.000114    test-mlogloss:1.364308+0.083635 
## [467]    train-mlogloss:0.002967+0.000116    test-mlogloss:1.365251+0.083877 
## [468]    train-mlogloss:0.002956+0.000119    test-mlogloss:1.365909+0.083928 
## [469]    train-mlogloss:0.002945+0.000117    test-mlogloss:1.365836+0.083864 
## [470]    train-mlogloss:0.002935+0.000115    test-mlogloss:1.366565+0.083274 
## [471]    train-mlogloss:0.002926+0.000113    test-mlogloss:1.366535+0.083475 
## [472]    train-mlogloss:0.002916+0.000112    test-mlogloss:1.366689+0.083524 
## [473]    train-mlogloss:0.002907+0.000112    test-mlogloss:1.367259+0.083176 
## [474]    train-mlogloss:0.002897+0.000112    test-mlogloss:1.368157+0.083241 
## [475]    train-mlogloss:0.002888+0.000111    test-mlogloss:1.368497+0.083659 
## [476]    train-mlogloss:0.002877+0.000114    test-mlogloss:1.369161+0.084177 
## [477]    train-mlogloss:0.002865+0.000115    test-mlogloss:1.370376+0.083980 
## [478]    train-mlogloss:0.002854+0.000114    test-mlogloss:1.371501+0.083962 
## [479]    train-mlogloss:0.002844+0.000113    test-mlogloss:1.371179+0.083802 
## [480]    train-mlogloss:0.002835+0.000116    test-mlogloss:1.371651+0.084217 
## [481]    train-mlogloss:0.002827+0.000114    test-mlogloss:1.371948+0.085186 
## [482]    train-mlogloss:0.002819+0.000114    test-mlogloss:1.372617+0.084808 
## [483]    train-mlogloss:0.002809+0.000114    test-mlogloss:1.372516+0.084929 
## [484]    train-mlogloss:0.002799+0.000110    test-mlogloss:1.373093+0.085176 
## [485]    train-mlogloss:0.002788+0.000108    test-mlogloss:1.372983+0.085320 
## [486]    train-mlogloss:0.002780+0.000109    test-mlogloss:1.374118+0.085045 
## [487]    train-mlogloss:0.002773+0.000108    test-mlogloss:1.374742+0.085403 
## [488]    train-mlogloss:0.002763+0.000105    test-mlogloss:1.375220+0.086088 
## [489]    train-mlogloss:0.002753+0.000105    test-mlogloss:1.375859+0.086111 
## [490]    train-mlogloss:0.002746+0.000103    test-mlogloss:1.375893+0.085451 
## [491]    train-mlogloss:0.002735+0.000102    test-mlogloss:1.376309+0.085021 
## [492]    train-mlogloss:0.002725+0.000102    test-mlogloss:1.376924+0.085069 
## [493]    train-mlogloss:0.002713+0.000103    test-mlogloss:1.377801+0.085420 
## [494]    train-mlogloss:0.002705+0.000102    test-mlogloss:1.378234+0.085745 
## [495]    train-mlogloss:0.002697+0.000102    test-mlogloss:1.378818+0.086462 
## [496]    train-mlogloss:0.002689+0.000102    test-mlogloss:1.378606+0.086181 
## [497]    train-mlogloss:0.002680+0.000103    test-mlogloss:1.379243+0.086819 
## [498]    train-mlogloss:0.002672+0.000104    test-mlogloss:1.379579+0.086293 
## [499]    train-mlogloss:0.002664+0.000104    test-mlogloss:1.380385+0.086957 
## [500]    train-mlogloss:0.002658+0.000103    test-mlogloss:1.381094+0.087125 
## [1]  train-mlogloss:0.264793+0.009208    test-mlogloss:0.682450+0.004041 
## [2]  train-mlogloss:0.146792+0.003183    test-mlogloss:0.729420+0.003975 
## [3]  train-mlogloss:0.093863+0.002117    test-mlogloss:0.759546+0.011344 
## [4]  train-mlogloss:0.069246+0.001494    test-mlogloss:0.786203+0.017268 
## [5]  train-mlogloss:0.056493+0.003716    test-mlogloss:0.808348+0.021786 
## [6]  train-mlogloss:0.046772+0.003816    test-mlogloss:0.825426+0.019860 
## [7]  train-mlogloss:0.038237+0.002315    test-mlogloss:0.845478+0.021728 
## [8]  train-mlogloss:0.032620+0.001836    test-mlogloss:0.856615+0.019785 
## [9]  train-mlogloss:0.028203+0.001418    test-mlogloss:0.869817+0.019589 
## [10] train-mlogloss:0.025252+0.001252    test-mlogloss:0.880168+0.021640 
## [11] train-mlogloss:0.022563+0.001210    test-mlogloss:0.891918+0.025389 
## [12] train-mlogloss:0.020260+0.000998    test-mlogloss:0.901946+0.026463 
## [13] train-mlogloss:0.018523+0.000827    test-mlogloss:0.912065+0.027427 
## [14] train-mlogloss:0.017013+0.000702    test-mlogloss:0.919971+0.028645 
## [15] train-mlogloss:0.015803+0.000597    test-mlogloss:0.927210+0.030075 
## [16] train-mlogloss:0.014774+0.000637    test-mlogloss:0.938043+0.029306 
## [17] train-mlogloss:0.013835+0.000513    test-mlogloss:0.943273+0.030433 
## [18] train-mlogloss:0.013017+0.000475    test-mlogloss:0.951926+0.031813 
## [19] train-mlogloss:0.012254+0.000427    test-mlogloss:0.957623+0.033973 
## [20] train-mlogloss:0.011634+0.000407    test-mlogloss:0.963588+0.033895 
## [21] train-mlogloss:0.011050+0.000364    test-mlogloss:0.969089+0.034416 
## [22] train-mlogloss:0.010514+0.000316    test-mlogloss:0.973883+0.036905 
## [23] train-mlogloss:0.010048+0.000317    test-mlogloss:0.977744+0.037363 
## [24] train-mlogloss:0.009624+0.000286    test-mlogloss:0.983086+0.039498 
## [25] train-mlogloss:0.009257+0.000250    test-mlogloss:0.987633+0.038458 
## [26] train-mlogloss:0.008908+0.000224    test-mlogloss:0.990738+0.037751 
## [27] train-mlogloss:0.008595+0.000219    test-mlogloss:0.995375+0.037742 
## [28] train-mlogloss:0.008285+0.000193    test-mlogloss:0.998806+0.035996 
## [29] train-mlogloss:0.008004+0.000191    test-mlogloss:1.002543+0.034813 
## [30] train-mlogloss:0.007757+0.000178    test-mlogloss:1.007609+0.034633 
## [31] train-mlogloss:0.007517+0.000167    test-mlogloss:1.010488+0.035080 
## [32] train-mlogloss:0.007293+0.000158    test-mlogloss:1.013392+0.036207 
## [33] train-mlogloss:0.007079+0.000146    test-mlogloss:1.018795+0.036070 
## [34] train-mlogloss:0.006872+0.000144    test-mlogloss:1.022274+0.036360 
## [35] train-mlogloss:0.006689+0.000137    test-mlogloss:1.025118+0.037036 
## [36] train-mlogloss:0.006511+0.000132    test-mlogloss:1.028645+0.036095 
## [37] train-mlogloss:0.006362+0.000143    test-mlogloss:1.032578+0.036984 
## [38] train-mlogloss:0.006214+0.000136    test-mlogloss:1.037305+0.036194 
## [39] train-mlogloss:0.006059+0.000124    test-mlogloss:1.039660+0.037341 
## [40] train-mlogloss:0.005922+0.000128    test-mlogloss:1.042363+0.037540 
## [41] train-mlogloss:0.005798+0.000131    test-mlogloss:1.044460+0.036895 
## [42] train-mlogloss:0.005681+0.000127    test-mlogloss:1.046152+0.035863 
## [43] train-mlogloss:0.005557+0.000126    test-mlogloss:1.048734+0.037130 
## [44] train-mlogloss:0.005447+0.000128    test-mlogloss:1.050736+0.038946 
## [45] train-mlogloss:0.005335+0.000120    test-mlogloss:1.053266+0.038604 
## [46] train-mlogloss:0.005235+0.000113    test-mlogloss:1.055168+0.038832 
## [47] train-mlogloss:0.005142+0.000111    test-mlogloss:1.057292+0.039072 
## [48] train-mlogloss:0.005051+0.000106    test-mlogloss:1.058604+0.039073 
## [49] train-mlogloss:0.004964+0.000108    test-mlogloss:1.060747+0.038836 
## [50] train-mlogloss:0.004877+0.000104    test-mlogloss:1.063167+0.040410 
## [51] train-mlogloss:0.004797+0.000098    test-mlogloss:1.065221+0.039134 
## [52] train-mlogloss:0.004724+0.000087    test-mlogloss:1.066887+0.039673 
## [53] train-mlogloss:0.004651+0.000086    test-mlogloss:1.069469+0.040321 
## [54] train-mlogloss:0.004582+0.000086    test-mlogloss:1.071592+0.041702 
## [55] train-mlogloss:0.004518+0.000080    test-mlogloss:1.073420+0.041586 
## [56] train-mlogloss:0.004454+0.000083    test-mlogloss:1.076292+0.041841 
## [57] train-mlogloss:0.004392+0.000079    test-mlogloss:1.077626+0.041375 
## [58] train-mlogloss:0.004330+0.000077    test-mlogloss:1.079260+0.041627 
## [59] train-mlogloss:0.004271+0.000075    test-mlogloss:1.080001+0.042761 
## [60] train-mlogloss:0.004213+0.000072    test-mlogloss:1.081948+0.042697 
## [61] train-mlogloss:0.004158+0.000070    test-mlogloss:1.083689+0.042612 
## [62] train-mlogloss:0.004102+0.000068    test-mlogloss:1.086111+0.043400 
## [63] train-mlogloss:0.004049+0.000060    test-mlogloss:1.087304+0.043481 
## [64] train-mlogloss:0.003996+0.000060    test-mlogloss:1.088570+0.043585 
## [65] train-mlogloss:0.003948+0.000058    test-mlogloss:1.089678+0.042561 
## [66] train-mlogloss:0.003900+0.000056    test-mlogloss:1.091942+0.043162 
## [67] train-mlogloss:0.003856+0.000055    test-mlogloss:1.093890+0.043071 
## [68] train-mlogloss:0.003810+0.000052    test-mlogloss:1.094965+0.043803 
## [69] train-mlogloss:0.003766+0.000048    test-mlogloss:1.096797+0.043766 
## [70] train-mlogloss:0.003725+0.000044    test-mlogloss:1.098514+0.044901 
## [71] train-mlogloss:0.003685+0.000040    test-mlogloss:1.100351+0.044701 
## [72] train-mlogloss:0.003644+0.000039    test-mlogloss:1.101162+0.044242 
## [73] train-mlogloss:0.003603+0.000037    test-mlogloss:1.103296+0.044764 
## [74] train-mlogloss:0.003567+0.000037    test-mlogloss:1.104623+0.045523 
## [75] train-mlogloss:0.003531+0.000038    test-mlogloss:1.105594+0.046184 
## [76] train-mlogloss:0.003496+0.000038    test-mlogloss:1.106857+0.045335 
## [77] train-mlogloss:0.003461+0.000038    test-mlogloss:1.107916+0.045749 
## [78] train-mlogloss:0.003427+0.000038    test-mlogloss:1.110037+0.045355 
## [79] train-mlogloss:0.003394+0.000034    test-mlogloss:1.112267+0.045991 
## [80] train-mlogloss:0.003363+0.000034    test-mlogloss:1.113741+0.046653 
## [81] train-mlogloss:0.003333+0.000036    test-mlogloss:1.115531+0.046593 
## [82] train-mlogloss:0.003305+0.000035    test-mlogloss:1.116274+0.046682 
## [83] train-mlogloss:0.003276+0.000034    test-mlogloss:1.117762+0.046634 
## [84] train-mlogloss:0.003246+0.000034    test-mlogloss:1.120073+0.046636 
## [85] train-mlogloss:0.003217+0.000033    test-mlogloss:1.121227+0.046271 
## [86] train-mlogloss:0.003188+0.000032    test-mlogloss:1.122826+0.046323 
## [87] train-mlogloss:0.003162+0.000031    test-mlogloss:1.125206+0.046037 
## [88] train-mlogloss:0.003136+0.000030    test-mlogloss:1.125735+0.046504 
## [89] train-mlogloss:0.003111+0.000030    test-mlogloss:1.126330+0.047117 
## [90] train-mlogloss:0.003086+0.000030    test-mlogloss:1.127333+0.046761 
## [91] train-mlogloss:0.003059+0.000030    test-mlogloss:1.128393+0.046565 
## [92] train-mlogloss:0.003035+0.000029    test-mlogloss:1.129528+0.046300 
## [93] train-mlogloss:0.003010+0.000030    test-mlogloss:1.130731+0.046782 
## [94] train-mlogloss:0.002988+0.000030    test-mlogloss:1.132078+0.047077 
## [95] train-mlogloss:0.002963+0.000029    test-mlogloss:1.132391+0.047317 
## [96] train-mlogloss:0.002941+0.000030    test-mlogloss:1.134239+0.047454 
## [97] train-mlogloss:0.002920+0.000028    test-mlogloss:1.135872+0.046905 
## [98] train-mlogloss:0.002899+0.000028    test-mlogloss:1.136870+0.047408 
## [99] train-mlogloss:0.002879+0.000027    test-mlogloss:1.137843+0.046925 
## [100]    train-mlogloss:0.002859+0.000027    test-mlogloss:1.139099+0.046453 
## [101]    train-mlogloss:0.002838+0.000028    test-mlogloss:1.140068+0.046124 
## [102]    train-mlogloss:0.002817+0.000027    test-mlogloss:1.141090+0.046261 
## [103]    train-mlogloss:0.002797+0.000027    test-mlogloss:1.141910+0.046693 
## [104]    train-mlogloss:0.002777+0.000028    test-mlogloss:1.143299+0.045643 
## [105]    train-mlogloss:0.002759+0.000028    test-mlogloss:1.144731+0.046748 
## [106]    train-mlogloss:0.002742+0.000027    test-mlogloss:1.145247+0.046811 
## [107]    train-mlogloss:0.002722+0.000027    test-mlogloss:1.146136+0.045481 
## [108]    train-mlogloss:0.002706+0.000026    test-mlogloss:1.147608+0.045343 
## [109]    train-mlogloss:0.002688+0.000027    test-mlogloss:1.147993+0.045945 
## [110]    train-mlogloss:0.002671+0.000026    test-mlogloss:1.148633+0.046397 
## [111]    train-mlogloss:0.002653+0.000026    test-mlogloss:1.149861+0.045380 
## [112]    train-mlogloss:0.002637+0.000026    test-mlogloss:1.151207+0.045335 
## [113]    train-mlogloss:0.002621+0.000026    test-mlogloss:1.151911+0.045177 
## [114]    train-mlogloss:0.002605+0.000026    test-mlogloss:1.153380+0.045284 
## [115]    train-mlogloss:0.002589+0.000026    test-mlogloss:1.154721+0.045764 
## [116]    train-mlogloss:0.002575+0.000026    test-mlogloss:1.155758+0.045502 
## [117]    train-mlogloss:0.002559+0.000024    test-mlogloss:1.156308+0.045682 
## [118]    train-mlogloss:0.002544+0.000022    test-mlogloss:1.156878+0.045380 
## [119]    train-mlogloss:0.002530+0.000021    test-mlogloss:1.157757+0.045230 
## [120]    train-mlogloss:0.002516+0.000022    test-mlogloss:1.158954+0.045282 
## [121]    train-mlogloss:0.002501+0.000024    test-mlogloss:1.159425+0.045744 
## [122]    train-mlogloss:0.002485+0.000025    test-mlogloss:1.160587+0.045372 
## [123]    train-mlogloss:0.002473+0.000024    test-mlogloss:1.161709+0.044958 
## [124]    train-mlogloss:0.002460+0.000023    test-mlogloss:1.162467+0.044607 
## [125]    train-mlogloss:0.002447+0.000023    test-mlogloss:1.163709+0.045033 
## [126]    train-mlogloss:0.002432+0.000023    test-mlogloss:1.163943+0.045410 
## [127]    train-mlogloss:0.002419+0.000023    test-mlogloss:1.164966+0.044735 
## [128]    train-mlogloss:0.002406+0.000023    test-mlogloss:1.165770+0.045034 
## [129]    train-mlogloss:0.002392+0.000024    test-mlogloss:1.166347+0.045427 
## [130]    train-mlogloss:0.002380+0.000023    test-mlogloss:1.166707+0.046190 
## [131]    train-mlogloss:0.002367+0.000022    test-mlogloss:1.167186+0.046338 
## [132]    train-mlogloss:0.002354+0.000022    test-mlogloss:1.167560+0.046294 
## [133]    train-mlogloss:0.002341+0.000021    test-mlogloss:1.168102+0.047008 
## [134]    train-mlogloss:0.002329+0.000022    test-mlogloss:1.168939+0.046358 
## [135]    train-mlogloss:0.002318+0.000021    test-mlogloss:1.168906+0.046074 
## [136]    train-mlogloss:0.002307+0.000021    test-mlogloss:1.170407+0.046896 
## [137]    train-mlogloss:0.002295+0.000022    test-mlogloss:1.170713+0.047308 
## [138]    train-mlogloss:0.002283+0.000021    test-mlogloss:1.171917+0.047093 
## [139]    train-mlogloss:0.002272+0.000020    test-mlogloss:1.172729+0.046908 
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## [144]    train-mlogloss:0.002220+0.000019    test-mlogloss:1.177023+0.048406 
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## [165]    train-mlogloss:0.002029+0.000017    test-mlogloss:1.188703+0.049882 
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## [167]    train-mlogloss:0.002014+0.000018    test-mlogloss:1.189121+0.050121 
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## [379]    train-mlogloss:0.001230+0.000006    test-mlogloss:1.266335+0.050548 
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## [383]    train-mlogloss:0.001224+0.000006    test-mlogloss:1.266877+0.050621 
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## [385]    train-mlogloss:0.001221+0.000006    test-mlogloss:1.267179+0.050528 
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## [392]    train-mlogloss:0.001208+0.000005    test-mlogloss:1.268880+0.050987 
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## [399]    train-mlogloss:0.001197+0.000005    test-mlogloss:1.269957+0.050777 
## [400]    train-mlogloss:0.001196+0.000006    test-mlogloss:1.270476+0.050886 
## [401]    train-mlogloss:0.001194+0.000006    test-mlogloss:1.270644+0.050995 
## [402]    train-mlogloss:0.001192+0.000006    test-mlogloss:1.270942+0.051066 
## [403]    train-mlogloss:0.001191+0.000006    test-mlogloss:1.271027+0.051136 
## [404]    train-mlogloss:0.001189+0.000006    test-mlogloss:1.271395+0.050565 
## [405]    train-mlogloss:0.001188+0.000006    test-mlogloss:1.271730+0.050757 
## [406]    train-mlogloss:0.001186+0.000006    test-mlogloss:1.271831+0.050425 
## [407]    train-mlogloss:0.001185+0.000006    test-mlogloss:1.272118+0.050473 
## [408]    train-mlogloss:0.001183+0.000006    test-mlogloss:1.272223+0.051006 
## [409]    train-mlogloss:0.001182+0.000006    test-mlogloss:1.272286+0.050773 
## [410]    train-mlogloss:0.001180+0.000006    test-mlogloss:1.272628+0.050753 
## [411]    train-mlogloss:0.001178+0.000006    test-mlogloss:1.272601+0.051059 
## [412]    train-mlogloss:0.001177+0.000005    test-mlogloss:1.272653+0.051050 
## [413]    train-mlogloss:0.001176+0.000006    test-mlogloss:1.272543+0.051149 
## [414]    train-mlogloss:0.001174+0.000005    test-mlogloss:1.272972+0.051053 
## [415]    train-mlogloss:0.001173+0.000006    test-mlogloss:1.273087+0.051091 
## [416]    train-mlogloss:0.001171+0.000005    test-mlogloss:1.273268+0.051220 
## [417]    train-mlogloss:0.001170+0.000005    test-mlogloss:1.273288+0.051052 
## [418]    train-mlogloss:0.001168+0.000006    test-mlogloss:1.273219+0.051231 
## [419]    train-mlogloss:0.001167+0.000005    test-mlogloss:1.273456+0.051580 
## [420]    train-mlogloss:0.001165+0.000006    test-mlogloss:1.273822+0.051454 
## [421]    train-mlogloss:0.001164+0.000005    test-mlogloss:1.273915+0.051186 
## [422]    train-mlogloss:0.001163+0.000006    test-mlogloss:1.274122+0.051132 
## [423]    train-mlogloss:0.001161+0.000005    test-mlogloss:1.274391+0.051355 
## [424]    train-mlogloss:0.001160+0.000006    test-mlogloss:1.274495+0.051158 
## [425]    train-mlogloss:0.001158+0.000006    test-mlogloss:1.274825+0.051267 
## [426]    train-mlogloss:0.001157+0.000006    test-mlogloss:1.275621+0.051389 
## [427]    train-mlogloss:0.001155+0.000006    test-mlogloss:1.275702+0.051361 
## [428]    train-mlogloss:0.001154+0.000005    test-mlogloss:1.276004+0.051409 
## [429]    train-mlogloss:0.001152+0.000006    test-mlogloss:1.275969+0.051252 
## [430]    train-mlogloss:0.001151+0.000005    test-mlogloss:1.276224+0.051587 
## [431]    train-mlogloss:0.001149+0.000005    test-mlogloss:1.275797+0.051892 
## [432]    train-mlogloss:0.001148+0.000006    test-mlogloss:1.275941+0.052029 
## [433]    train-mlogloss:0.001147+0.000006    test-mlogloss:1.276069+0.051787 
## [434]    train-mlogloss:0.001145+0.000006    test-mlogloss:1.275955+0.051688 
## [435]    train-mlogloss:0.001144+0.000006    test-mlogloss:1.276025+0.051510 
## [436]    train-mlogloss:0.001143+0.000006    test-mlogloss:1.276339+0.051303 
## [437]    train-mlogloss:0.001141+0.000006    test-mlogloss:1.276524+0.051122 
## [438]    train-mlogloss:0.001140+0.000006    test-mlogloss:1.276783+0.051482 
## [439]    train-mlogloss:0.001139+0.000006    test-mlogloss:1.276752+0.051945 
## [440]    train-mlogloss:0.001137+0.000006    test-mlogloss:1.277029+0.051768 
## [441]    train-mlogloss:0.001136+0.000006    test-mlogloss:1.276942+0.051539 
## [442]    train-mlogloss:0.001135+0.000006    test-mlogloss:1.277618+0.051716 
## [443]    train-mlogloss:0.001133+0.000006    test-mlogloss:1.277960+0.051406 
## [444]    train-mlogloss:0.001132+0.000006    test-mlogloss:1.278061+0.051454 
## [445]    train-mlogloss:0.001130+0.000006    test-mlogloss:1.278213+0.051718 
## [446]    train-mlogloss:0.001129+0.000006    test-mlogloss:1.278784+0.051544 
## [447]    train-mlogloss:0.001128+0.000006    test-mlogloss:1.278931+0.051802 
## [448]    train-mlogloss:0.001126+0.000006    test-mlogloss:1.279204+0.051796 
## [449]    train-mlogloss:0.001125+0.000006    test-mlogloss:1.279400+0.051659 
## [450]    train-mlogloss:0.001124+0.000006    test-mlogloss:1.279575+0.051674 
## [451]    train-mlogloss:0.001122+0.000006    test-mlogloss:1.279931+0.051557 
## [452]    train-mlogloss:0.001121+0.000006    test-mlogloss:1.280452+0.051411 
## [453]    train-mlogloss:0.001120+0.000006    test-mlogloss:1.280371+0.051325 
## [454]    train-mlogloss:0.001118+0.000006    test-mlogloss:1.280570+0.051737 
## [455]    train-mlogloss:0.001117+0.000005    test-mlogloss:1.280940+0.051601 
## [456]    train-mlogloss:0.001116+0.000006    test-mlogloss:1.281247+0.051610 
## [457]    train-mlogloss:0.001115+0.000006    test-mlogloss:1.281242+0.051281 
## [458]    train-mlogloss:0.001113+0.000006    test-mlogloss:1.281647+0.051073 
## [459]    train-mlogloss:0.001112+0.000006    test-mlogloss:1.281210+0.051152 
## [460]    train-mlogloss:0.001111+0.000005    test-mlogloss:1.282041+0.051315 
## [461]    train-mlogloss:0.001109+0.000006    test-mlogloss:1.281962+0.051140 
## [462]    train-mlogloss:0.001108+0.000006    test-mlogloss:1.281603+0.050988 
## [463]    train-mlogloss:0.001107+0.000006    test-mlogloss:1.281963+0.051237 
## [464]    train-mlogloss:0.001106+0.000005    test-mlogloss:1.282483+0.051434 
## [465]    train-mlogloss:0.001105+0.000005    test-mlogloss:1.282650+0.051416 
## [466]    train-mlogloss:0.001104+0.000005    test-mlogloss:1.282594+0.051102 
## [467]    train-mlogloss:0.001103+0.000005    test-mlogloss:1.282453+0.050935 
## [468]    train-mlogloss:0.001101+0.000005    test-mlogloss:1.282940+0.050858 
## [469]    train-mlogloss:0.001100+0.000005    test-mlogloss:1.283192+0.050684 
## [470]    train-mlogloss:0.001099+0.000005    test-mlogloss:1.283289+0.050964 
## [471]    train-mlogloss:0.001097+0.000005    test-mlogloss:1.283802+0.050864 
## [472]    train-mlogloss:0.001096+0.000005    test-mlogloss:1.283967+0.051023 
## [473]    train-mlogloss:0.001095+0.000006    test-mlogloss:1.284161+0.051087 
## [474]    train-mlogloss:0.001094+0.000005    test-mlogloss:1.284562+0.051388 
## [475]    train-mlogloss:0.001093+0.000005    test-mlogloss:1.284584+0.051241 
## [476]    train-mlogloss:0.001092+0.000005    test-mlogloss:1.285065+0.051287 
## [477]    train-mlogloss:0.001090+0.000006    test-mlogloss:1.285080+0.051583 
## [478]    train-mlogloss:0.001089+0.000005    test-mlogloss:1.285371+0.051376 
## [479]    train-mlogloss:0.001088+0.000005    test-mlogloss:1.285483+0.051041 
## [480]    train-mlogloss:0.001086+0.000006    test-mlogloss:1.285556+0.050675 
## [481]    train-mlogloss:0.001085+0.000006    test-mlogloss:1.285925+0.050816 
## [482]    train-mlogloss:0.001084+0.000005    test-mlogloss:1.286292+0.051157 
## [483]    train-mlogloss:0.001083+0.000005    test-mlogloss:1.286511+0.051650 
## [484]    train-mlogloss:0.001082+0.000005    test-mlogloss:1.286692+0.051798 
## [485]    train-mlogloss:0.001081+0.000005    test-mlogloss:1.286922+0.051684 
## [486]    train-mlogloss:0.001080+0.000006    test-mlogloss:1.286791+0.051588 
## [487]    train-mlogloss:0.001078+0.000005    test-mlogloss:1.287058+0.052065 
## [488]    train-mlogloss:0.001078+0.000005    test-mlogloss:1.287283+0.051752 
## [489]    train-mlogloss:0.001077+0.000005    test-mlogloss:1.287603+0.051701 
## [490]    train-mlogloss:0.001076+0.000005    test-mlogloss:1.287986+0.051459 
## [491]    train-mlogloss:0.001074+0.000005    test-mlogloss:1.287596+0.051496 
## [492]    train-mlogloss:0.001073+0.000005    test-mlogloss:1.288122+0.051889 
## [493]    train-mlogloss:0.001072+0.000005    test-mlogloss:1.288346+0.051935 
## [494]    train-mlogloss:0.001071+0.000005    test-mlogloss:1.288476+0.051670 
## [495]    train-mlogloss:0.001070+0.000005    test-mlogloss:1.288444+0.052012 
## [496]    train-mlogloss:0.001069+0.000005    test-mlogloss:1.288507+0.051767 
## [497]    train-mlogloss:0.001068+0.000005    test-mlogloss:1.288536+0.052065 
## [498]    train-mlogloss:0.001067+0.000005    test-mlogloss:1.288728+0.051834 
## [499]    train-mlogloss:0.001066+0.000005    test-mlogloss:1.288985+0.052132 
## [500]    train-mlogloss:0.001065+0.000005    test-mlogloss:1.289239+0.052016 
## [1]  train-mlogloss:0.615299+0.000790    test-mlogloss:0.621672+0.001461 
## [2]  train-mlogloss:0.572746+0.000712    test-mlogloss:0.584983+0.002296 
## [3]  train-mlogloss:0.544763+0.000447    test-mlogloss:0.562833+0.002121 
## [4]  train-mlogloss:0.526863+0.000608    test-mlogloss:0.550918+0.002383 
## [5]  train-mlogloss:0.514617+0.000832    test-mlogloss:0.543367+0.002950 
## [6]  train-mlogloss:0.505835+0.000874    test-mlogloss:0.539091+0.003475 
## [7]  train-mlogloss:0.498840+0.001151    test-mlogloss:0.536844+0.003931 
## [8]  train-mlogloss:0.493928+0.001039    test-mlogloss:0.536140+0.004058 
## [9]  train-mlogloss:0.488995+0.000997    test-mlogloss:0.535709+0.004768 
## [10] train-mlogloss:0.485655+0.001201    test-mlogloss:0.535506+0.005008 
## [11] train-mlogloss:0.481682+0.001265    test-mlogloss:0.535992+0.005193 
## [12] train-mlogloss:0.478462+0.001166    test-mlogloss:0.536181+0.005132 
## [13] train-mlogloss:0.474775+0.000928    test-mlogloss:0.537344+0.005452 
## [14] train-mlogloss:0.471774+0.000737    test-mlogloss:0.537799+0.006429 
## [15] train-mlogloss:0.468918+0.000382    test-mlogloss:0.538410+0.006044 
## [16] train-mlogloss:0.466189+0.000696    test-mlogloss:0.539378+0.005620 
## [17] train-mlogloss:0.462222+0.001391    test-mlogloss:0.539527+0.005859 
## [18] train-mlogloss:0.459605+0.001300    test-mlogloss:0.540633+0.006121 
## [19] train-mlogloss:0.457037+0.001423    test-mlogloss:0.540743+0.006105 
## [20] train-mlogloss:0.455124+0.001599    test-mlogloss:0.540857+0.006290 
## [21] train-mlogloss:0.452670+0.001350    test-mlogloss:0.541485+0.006290 
## [22] train-mlogloss:0.449676+0.001610    test-mlogloss:0.542573+0.006339 
## [23] train-mlogloss:0.447069+0.002011    test-mlogloss:0.542533+0.006128 
## [24] train-mlogloss:0.444539+0.001905    test-mlogloss:0.543201+0.006425 
## [25] train-mlogloss:0.441778+0.002052    test-mlogloss:0.543779+0.006792 
## [26] train-mlogloss:0.438992+0.001681    test-mlogloss:0.544336+0.006769 
## [27] train-mlogloss:0.436202+0.001763    test-mlogloss:0.544949+0.006962 
## [28] train-mlogloss:0.432984+0.001703    test-mlogloss:0.545857+0.006962 
## [29] train-mlogloss:0.430126+0.002275    test-mlogloss:0.546235+0.006866 
## [30] train-mlogloss:0.428020+0.002242    test-mlogloss:0.547071+0.006793 
## [31] train-mlogloss:0.425122+0.002714    test-mlogloss:0.547864+0.006872 
## [32] train-mlogloss:0.422633+0.002698    test-mlogloss:0.547957+0.007171 
## [33] train-mlogloss:0.420700+0.002807    test-mlogloss:0.548618+0.007511 
## [34] train-mlogloss:0.418244+0.002383    test-mlogloss:0.549405+0.007698 
## [35] train-mlogloss:0.415870+0.002603    test-mlogloss:0.549324+0.007732 
## [36] train-mlogloss:0.413421+0.002743    test-mlogloss:0.549626+0.007595 
## [37] train-mlogloss:0.410994+0.002530    test-mlogloss:0.549837+0.007854 
## [38] train-mlogloss:0.408866+0.002489    test-mlogloss:0.549791+0.006999 
## [39] train-mlogloss:0.406171+0.002813    test-mlogloss:0.550577+0.007394 
## [40] train-mlogloss:0.403744+0.002671    test-mlogloss:0.551322+0.007702 
## [41] train-mlogloss:0.401200+0.002466    test-mlogloss:0.551447+0.007390 
## [42] train-mlogloss:0.399260+0.002550    test-mlogloss:0.551981+0.007907 
## [43] train-mlogloss:0.397103+0.002974    test-mlogloss:0.553199+0.007321 
## [44] train-mlogloss:0.394809+0.003215    test-mlogloss:0.554229+0.007286 
## [45] train-mlogloss:0.392764+0.002794    test-mlogloss:0.555101+0.007506 
## [46] train-mlogloss:0.390964+0.002869    test-mlogloss:0.555271+0.008405 
## [47] train-mlogloss:0.388611+0.002311    test-mlogloss:0.555926+0.009333 
## [48] train-mlogloss:0.386474+0.001947    test-mlogloss:0.556454+0.009390 
## [49] train-mlogloss:0.384195+0.002179    test-mlogloss:0.556905+0.008656 
## [50] train-mlogloss:0.382093+0.001833    test-mlogloss:0.558242+0.009193 
## [51] train-mlogloss:0.380075+0.001640    test-mlogloss:0.559219+0.009289 
## [52] train-mlogloss:0.378153+0.001417    test-mlogloss:0.559477+0.009210 
## [53] train-mlogloss:0.375891+0.001088    test-mlogloss:0.560098+0.009484 
## [54] train-mlogloss:0.373914+0.000917    test-mlogloss:0.560628+0.010063 
## [55] train-mlogloss:0.371900+0.001070    test-mlogloss:0.561249+0.010452 
## [56] train-mlogloss:0.369597+0.001462    test-mlogloss:0.561804+0.010400 
## [57] train-mlogloss:0.367629+0.001736    test-mlogloss:0.562315+0.010477 
## [58] train-mlogloss:0.365585+0.002013    test-mlogloss:0.563186+0.010491 
## [59] train-mlogloss:0.363643+0.001783    test-mlogloss:0.563762+0.010153 
## [60] train-mlogloss:0.361482+0.002140    test-mlogloss:0.563833+0.010324 
## [61] train-mlogloss:0.359853+0.001950    test-mlogloss:0.563912+0.011207 
## [62] train-mlogloss:0.357728+0.002485    test-mlogloss:0.564805+0.010539 
## [63] train-mlogloss:0.355631+0.002625    test-mlogloss:0.565255+0.010266 
## [64] train-mlogloss:0.353480+0.002530    test-mlogloss:0.566492+0.010544 
## [65] train-mlogloss:0.351748+0.002662    test-mlogloss:0.567679+0.010414 
## [66] train-mlogloss:0.349821+0.002750    test-mlogloss:0.567827+0.010760 
## [67] train-mlogloss:0.347980+0.002246    test-mlogloss:0.568336+0.010937 
## [68] train-mlogloss:0.346342+0.002686    test-mlogloss:0.568633+0.011091 
## [69] train-mlogloss:0.344897+0.002866    test-mlogloss:0.568958+0.011157 
## [70] train-mlogloss:0.343009+0.003105    test-mlogloss:0.569336+0.011250 
## [71] train-mlogloss:0.341224+0.003063    test-mlogloss:0.569472+0.011775 
## [72] train-mlogloss:0.339335+0.003104    test-mlogloss:0.570473+0.011447 
## [73] train-mlogloss:0.337458+0.003359    test-mlogloss:0.571001+0.011574 
## [74] train-mlogloss:0.335425+0.003316    test-mlogloss:0.572248+0.012087 
## [75] train-mlogloss:0.333189+0.002888    test-mlogloss:0.572857+0.011706 
## [76] train-mlogloss:0.331649+0.002711    test-mlogloss:0.573892+0.011976 
## [77] train-mlogloss:0.329601+0.003043    test-mlogloss:0.573801+0.012059 
## [78] train-mlogloss:0.328147+0.002869    test-mlogloss:0.574077+0.011829 
## [79] train-mlogloss:0.326702+0.002931    test-mlogloss:0.574458+0.012019 
## [80] train-mlogloss:0.325000+0.002954    test-mlogloss:0.575734+0.012526 
## [81] train-mlogloss:0.323081+0.003165    test-mlogloss:0.576216+0.012430 
## [82] train-mlogloss:0.321007+0.003410    test-mlogloss:0.576891+0.012599 
## [83] train-mlogloss:0.319265+0.003473    test-mlogloss:0.577272+0.012874 
## [84] train-mlogloss:0.317943+0.003583    test-mlogloss:0.577469+0.012796 
## [85] train-mlogloss:0.316044+0.003719    test-mlogloss:0.578069+0.012865 
## [86] train-mlogloss:0.314619+0.003636    test-mlogloss:0.578797+0.013298 
## [87] train-mlogloss:0.313020+0.003950    test-mlogloss:0.579348+0.013110 
## [88] train-mlogloss:0.311558+0.003607    test-mlogloss:0.580091+0.012958 
## [89] train-mlogloss:0.310149+0.003511    test-mlogloss:0.580024+0.012706 
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## [92] train-mlogloss:0.305010+0.004128    test-mlogloss:0.580808+0.013793 
## [93] train-mlogloss:0.303659+0.004255    test-mlogloss:0.581064+0.013759 
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## [490]    train-mlogloss:0.058182+0.001538    test-mlogloss:0.786743+0.012750 
## [491]    train-mlogloss:0.058029+0.001512    test-mlogloss:0.787401+0.012766 
## [492]    train-mlogloss:0.057831+0.001514    test-mlogloss:0.787969+0.012534 
## [493]    train-mlogloss:0.057637+0.001499    test-mlogloss:0.788528+0.012274 
## [494]    train-mlogloss:0.057444+0.001474    test-mlogloss:0.789197+0.012236 
## [495]    train-mlogloss:0.057288+0.001478    test-mlogloss:0.789660+0.012324 
## [496]    train-mlogloss:0.057057+0.001474    test-mlogloss:0.789950+0.011739 
## [497]    train-mlogloss:0.056874+0.001469    test-mlogloss:0.789734+0.012021 
## [498]    train-mlogloss:0.056729+0.001450    test-mlogloss:0.790084+0.011864 
## [499]    train-mlogloss:0.056564+0.001448    test-mlogloss:0.790279+0.012005 
## [500]    train-mlogloss:0.056393+0.001410    test-mlogloss:0.791030+0.012515 
## [1]  train-mlogloss:0.582694+0.002295    test-mlogloss:0.629206+0.001567 
## [2]  train-mlogloss:0.510975+0.002604    test-mlogloss:0.596217+0.002437 
## [3]  train-mlogloss:0.455808+0.003117    test-mlogloss:0.579387+0.003758 
## [4]  train-mlogloss:0.412327+0.003688    test-mlogloss:0.570038+0.004118 
## [5]  train-mlogloss:0.377846+0.003090    test-mlogloss:0.564483+0.005524 
## [6]  train-mlogloss:0.349275+0.002828    test-mlogloss:0.563248+0.006694 
## [7]  train-mlogloss:0.324588+0.002982    test-mlogloss:0.565385+0.007242 
## [8]  train-mlogloss:0.303138+0.002129    test-mlogloss:0.568435+0.007309 
## [9]  train-mlogloss:0.285189+0.001531    test-mlogloss:0.571413+0.008242 
## [10] train-mlogloss:0.268966+0.001068    test-mlogloss:0.574133+0.008818 
## [11] train-mlogloss:0.254005+0.001101    test-mlogloss:0.578031+0.009956 
## [12] train-mlogloss:0.240893+0.002104    test-mlogloss:0.581002+0.009848 
## [13] train-mlogloss:0.229602+0.002711    test-mlogloss:0.585349+0.011247 
## [14] train-mlogloss:0.218936+0.003909    test-mlogloss:0.589246+0.011653 
## [15] train-mlogloss:0.209163+0.003957    test-mlogloss:0.591689+0.011342 
## [16] train-mlogloss:0.200822+0.003617    test-mlogloss:0.593848+0.011980 
## [17] train-mlogloss:0.192332+0.003609    test-mlogloss:0.596902+0.011307 
## [18] train-mlogloss:0.184273+0.003497    test-mlogloss:0.600312+0.010898 
## [19] train-mlogloss:0.176145+0.003000    test-mlogloss:0.603511+0.010802 
## [20] train-mlogloss:0.168726+0.002646    test-mlogloss:0.606576+0.010001 
## [21] train-mlogloss:0.162029+0.002698    test-mlogloss:0.609302+0.010875 
## [22] train-mlogloss:0.156134+0.002428    test-mlogloss:0.613363+0.010938 
## [23] train-mlogloss:0.149786+0.002702    test-mlogloss:0.615721+0.011847 
## [24] train-mlogloss:0.144149+0.002352    test-mlogloss:0.617946+0.011497 
## [25] train-mlogloss:0.138881+0.002301    test-mlogloss:0.620788+0.011647 
## [26] train-mlogloss:0.133567+0.002359    test-mlogloss:0.624273+0.012359 
## [27] train-mlogloss:0.128860+0.002257    test-mlogloss:0.627166+0.012881 
## [28] train-mlogloss:0.124316+0.002352    test-mlogloss:0.629978+0.013391 
## [29] train-mlogloss:0.120422+0.002429    test-mlogloss:0.632679+0.013353 
## [30] train-mlogloss:0.116399+0.002152    test-mlogloss:0.636326+0.013178 
## [31] train-mlogloss:0.112704+0.001912    test-mlogloss:0.639558+0.013167 
## [32] train-mlogloss:0.109395+0.001837    test-mlogloss:0.641888+0.013013 
## [33] train-mlogloss:0.106136+0.001824    test-mlogloss:0.644054+0.012467 
## [34] train-mlogloss:0.102984+0.001638    test-mlogloss:0.646551+0.011760 
## [35] train-mlogloss:0.099838+0.001581    test-mlogloss:0.648782+0.012384 
## [36] train-mlogloss:0.096962+0.001415    test-mlogloss:0.651999+0.012587 
## [37] train-mlogloss:0.094365+0.001364    test-mlogloss:0.654725+0.012821 
## [38] train-mlogloss:0.091859+0.001342    test-mlogloss:0.656568+0.013383 
## [39] train-mlogloss:0.089412+0.001271    test-mlogloss:0.658877+0.014200 
## [40] train-mlogloss:0.087102+0.001349    test-mlogloss:0.661043+0.014309 
## [41] train-mlogloss:0.084940+0.001272    test-mlogloss:0.663707+0.013492 
## [42] train-mlogloss:0.082936+0.001247    test-mlogloss:0.665844+0.014192 
## [43] train-mlogloss:0.080885+0.001150    test-mlogloss:0.668308+0.015050 
## [44] train-mlogloss:0.079027+0.001189    test-mlogloss:0.670172+0.015162 
## [45] train-mlogloss:0.077192+0.001066    test-mlogloss:0.672950+0.014595 
## [46] train-mlogloss:0.075458+0.001105    test-mlogloss:0.674773+0.014682 
## [47] train-mlogloss:0.073860+0.001044    test-mlogloss:0.676184+0.014864 
## [48] train-mlogloss:0.072345+0.000969    test-mlogloss:0.677599+0.014738 
## [49] train-mlogloss:0.070762+0.000916    test-mlogloss:0.679909+0.015149 
## [50] train-mlogloss:0.069343+0.000935    test-mlogloss:0.681902+0.015137 
## [51] train-mlogloss:0.067999+0.000885    test-mlogloss:0.684085+0.015966 
## [52] train-mlogloss:0.066738+0.000842    test-mlogloss:0.686112+0.016400 
## [53] train-mlogloss:0.065411+0.000788    test-mlogloss:0.687548+0.015751 
## [54] train-mlogloss:0.064236+0.000820    test-mlogloss:0.689000+0.015895 
## [55] train-mlogloss:0.063068+0.000763    test-mlogloss:0.691051+0.016270 
## [56] train-mlogloss:0.061935+0.000684    test-mlogloss:0.692612+0.016430 
## [57] train-mlogloss:0.060830+0.000686    test-mlogloss:0.694654+0.016579 
## [58] train-mlogloss:0.059757+0.000724    test-mlogloss:0.696566+0.016243 
## [59] train-mlogloss:0.058831+0.000732    test-mlogloss:0.698148+0.016478 
## [60] train-mlogloss:0.057832+0.000710    test-mlogloss:0.699907+0.015979 
## [61] train-mlogloss:0.056843+0.000721    test-mlogloss:0.701951+0.016281 
## [62] train-mlogloss:0.055923+0.000721    test-mlogloss:0.703977+0.016511 
## [63] train-mlogloss:0.055034+0.000676    test-mlogloss:0.705017+0.016220 
## [64] train-mlogloss:0.054197+0.000673    test-mlogloss:0.706161+0.016337 
## [65] train-mlogloss:0.053344+0.000661    test-mlogloss:0.708397+0.015589 
## [66] train-mlogloss:0.052497+0.000608    test-mlogloss:0.710267+0.015941 
## [67] train-mlogloss:0.051704+0.000594    test-mlogloss:0.712248+0.015661 
## [68] train-mlogloss:0.050938+0.000581    test-mlogloss:0.714010+0.015661 
## [69] train-mlogloss:0.050209+0.000568    test-mlogloss:0.715678+0.015987 
## [70] train-mlogloss:0.049492+0.000576    test-mlogloss:0.716996+0.015837 
## [71] train-mlogloss:0.048779+0.000572    test-mlogloss:0.717893+0.015825 
## [72] train-mlogloss:0.048096+0.000501    test-mlogloss:0.719423+0.015873 
## [73] train-mlogloss:0.047415+0.000509    test-mlogloss:0.720622+0.015544 
## [74] train-mlogloss:0.046790+0.000488    test-mlogloss:0.721972+0.015788 
## [75] train-mlogloss:0.046152+0.000506    test-mlogloss:0.723145+0.016029 
## [76] train-mlogloss:0.045588+0.000511    test-mlogloss:0.724464+0.015880 
## [77] train-mlogloss:0.044988+0.000504    test-mlogloss:0.726280+0.015767 
## [78] train-mlogloss:0.044434+0.000483    test-mlogloss:0.727393+0.015610 
## [79] train-mlogloss:0.043883+0.000457    test-mlogloss:0.728782+0.015954 
## [80] train-mlogloss:0.043359+0.000426    test-mlogloss:0.730595+0.015064 
## [81] train-mlogloss:0.042848+0.000426    test-mlogloss:0.731804+0.015423 
## [82] train-mlogloss:0.042361+0.000407    test-mlogloss:0.733077+0.015371 
## [83] train-mlogloss:0.041840+0.000423    test-mlogloss:0.734037+0.015271 
## [84] train-mlogloss:0.041349+0.000413    test-mlogloss:0.735452+0.015293 
## [85] train-mlogloss:0.040893+0.000427    test-mlogloss:0.736359+0.015411 
## [86] train-mlogloss:0.040397+0.000385    test-mlogloss:0.738659+0.015457 
## [87] train-mlogloss:0.039939+0.000363    test-mlogloss:0.740057+0.015606 
## [88] train-mlogloss:0.039512+0.000353    test-mlogloss:0.741301+0.015358 
## [89] train-mlogloss:0.039110+0.000373    test-mlogloss:0.743056+0.015178 
## [90] train-mlogloss:0.038683+0.000364    test-mlogloss:0.744393+0.015685 
## [91] train-mlogloss:0.038286+0.000381    test-mlogloss:0.745336+0.015232 
## [92] train-mlogloss:0.037907+0.000382    test-mlogloss:0.746373+0.015712 
## [93] train-mlogloss:0.037511+0.000361    test-mlogloss:0.747551+0.015612 
## [94] train-mlogloss:0.037133+0.000370    test-mlogloss:0.748251+0.015423 
## [95] train-mlogloss:0.036767+0.000374    test-mlogloss:0.749452+0.015510 
## [96] train-mlogloss:0.036408+0.000364    test-mlogloss:0.750722+0.015596 
## [97] train-mlogloss:0.036060+0.000351    test-mlogloss:0.751609+0.015595 
## [98] train-mlogloss:0.035700+0.000349    test-mlogloss:0.753080+0.016000 
## [99] train-mlogloss:0.035354+0.000337    test-mlogloss:0.754261+0.016113 
## [100]    train-mlogloss:0.035021+0.000335    test-mlogloss:0.755534+0.016610 
## [101]    train-mlogloss:0.034697+0.000317    test-mlogloss:0.757234+0.016559 
## [102]    train-mlogloss:0.034384+0.000308    test-mlogloss:0.758705+0.016733 
## [103]    train-mlogloss:0.034073+0.000292    test-mlogloss:0.760468+0.016628 
## [104]    train-mlogloss:0.033729+0.000288    test-mlogloss:0.761023+0.016987 
## [105]    train-mlogloss:0.033444+0.000283    test-mlogloss:0.761601+0.017445 
## [106]    train-mlogloss:0.033162+0.000293    test-mlogloss:0.762433+0.017928 
## [107]    train-mlogloss:0.032884+0.000290    test-mlogloss:0.763393+0.018161 
## [108]    train-mlogloss:0.032583+0.000280    test-mlogloss:0.764408+0.018418 
## [109]    train-mlogloss:0.032293+0.000266    test-mlogloss:0.765980+0.018392 
## [110]    train-mlogloss:0.032030+0.000263    test-mlogloss:0.766618+0.018620 
## [111]    train-mlogloss:0.031759+0.000267    test-mlogloss:0.767374+0.018611 
## [112]    train-mlogloss:0.031497+0.000277    test-mlogloss:0.768777+0.019260 
## [113]    train-mlogloss:0.031246+0.000273    test-mlogloss:0.769938+0.019452 
## [114]    train-mlogloss:0.030979+0.000277    test-mlogloss:0.770996+0.019675 
## [115]    train-mlogloss:0.030730+0.000271    test-mlogloss:0.771488+0.020242 
## [116]    train-mlogloss:0.030503+0.000261    test-mlogloss:0.772938+0.020639 
## [117]    train-mlogloss:0.030256+0.000252    test-mlogloss:0.773757+0.021056 
## [118]    train-mlogloss:0.030018+0.000235    test-mlogloss:0.774490+0.020733 
## [119]    train-mlogloss:0.029791+0.000220    test-mlogloss:0.775440+0.020947 
## [120]    train-mlogloss:0.029558+0.000217    test-mlogloss:0.776054+0.021089 
## [121]    train-mlogloss:0.029335+0.000224    test-mlogloss:0.776810+0.021163 
## [122]    train-mlogloss:0.029119+0.000212    test-mlogloss:0.777544+0.021244 
## [123]    train-mlogloss:0.028904+0.000202    test-mlogloss:0.778371+0.021210 
## [124]    train-mlogloss:0.028678+0.000189    test-mlogloss:0.779379+0.020816 
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## [126]    train-mlogloss:0.028243+0.000161    test-mlogloss:0.780709+0.020280 
## [127]    train-mlogloss:0.028052+0.000154    test-mlogloss:0.781670+0.020060 
## [128]    train-mlogloss:0.027864+0.000152    test-mlogloss:0.782424+0.019696 
## [129]    train-mlogloss:0.027665+0.000139    test-mlogloss:0.783553+0.019946 
## [130]    train-mlogloss:0.027473+0.000129    test-mlogloss:0.784112+0.019477 
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## [132]    train-mlogloss:0.027100+0.000130    test-mlogloss:0.786123+0.018931 
## [133]    train-mlogloss:0.026928+0.000122    test-mlogloss:0.787230+0.019332 
## [134]    train-mlogloss:0.026743+0.000126    test-mlogloss:0.787946+0.018913 
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## [400]    train-mlogloss:0.011154+0.000082    test-mlogloss:0.912037+0.028727 
## [401]    train-mlogloss:0.011136+0.000084    test-mlogloss:0.912465+0.029030 
## [402]    train-mlogloss:0.011118+0.000085    test-mlogloss:0.912715+0.028833 
## [403]    train-mlogloss:0.011100+0.000086    test-mlogloss:0.913032+0.028817 
## [404]    train-mlogloss:0.011080+0.000087    test-mlogloss:0.913203+0.028740 
## [405]    train-mlogloss:0.011062+0.000086    test-mlogloss:0.913399+0.028861 
## [406]    train-mlogloss:0.011042+0.000086    test-mlogloss:0.913302+0.028548 
## [407]    train-mlogloss:0.011021+0.000085    test-mlogloss:0.913623+0.028701 
## [408]    train-mlogloss:0.011001+0.000086    test-mlogloss:0.913396+0.028728 
## [409]    train-mlogloss:0.010982+0.000084    test-mlogloss:0.913698+0.028776 
## [410]    train-mlogloss:0.010964+0.000085    test-mlogloss:0.914597+0.029055 
## [411]    train-mlogloss:0.010941+0.000082    test-mlogloss:0.914921+0.028846 
## [412]    train-mlogloss:0.010923+0.000082    test-mlogloss:0.915401+0.029628 
## [413]    train-mlogloss:0.010904+0.000080    test-mlogloss:0.915678+0.029581 
## [414]    train-mlogloss:0.010886+0.000080    test-mlogloss:0.916183+0.029339 
## [415]    train-mlogloss:0.010868+0.000079    test-mlogloss:0.916243+0.029275 
## [416]    train-mlogloss:0.010850+0.000079    test-mlogloss:0.916217+0.029227 
## [417]    train-mlogloss:0.010830+0.000078    test-mlogloss:0.916178+0.029679 
## [418]    train-mlogloss:0.010812+0.000079    test-mlogloss:0.916267+0.029981 
## [419]    train-mlogloss:0.010794+0.000076    test-mlogloss:0.916514+0.029792 
## [420]    train-mlogloss:0.010777+0.000076    test-mlogloss:0.916728+0.029978 
## [421]    train-mlogloss:0.010756+0.000076    test-mlogloss:0.916653+0.030279 
## [422]    train-mlogloss:0.010737+0.000074    test-mlogloss:0.917196+0.030363 
## [423]    train-mlogloss:0.010719+0.000073    test-mlogloss:0.917705+0.030264 
## [424]    train-mlogloss:0.010705+0.000072    test-mlogloss:0.917848+0.030228 
## [425]    train-mlogloss:0.010685+0.000071    test-mlogloss:0.917576+0.030115 
## [426]    train-mlogloss:0.010667+0.000071    test-mlogloss:0.917720+0.030023 
## [427]    train-mlogloss:0.010651+0.000069    test-mlogloss:0.918184+0.030188 
## [428]    train-mlogloss:0.010633+0.000070    test-mlogloss:0.918278+0.029868 
## [429]    train-mlogloss:0.010618+0.000068    test-mlogloss:0.918834+0.029900 
## [430]    train-mlogloss:0.010602+0.000067    test-mlogloss:0.919105+0.030113 
## [431]    train-mlogloss:0.010586+0.000067    test-mlogloss:0.919551+0.030508 
## [432]    train-mlogloss:0.010567+0.000065    test-mlogloss:0.919701+0.030191 
## [433]    train-mlogloss:0.010550+0.000065    test-mlogloss:0.920044+0.030463 
## [434]    train-mlogloss:0.010533+0.000065    test-mlogloss:0.920133+0.030407 
## [435]    train-mlogloss:0.010517+0.000065    test-mlogloss:0.920438+0.030472 
## [436]    train-mlogloss:0.010500+0.000064    test-mlogloss:0.920691+0.030441 
## [437]    train-mlogloss:0.010484+0.000066    test-mlogloss:0.920855+0.030462 
## [438]    train-mlogloss:0.010464+0.000068    test-mlogloss:0.920858+0.030459 
## [439]    train-mlogloss:0.010449+0.000064    test-mlogloss:0.920895+0.031007 
## [440]    train-mlogloss:0.010431+0.000068    test-mlogloss:0.921205+0.030944 
## [441]    train-mlogloss:0.010415+0.000066    test-mlogloss:0.921553+0.030882 
## [442]    train-mlogloss:0.010400+0.000066    test-mlogloss:0.921343+0.031151 
## [443]    train-mlogloss:0.010385+0.000066    test-mlogloss:0.921733+0.030842 
## [444]    train-mlogloss:0.010367+0.000067    test-mlogloss:0.922206+0.030543 
## [445]    train-mlogloss:0.010351+0.000067    test-mlogloss:0.922099+0.030614 
## [446]    train-mlogloss:0.010334+0.000067    test-mlogloss:0.922522+0.030465 
## [447]    train-mlogloss:0.010319+0.000066    test-mlogloss:0.922638+0.030365 
## [448]    train-mlogloss:0.010304+0.000066    test-mlogloss:0.922965+0.030649 
## [449]    train-mlogloss:0.010288+0.000066    test-mlogloss:0.923145+0.030786 
## [450]    train-mlogloss:0.010273+0.000064    test-mlogloss:0.923623+0.031094 
## [451]    train-mlogloss:0.010256+0.000064    test-mlogloss:0.923812+0.030830 
## [452]    train-mlogloss:0.010238+0.000064    test-mlogloss:0.924074+0.030833 
## [453]    train-mlogloss:0.010222+0.000064    test-mlogloss:0.924459+0.030936 
## [454]    train-mlogloss:0.010206+0.000061    test-mlogloss:0.924727+0.030791 
## [455]    train-mlogloss:0.010189+0.000060    test-mlogloss:0.925204+0.030465 
## [456]    train-mlogloss:0.010175+0.000061    test-mlogloss:0.925035+0.030685 
## [457]    train-mlogloss:0.010159+0.000060    test-mlogloss:0.925386+0.030353 
## [458]    train-mlogloss:0.010146+0.000060    test-mlogloss:0.925664+0.030243 
## [459]    train-mlogloss:0.010131+0.000060    test-mlogloss:0.926227+0.030244 
## [460]    train-mlogloss:0.010115+0.000061    test-mlogloss:0.926144+0.030238 
## [461]    train-mlogloss:0.010101+0.000061    test-mlogloss:0.926622+0.030278 
## [462]    train-mlogloss:0.010086+0.000062    test-mlogloss:0.927060+0.030042 
## [463]    train-mlogloss:0.010070+0.000063    test-mlogloss:0.927099+0.030025 
## [464]    train-mlogloss:0.010054+0.000064    test-mlogloss:0.927075+0.029908 
## [465]    train-mlogloss:0.010039+0.000064    test-mlogloss:0.927277+0.029946 
## [466]    train-mlogloss:0.010024+0.000066    test-mlogloss:0.927386+0.030135 
## [467]    train-mlogloss:0.010008+0.000065    test-mlogloss:0.927607+0.030068 
## [468]    train-mlogloss:0.009992+0.000064    test-mlogloss:0.927849+0.029966 
## [469]    train-mlogloss:0.009978+0.000063    test-mlogloss:0.927844+0.029888 
## [470]    train-mlogloss:0.009963+0.000060    test-mlogloss:0.928512+0.029974 
## [471]    train-mlogloss:0.009948+0.000062    test-mlogloss:0.928748+0.030253 
## [472]    train-mlogloss:0.009933+0.000062    test-mlogloss:0.928883+0.030045 
## [473]    train-mlogloss:0.009918+0.000062    test-mlogloss:0.929036+0.030288 
## [474]    train-mlogloss:0.009904+0.000062    test-mlogloss:0.928940+0.030456 
## [475]    train-mlogloss:0.009889+0.000062    test-mlogloss:0.929175+0.030325 
## [476]    train-mlogloss:0.009876+0.000060    test-mlogloss:0.929453+0.030303 
## [477]    train-mlogloss:0.009861+0.000058    test-mlogloss:0.929741+0.030636 
## [478]    train-mlogloss:0.009847+0.000058    test-mlogloss:0.930269+0.030718 
## [479]    train-mlogloss:0.009833+0.000057    test-mlogloss:0.930355+0.030527 
## [480]    train-mlogloss:0.009820+0.000057    test-mlogloss:0.930399+0.030433 
## [481]    train-mlogloss:0.009806+0.000057    test-mlogloss:0.930653+0.030298 
## [482]    train-mlogloss:0.009791+0.000056    test-mlogloss:0.930477+0.030025 
## [483]    train-mlogloss:0.009777+0.000057    test-mlogloss:0.930729+0.030585 
## [484]    train-mlogloss:0.009763+0.000056    test-mlogloss:0.931122+0.030246 
## [485]    train-mlogloss:0.009751+0.000055    test-mlogloss:0.931640+0.030588 
## [486]    train-mlogloss:0.009737+0.000054    test-mlogloss:0.931505+0.030439 
## [487]    train-mlogloss:0.009723+0.000053    test-mlogloss:0.931468+0.030274 
## [488]    train-mlogloss:0.009710+0.000054    test-mlogloss:0.931437+0.030143 
## [489]    train-mlogloss:0.009700+0.000054    test-mlogloss:0.931713+0.030025 
## [490]    train-mlogloss:0.009686+0.000054    test-mlogloss:0.932046+0.029929 
## [491]    train-mlogloss:0.009673+0.000055    test-mlogloss:0.932530+0.030142 
## [492]    train-mlogloss:0.009660+0.000057    test-mlogloss:0.932417+0.030149 
## [493]    train-mlogloss:0.009647+0.000056    test-mlogloss:0.933000+0.030282 
## [494]    train-mlogloss:0.009635+0.000055    test-mlogloss:0.933113+0.030325 
## [495]    train-mlogloss:0.009620+0.000055    test-mlogloss:0.933699+0.030090 
## [496]    train-mlogloss:0.009608+0.000054    test-mlogloss:0.933850+0.030132 
## [497]    train-mlogloss:0.009596+0.000055    test-mlogloss:0.934106+0.029907 
## [498]    train-mlogloss:0.009581+0.000054    test-mlogloss:0.934233+0.030324 
## [499]    train-mlogloss:0.009569+0.000055    test-mlogloss:0.934353+0.030707 
## [500]    train-mlogloss:0.009555+0.000054    test-mlogloss:0.934577+0.030776 
## [1]  train-mlogloss:0.540252+0.001759    test-mlogloss:0.557047+0.003739 
## [2]  train-mlogloss:0.510650+0.002366    test-mlogloss:0.541708+0.006775 
## [3]  train-mlogloss:0.499326+0.002189    test-mlogloss:0.540927+0.007739 
## [4]  train-mlogloss:0.490408+0.003784    test-mlogloss:0.545166+0.009035 
## [5]  train-mlogloss:0.482046+0.003412    test-mlogloss:0.548162+0.010534 
## [6]  train-mlogloss:0.474756+0.003055    test-mlogloss:0.553345+0.012627 
## [7]  train-mlogloss:0.467634+0.002840    test-mlogloss:0.557444+0.012892 
## [8]  train-mlogloss:0.461121+0.003313    test-mlogloss:0.561777+0.013523 
## [9]  train-mlogloss:0.455038+0.003407    test-mlogloss:0.565209+0.014175 
## [10] train-mlogloss:0.448106+0.003695    test-mlogloss:0.570301+0.015948 
## [11] train-mlogloss:0.441576+0.005645    test-mlogloss:0.573219+0.016514 
## [12] train-mlogloss:0.435824+0.005984    test-mlogloss:0.575470+0.014934 
## [13] train-mlogloss:0.429728+0.006705    test-mlogloss:0.577113+0.016601 
## [14] train-mlogloss:0.423249+0.006691    test-mlogloss:0.577964+0.016619 
## [15] train-mlogloss:0.417238+0.006075    test-mlogloss:0.583091+0.016585 
## [16] train-mlogloss:0.410642+0.005964    test-mlogloss:0.586442+0.017514 
## [17] train-mlogloss:0.404873+0.006217    test-mlogloss:0.590167+0.017918 
## [18] train-mlogloss:0.398797+0.005979    test-mlogloss:0.593587+0.020554 
## [19] train-mlogloss:0.392849+0.006287    test-mlogloss:0.596151+0.021004 
## [20] train-mlogloss:0.388109+0.006822    test-mlogloss:0.597003+0.021706 
## [21] train-mlogloss:0.382934+0.007136    test-mlogloss:0.601603+0.023159 
## [22] train-mlogloss:0.377518+0.008114    test-mlogloss:0.605114+0.022297 
## [23] train-mlogloss:0.372804+0.007494    test-mlogloss:0.607562+0.021478 
## [24] train-mlogloss:0.367975+0.007930    test-mlogloss:0.610396+0.022753 
## [25] train-mlogloss:0.363420+0.007168    test-mlogloss:0.613262+0.022891 
## [26] train-mlogloss:0.358211+0.007080    test-mlogloss:0.616220+0.022328 
## [27] train-mlogloss:0.353253+0.007800    test-mlogloss:0.618507+0.023069 
## [28] train-mlogloss:0.348771+0.007805    test-mlogloss:0.621014+0.023425 
## [29] train-mlogloss:0.343958+0.007620    test-mlogloss:0.622435+0.024355 
## [30] train-mlogloss:0.340048+0.006412    test-mlogloss:0.625056+0.024486 
## [31] train-mlogloss:0.336174+0.006089    test-mlogloss:0.628259+0.025536 
## [32] train-mlogloss:0.332449+0.006438    test-mlogloss:0.630099+0.025886 
## [33] train-mlogloss:0.327877+0.006480    test-mlogloss:0.632321+0.027541 
## [34] train-mlogloss:0.323064+0.006166    test-mlogloss:0.636576+0.028272 
## [35] train-mlogloss:0.318836+0.006309    test-mlogloss:0.640561+0.029672 
## [36] train-mlogloss:0.314339+0.005952    test-mlogloss:0.644205+0.029240 
## [37] train-mlogloss:0.310238+0.006049    test-mlogloss:0.648344+0.029126 
## [38] train-mlogloss:0.305992+0.005289    test-mlogloss:0.652023+0.029301 
## [39] train-mlogloss:0.301533+0.005355    test-mlogloss:0.654855+0.030553 
## [40] train-mlogloss:0.297558+0.005306    test-mlogloss:0.657150+0.029478 
## [41] train-mlogloss:0.293868+0.004986    test-mlogloss:0.660535+0.030760 
## [42] train-mlogloss:0.290596+0.005318    test-mlogloss:0.663274+0.029862 
## [43] train-mlogloss:0.286803+0.005333    test-mlogloss:0.665755+0.030331 
## [44] train-mlogloss:0.282828+0.004594    test-mlogloss:0.668585+0.029065 
## [45] train-mlogloss:0.279315+0.004614    test-mlogloss:0.670406+0.030658 
## [46] train-mlogloss:0.275429+0.005516    test-mlogloss:0.673745+0.031162 
## [47] train-mlogloss:0.271666+0.005718    test-mlogloss:0.676789+0.031655 
## [48] train-mlogloss:0.267993+0.005511    test-mlogloss:0.679190+0.033325 
## [49] train-mlogloss:0.264562+0.005970    test-mlogloss:0.682366+0.034173 
## [50] train-mlogloss:0.260323+0.006092    test-mlogloss:0.683626+0.033126 
## [51] train-mlogloss:0.256628+0.005997    test-mlogloss:0.687818+0.034528 
## [52] train-mlogloss:0.253902+0.006318    test-mlogloss:0.691642+0.034292 
## [53] train-mlogloss:0.250343+0.006100    test-mlogloss:0.695116+0.033850 
## [54] train-mlogloss:0.246915+0.006718    test-mlogloss:0.694909+0.035459 
## [55] train-mlogloss:0.244102+0.006662    test-mlogloss:0.696039+0.035474 
## [56] train-mlogloss:0.240679+0.006902    test-mlogloss:0.698200+0.035673 
## [57] train-mlogloss:0.237555+0.006662    test-mlogloss:0.700090+0.035674 
## [58] train-mlogloss:0.234605+0.006650    test-mlogloss:0.702258+0.037101 
## [59] train-mlogloss:0.231091+0.006600    test-mlogloss:0.705244+0.038914 
## [60] train-mlogloss:0.228656+0.007054    test-mlogloss:0.707902+0.039012 
## [61] train-mlogloss:0.225756+0.006816    test-mlogloss:0.710048+0.038679 
## [62] train-mlogloss:0.223502+0.006452    test-mlogloss:0.712356+0.038453 
## [63] train-mlogloss:0.221158+0.006865    test-mlogloss:0.713809+0.037741 
## [64] train-mlogloss:0.218485+0.006348    test-mlogloss:0.715270+0.038875 
## [65] train-mlogloss:0.215994+0.006635    test-mlogloss:0.718447+0.039132 
## [66] train-mlogloss:0.213312+0.006203    test-mlogloss:0.719488+0.041087 
## [67] train-mlogloss:0.210874+0.006197    test-mlogloss:0.720213+0.041158 
## [68] train-mlogloss:0.207978+0.006562    test-mlogloss:0.722800+0.042564 
## [69] train-mlogloss:0.205382+0.006164    test-mlogloss:0.725433+0.041190 
## [70] train-mlogloss:0.203171+0.006234    test-mlogloss:0.725687+0.039487 
## [71] train-mlogloss:0.200899+0.006726    test-mlogloss:0.728312+0.040369 
## [72] train-mlogloss:0.198862+0.006476    test-mlogloss:0.730314+0.039945 
## [73] train-mlogloss:0.196229+0.006699    test-mlogloss:0.733204+0.039858 
## [74] train-mlogloss:0.194103+0.006795    test-mlogloss:0.735910+0.039518 
## [75] train-mlogloss:0.191999+0.006939    test-mlogloss:0.738628+0.041433 
## [76] train-mlogloss:0.188574+0.006324    test-mlogloss:0.739791+0.039641 
## [77] train-mlogloss:0.186407+0.006493    test-mlogloss:0.741765+0.039272 
## [78] train-mlogloss:0.184144+0.006351    test-mlogloss:0.743121+0.038715 
## [79] train-mlogloss:0.181865+0.006391    test-mlogloss:0.745939+0.038671 
## [80] train-mlogloss:0.179611+0.006337    test-mlogloss:0.747500+0.039200 
## [81] train-mlogloss:0.177453+0.006504    test-mlogloss:0.749577+0.039765 
## [82] train-mlogloss:0.175101+0.006672    test-mlogloss:0.752010+0.040694 
## [83] train-mlogloss:0.172870+0.006953    test-mlogloss:0.753377+0.041725 
## [84] train-mlogloss:0.170568+0.006935    test-mlogloss:0.756092+0.042081 
## [85] train-mlogloss:0.168611+0.006862    test-mlogloss:0.758155+0.042486 
## [86] train-mlogloss:0.166869+0.006932    test-mlogloss:0.762676+0.041642 
## [87] train-mlogloss:0.164694+0.007247    test-mlogloss:0.762995+0.043509 
## [88] train-mlogloss:0.162519+0.007069    test-mlogloss:0.764461+0.045980 
## [89] train-mlogloss:0.160704+0.007018    test-mlogloss:0.765700+0.046191 
## [90] train-mlogloss:0.158977+0.006917    test-mlogloss:0.769253+0.044466 
## [91] train-mlogloss:0.157212+0.006837    test-mlogloss:0.771301+0.044091 
## [92] train-mlogloss:0.155647+0.006828    test-mlogloss:0.773564+0.045078 
## [93] train-mlogloss:0.154016+0.006419    test-mlogloss:0.776739+0.043280 
## [94] train-mlogloss:0.151858+0.006545    test-mlogloss:0.778663+0.043024 
## [95] train-mlogloss:0.149923+0.006691    test-mlogloss:0.781777+0.043615 
## [96] train-mlogloss:0.147689+0.006428    test-mlogloss:0.785062+0.041054 
## [97] train-mlogloss:0.145887+0.006367    test-mlogloss:0.786408+0.041576 
## [98] train-mlogloss:0.144334+0.006358    test-mlogloss:0.788174+0.041957 
## [99] train-mlogloss:0.142744+0.006383    test-mlogloss:0.790852+0.040647 
## [100]    train-mlogloss:0.140759+0.006291    test-mlogloss:0.792666+0.042182 
## [101]    train-mlogloss:0.139067+0.005812    test-mlogloss:0.797215+0.041553 
## [102]    train-mlogloss:0.137515+0.005732    test-mlogloss:0.798120+0.041335 
## [103]    train-mlogloss:0.135882+0.005898    test-mlogloss:0.801214+0.040933 
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## [500]    train-mlogloss:0.011720+0.000204    test-mlogloss:1.182693+0.065121 
## [1]  train-mlogloss:0.468855+0.003734    test-mlogloss:0.584108+0.007857 
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## [9]  train-mlogloss:0.155498+0.004482    test-mlogloss:0.700718+0.011490 
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## [11] train-mlogloss:0.128129+0.003739    test-mlogloss:0.722543+0.015802 
## [12] train-mlogloss:0.117699+0.003329    test-mlogloss:0.731194+0.017530 
## [13] train-mlogloss:0.108431+0.003189    test-mlogloss:0.741397+0.014734 
## [14] train-mlogloss:0.100825+0.002742    test-mlogloss:0.746937+0.015997 
## [15] train-mlogloss:0.093854+0.002388    test-mlogloss:0.754740+0.016003 
## [16] train-mlogloss:0.087804+0.001960    test-mlogloss:0.760630+0.017009 
## [17] train-mlogloss:0.082235+0.002023    test-mlogloss:0.767691+0.015085 
## [18] train-mlogloss:0.077333+0.002026    test-mlogloss:0.770987+0.014737 
## [19] train-mlogloss:0.072980+0.002053    test-mlogloss:0.778288+0.017016 
## [20] train-mlogloss:0.068848+0.001743    test-mlogloss:0.785268+0.016966 
## [21] train-mlogloss:0.065237+0.001350    test-mlogloss:0.789553+0.017770 
## [22] train-mlogloss:0.062189+0.001264    test-mlogloss:0.794549+0.018330 
## [23] train-mlogloss:0.059552+0.001182    test-mlogloss:0.800950+0.018454 
## [24] train-mlogloss:0.056947+0.000961    test-mlogloss:0.807033+0.017912 
## [25] train-mlogloss:0.054634+0.000939    test-mlogloss:0.811365+0.018536 
## [26] train-mlogloss:0.052369+0.000950    test-mlogloss:0.814959+0.018807 
## [27] train-mlogloss:0.050219+0.000820    test-mlogloss:0.818673+0.020402 
## [28] train-mlogloss:0.048287+0.000795    test-mlogloss:0.821353+0.020369 
## [29] train-mlogloss:0.046619+0.000647    test-mlogloss:0.823639+0.021090 
## [30] train-mlogloss:0.044927+0.000593    test-mlogloss:0.827505+0.021990 
## [31] train-mlogloss:0.043399+0.000590    test-mlogloss:0.831688+0.022963 
## [32] train-mlogloss:0.041977+0.000611    test-mlogloss:0.835983+0.024716 
## [33] train-mlogloss:0.040717+0.000611    test-mlogloss:0.839402+0.024440 
## [34] train-mlogloss:0.039505+0.000534    test-mlogloss:0.843740+0.024271 
## [35] train-mlogloss:0.038333+0.000550    test-mlogloss:0.846744+0.024137 
## [36] train-mlogloss:0.037311+0.000520    test-mlogloss:0.849479+0.024321 
## [37] train-mlogloss:0.036226+0.000466    test-mlogloss:0.853928+0.024253 
## [38] train-mlogloss:0.035296+0.000442    test-mlogloss:0.857261+0.024333 
## [39] train-mlogloss:0.034379+0.000429    test-mlogloss:0.859547+0.023236 
## [40] train-mlogloss:0.033520+0.000401    test-mlogloss:0.862892+0.020951 
## [41] train-mlogloss:0.032685+0.000355    test-mlogloss:0.868220+0.022005 
## [42] train-mlogloss:0.031891+0.000314    test-mlogloss:0.871561+0.021619 
## [43] train-mlogloss:0.031220+0.000274    test-mlogloss:0.872873+0.021081 
## [44] train-mlogloss:0.030482+0.000277    test-mlogloss:0.875128+0.022367 
## [45] train-mlogloss:0.029879+0.000247    test-mlogloss:0.876531+0.024441 
## [46] train-mlogloss:0.029259+0.000238    test-mlogloss:0.878530+0.025234 
## [47] train-mlogloss:0.028649+0.000242    test-mlogloss:0.882074+0.025265 
## [48] train-mlogloss:0.028084+0.000208    test-mlogloss:0.886179+0.025494 
## [49] train-mlogloss:0.027555+0.000246    test-mlogloss:0.889799+0.024966 
## [50] train-mlogloss:0.027065+0.000231    test-mlogloss:0.891963+0.025041 
## [51] train-mlogloss:0.026545+0.000216    test-mlogloss:0.893703+0.023439 
## [52] train-mlogloss:0.026051+0.000239    test-mlogloss:0.896873+0.024193 
## [53] train-mlogloss:0.025621+0.000254    test-mlogloss:0.898577+0.025411 
## [54] train-mlogloss:0.025193+0.000267    test-mlogloss:0.900940+0.025814 
## [55] train-mlogloss:0.024758+0.000263    test-mlogloss:0.903725+0.025733 
## [56] train-mlogloss:0.024342+0.000278    test-mlogloss:0.904836+0.026932 
## [57] train-mlogloss:0.023948+0.000249    test-mlogloss:0.905872+0.027051 
## [58] train-mlogloss:0.023583+0.000252    test-mlogloss:0.908045+0.028263 
## [59] train-mlogloss:0.023249+0.000239    test-mlogloss:0.909472+0.028013 
## [60] train-mlogloss:0.022894+0.000221    test-mlogloss:0.911683+0.029299 
## [61] train-mlogloss:0.022546+0.000196    test-mlogloss:0.913333+0.028390 
## [62] train-mlogloss:0.022245+0.000189    test-mlogloss:0.916573+0.028163 
## [63] train-mlogloss:0.021927+0.000216    test-mlogloss:0.918038+0.028876 
## [64] train-mlogloss:0.021650+0.000216    test-mlogloss:0.920170+0.029194 
## [65] train-mlogloss:0.021367+0.000231    test-mlogloss:0.920620+0.031019 
## [66] train-mlogloss:0.021078+0.000239    test-mlogloss:0.922389+0.031673 
## [67] train-mlogloss:0.020805+0.000219    test-mlogloss:0.923949+0.033723 
## [68] train-mlogloss:0.020525+0.000223    test-mlogloss:0.926687+0.033626 
## [69] train-mlogloss:0.020259+0.000236    test-mlogloss:0.929233+0.033048 
## [70] train-mlogloss:0.020017+0.000222    test-mlogloss:0.930482+0.033800 
## [71] train-mlogloss:0.019788+0.000227    test-mlogloss:0.932160+0.032642 
## [72] train-mlogloss:0.019542+0.000203    test-mlogloss:0.932080+0.033071 
## [73] train-mlogloss:0.019320+0.000202    test-mlogloss:0.933798+0.032478 
## [74] train-mlogloss:0.019095+0.000208    test-mlogloss:0.935236+0.033027 
## [75] train-mlogloss:0.018878+0.000211    test-mlogloss:0.936205+0.031459 
## [76] train-mlogloss:0.018673+0.000218    test-mlogloss:0.938617+0.030975 
## [77] train-mlogloss:0.018484+0.000206    test-mlogloss:0.939783+0.032029 
## [78] train-mlogloss:0.018293+0.000224    test-mlogloss:0.940250+0.030225 
## [79] train-mlogloss:0.018096+0.000217    test-mlogloss:0.942751+0.030637 
## [80] train-mlogloss:0.017899+0.000187    test-mlogloss:0.943556+0.029668 
## [81] train-mlogloss:0.017731+0.000179    test-mlogloss:0.945024+0.030684 
## [82] train-mlogloss:0.017556+0.000176    test-mlogloss:0.947124+0.030555 
## [83] train-mlogloss:0.017401+0.000162    test-mlogloss:0.949146+0.030145 
## [84] train-mlogloss:0.017206+0.000170    test-mlogloss:0.949225+0.030042 
## [85] train-mlogloss:0.017044+0.000146    test-mlogloss:0.950563+0.028696 
## [86] train-mlogloss:0.016885+0.000153    test-mlogloss:0.951869+0.029679 
## [87] train-mlogloss:0.016745+0.000149    test-mlogloss:0.952483+0.029063 
## [88] train-mlogloss:0.016595+0.000138    test-mlogloss:0.953578+0.029980 
## [89] train-mlogloss:0.016457+0.000126    test-mlogloss:0.954921+0.031085 
## [90] train-mlogloss:0.016314+0.000117    test-mlogloss:0.954947+0.030612 
## [91] train-mlogloss:0.016156+0.000108    test-mlogloss:0.955511+0.030957 
## [92] train-mlogloss:0.016023+0.000099    test-mlogloss:0.957266+0.030881 
## [93] train-mlogloss:0.015881+0.000092    test-mlogloss:0.958810+0.031083 
## [94] train-mlogloss:0.015753+0.000096    test-mlogloss:0.959597+0.029323 
## [95] train-mlogloss:0.015625+0.000105    test-mlogloss:0.960889+0.028989 
## [96] train-mlogloss:0.015492+0.000110    test-mlogloss:0.962787+0.029126 
## [97] train-mlogloss:0.015374+0.000116    test-mlogloss:0.964264+0.028295 
## [98] train-mlogloss:0.015248+0.000114    test-mlogloss:0.965171+0.027531 
## [99] train-mlogloss:0.015119+0.000120    test-mlogloss:0.965417+0.029002 
## [100]    train-mlogloss:0.015006+0.000129    test-mlogloss:0.967581+0.028697 
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## [103]    train-mlogloss:0.014667+0.000104    test-mlogloss:0.971061+0.028655 
## [104]    train-mlogloss:0.014563+0.000100    test-mlogloss:0.971528+0.029091 
## [105]    train-mlogloss:0.014460+0.000101    test-mlogloss:0.972473+0.029739 
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## [427]    train-mlogloss:0.005591+0.000049    test-mlogloss:1.124616+0.037067 
## [428]    train-mlogloss:0.005585+0.000050    test-mlogloss:1.125315+0.037060 
## [429]    train-mlogloss:0.005576+0.000050    test-mlogloss:1.125005+0.036524 
## [430]    train-mlogloss:0.005569+0.000052    test-mlogloss:1.125166+0.036107 
## [431]    train-mlogloss:0.005558+0.000051    test-mlogloss:1.125445+0.035979 
## [432]    train-mlogloss:0.005551+0.000050    test-mlogloss:1.125652+0.035757 
## [433]    train-mlogloss:0.005545+0.000051    test-mlogloss:1.126306+0.035229 
## [434]    train-mlogloss:0.005538+0.000048    test-mlogloss:1.126474+0.035731 
## [435]    train-mlogloss:0.005529+0.000051    test-mlogloss:1.127018+0.035198 
## [436]    train-mlogloss:0.005521+0.000052    test-mlogloss:1.126289+0.035300 
## [437]    train-mlogloss:0.005515+0.000051    test-mlogloss:1.127944+0.035359 
## [438]    train-mlogloss:0.005506+0.000050    test-mlogloss:1.127547+0.034918 
## [439]    train-mlogloss:0.005497+0.000048    test-mlogloss:1.128301+0.035004 
## [440]    train-mlogloss:0.005491+0.000049    test-mlogloss:1.128765+0.035266 
## [441]    train-mlogloss:0.005487+0.000049    test-mlogloss:1.129596+0.035521 
## [442]    train-mlogloss:0.005479+0.000047    test-mlogloss:1.129698+0.035303 
## [443]    train-mlogloss:0.005473+0.000045    test-mlogloss:1.129577+0.035074 
## [444]    train-mlogloss:0.005468+0.000045    test-mlogloss:1.129735+0.035667 
## [445]    train-mlogloss:0.005462+0.000045    test-mlogloss:1.129851+0.036598 
## [446]    train-mlogloss:0.005454+0.000045    test-mlogloss:1.129664+0.036795 
## [447]    train-mlogloss:0.005449+0.000044    test-mlogloss:1.129503+0.036952 
## [448]    train-mlogloss:0.005443+0.000043    test-mlogloss:1.129408+0.036891 
## [449]    train-mlogloss:0.005436+0.000040    test-mlogloss:1.129615+0.036296 
## [450]    train-mlogloss:0.005430+0.000040    test-mlogloss:1.129548+0.037217 
## [451]    train-mlogloss:0.005424+0.000040    test-mlogloss:1.130162+0.036575 
## [452]    train-mlogloss:0.005418+0.000037    test-mlogloss:1.130304+0.036630 
## [453]    train-mlogloss:0.005412+0.000037    test-mlogloss:1.131185+0.037081 
## [454]    train-mlogloss:0.005405+0.000038    test-mlogloss:1.130858+0.036899 
## [455]    train-mlogloss:0.005399+0.000038    test-mlogloss:1.131615+0.036554 
## [456]    train-mlogloss:0.005393+0.000037    test-mlogloss:1.132088+0.036747 
## [457]    train-mlogloss:0.005386+0.000037    test-mlogloss:1.132338+0.035643 
## [458]    train-mlogloss:0.005378+0.000035    test-mlogloss:1.133475+0.035643 
## [459]    train-mlogloss:0.005371+0.000032    test-mlogloss:1.133076+0.037003 
## [460]    train-mlogloss:0.005365+0.000033    test-mlogloss:1.132818+0.036661 
## [461]    train-mlogloss:0.005358+0.000033    test-mlogloss:1.132830+0.036882 
## [462]    train-mlogloss:0.005352+0.000035    test-mlogloss:1.132620+0.037122 
## [463]    train-mlogloss:0.005348+0.000033    test-mlogloss:1.132314+0.037598 
## [464]    train-mlogloss:0.005339+0.000034    test-mlogloss:1.132864+0.037139 
## [465]    train-mlogloss:0.005333+0.000033    test-mlogloss:1.133392+0.037317 
## [466]    train-mlogloss:0.005327+0.000035    test-mlogloss:1.133789+0.036754 
## [467]    train-mlogloss:0.005321+0.000035    test-mlogloss:1.134435+0.037345 
## [468]    train-mlogloss:0.005315+0.000034    test-mlogloss:1.134305+0.037516 
## [469]    train-mlogloss:0.005309+0.000034    test-mlogloss:1.135129+0.036851 
## [470]    train-mlogloss:0.005304+0.000036    test-mlogloss:1.135619+0.036253 
## [471]    train-mlogloss:0.005299+0.000035    test-mlogloss:1.135742+0.036613 
## [472]    train-mlogloss:0.005295+0.000036    test-mlogloss:1.135543+0.036998 
## [473]    train-mlogloss:0.005288+0.000035    test-mlogloss:1.136614+0.036046 
## [474]    train-mlogloss:0.005284+0.000034    test-mlogloss:1.135492+0.036962 
## [475]    train-mlogloss:0.005278+0.000032    test-mlogloss:1.136225+0.037353 
## [476]    train-mlogloss:0.005271+0.000032    test-mlogloss:1.136721+0.036963 
## [477]    train-mlogloss:0.005263+0.000032    test-mlogloss:1.135867+0.036327 
## [478]    train-mlogloss:0.005257+0.000032    test-mlogloss:1.136319+0.036683 
## [479]    train-mlogloss:0.005250+0.000035    test-mlogloss:1.136390+0.036942 
## [480]    train-mlogloss:0.005243+0.000036    test-mlogloss:1.137147+0.037076 
## [481]    train-mlogloss:0.005236+0.000037    test-mlogloss:1.137378+0.037320 
## [482]    train-mlogloss:0.005231+0.000036    test-mlogloss:1.136978+0.036973 
## [483]    train-mlogloss:0.005222+0.000036    test-mlogloss:1.137395+0.037399 
## [484]    train-mlogloss:0.005218+0.000037    test-mlogloss:1.137122+0.036678 
## [485]    train-mlogloss:0.005212+0.000033    test-mlogloss:1.136819+0.036575 
## [486]    train-mlogloss:0.005204+0.000034    test-mlogloss:1.138305+0.037496 
## [487]    train-mlogloss:0.005200+0.000036    test-mlogloss:1.138678+0.038115 
## [488]    train-mlogloss:0.005195+0.000035    test-mlogloss:1.139199+0.038183 
## [489]    train-mlogloss:0.005186+0.000035    test-mlogloss:1.138632+0.037442 
## [490]    train-mlogloss:0.005181+0.000036    test-mlogloss:1.138889+0.037082 
## [491]    train-mlogloss:0.005174+0.000035    test-mlogloss:1.139663+0.037407 
## [492]    train-mlogloss:0.005170+0.000036    test-mlogloss:1.139908+0.037724 
## [493]    train-mlogloss:0.005164+0.000038    test-mlogloss:1.139913+0.036679 
## [494]    train-mlogloss:0.005160+0.000038    test-mlogloss:1.139833+0.037856 
## [495]    train-mlogloss:0.005153+0.000036    test-mlogloss:1.139642+0.037528 
## [496]    train-mlogloss:0.005147+0.000035    test-mlogloss:1.139343+0.037809 
## [497]    train-mlogloss:0.005142+0.000036    test-mlogloss:1.139759+0.037705 
## [498]    train-mlogloss:0.005135+0.000034    test-mlogloss:1.139837+0.038257 
## [499]    train-mlogloss:0.005131+0.000037    test-mlogloss:1.140416+0.038290 
## [500]    train-mlogloss:0.005126+0.000037    test-mlogloss:1.140066+0.038400 
## [1]  train-mlogloss:0.525928+0.002275    test-mlogloss:0.546329+0.006004 
## [2]  train-mlogloss:0.506280+0.002228    test-mlogloss:0.543220+0.007224 
## [3]  train-mlogloss:0.496457+0.003014    test-mlogloss:0.545350+0.008071 
## [4]  train-mlogloss:0.488887+0.003913    test-mlogloss:0.553129+0.011371 
## [5]  train-mlogloss:0.479982+0.004314    test-mlogloss:0.558611+0.011448 
## [6]  train-mlogloss:0.470151+0.004728    test-mlogloss:0.564763+0.011263 
## [7]  train-mlogloss:0.462224+0.004390    test-mlogloss:0.571038+0.009433 
## [8]  train-mlogloss:0.456290+0.004807    test-mlogloss:0.577180+0.008104 
## [9]  train-mlogloss:0.447961+0.005509    test-mlogloss:0.583126+0.007400 
## [10] train-mlogloss:0.440543+0.004148    test-mlogloss:0.587706+0.010375 
## [11] train-mlogloss:0.432588+0.003452    test-mlogloss:0.591502+0.011790 
## [12] train-mlogloss:0.425971+0.002618    test-mlogloss:0.596954+0.013701 
## [13] train-mlogloss:0.419597+0.003077    test-mlogloss:0.600029+0.014504 
## [14] train-mlogloss:0.412367+0.003471    test-mlogloss:0.605087+0.013073 
## [15] train-mlogloss:0.406335+0.004758    test-mlogloss:0.609349+0.010821 
## [16] train-mlogloss:0.399122+0.004295    test-mlogloss:0.612177+0.009253 
## [17] train-mlogloss:0.393690+0.004446    test-mlogloss:0.616890+0.008549 
## [18] train-mlogloss:0.389079+0.004790    test-mlogloss:0.623563+0.008218 
## [19] train-mlogloss:0.383811+0.004761    test-mlogloss:0.623251+0.008082 
## [20] train-mlogloss:0.376932+0.004559    test-mlogloss:0.629469+0.007837 
## [21] train-mlogloss:0.370968+0.004644    test-mlogloss:0.632723+0.006495 
## [22] train-mlogloss:0.364239+0.004180    test-mlogloss:0.636468+0.004809 
## [23] train-mlogloss:0.357903+0.003964    test-mlogloss:0.642229+0.005236 
## [24] train-mlogloss:0.353562+0.003683    test-mlogloss:0.648263+0.006692 
## [25] train-mlogloss:0.348074+0.004153    test-mlogloss:0.652946+0.008301 
## [26] train-mlogloss:0.342922+0.005241    test-mlogloss:0.656537+0.008453 
## [27] train-mlogloss:0.338095+0.005166    test-mlogloss:0.662027+0.007248 
## [28] train-mlogloss:0.333040+0.005255    test-mlogloss:0.667155+0.006052 
## [29] train-mlogloss:0.328289+0.003997    test-mlogloss:0.670869+0.009435 
## [30] train-mlogloss:0.322122+0.003844    test-mlogloss:0.677234+0.008883 
## [31] train-mlogloss:0.317461+0.003698    test-mlogloss:0.680336+0.008984 
## [32] train-mlogloss:0.312404+0.003834    test-mlogloss:0.682668+0.012171 
## [33] train-mlogloss:0.307212+0.004598    test-mlogloss:0.685285+0.014630 
## [34] train-mlogloss:0.301290+0.004940    test-mlogloss:0.691407+0.014402 
## [35] train-mlogloss:0.296899+0.005472    test-mlogloss:0.693162+0.013520 
## [36] train-mlogloss:0.292090+0.006039    test-mlogloss:0.698477+0.011126 
## [37] train-mlogloss:0.287964+0.006564    test-mlogloss:0.700150+0.010607 
## [38] train-mlogloss:0.284134+0.007735    test-mlogloss:0.702916+0.013133 
## [39] train-mlogloss:0.279917+0.006824    test-mlogloss:0.706216+0.011410 
## [40] train-mlogloss:0.276253+0.007425    test-mlogloss:0.706111+0.012121 
## [41] train-mlogloss:0.272146+0.007434    test-mlogloss:0.707956+0.014353 
## [42] train-mlogloss:0.267786+0.007300    test-mlogloss:0.711179+0.012259 
## [43] train-mlogloss:0.263853+0.007108    test-mlogloss:0.715506+0.012861 
## [44] train-mlogloss:0.259462+0.006487    test-mlogloss:0.720466+0.010801 
## [45] train-mlogloss:0.255361+0.006912    test-mlogloss:0.723348+0.009741 
## [46] train-mlogloss:0.251178+0.007194    test-mlogloss:0.727031+0.011324 
## [47] train-mlogloss:0.247218+0.007232    test-mlogloss:0.730815+0.010128 
## [48] train-mlogloss:0.242696+0.007099    test-mlogloss:0.735594+0.011207 
## [49] train-mlogloss:0.238736+0.007165    test-mlogloss:0.740589+0.010556 
## [50] train-mlogloss:0.234822+0.006548    test-mlogloss:0.744842+0.011151 
## [51] train-mlogloss:0.230874+0.006053    test-mlogloss:0.747528+0.008757 
## [52] train-mlogloss:0.226793+0.005984    test-mlogloss:0.749677+0.010831 
## [53] train-mlogloss:0.222684+0.004998    test-mlogloss:0.753349+0.011349 
## [54] train-mlogloss:0.219528+0.005394    test-mlogloss:0.756464+0.013007 
## [55] train-mlogloss:0.215494+0.004453    test-mlogloss:0.761759+0.014428 
## [56] train-mlogloss:0.211789+0.004625    test-mlogloss:0.765356+0.013020 
## [57] train-mlogloss:0.208145+0.003998    test-mlogloss:0.770740+0.015114 
## [58] train-mlogloss:0.205135+0.004199    test-mlogloss:0.772594+0.014966 
## [59] train-mlogloss:0.201322+0.004354    test-mlogloss:0.776890+0.016805 
## [60] train-mlogloss:0.198021+0.003794    test-mlogloss:0.781136+0.019578 
## [61] train-mlogloss:0.195653+0.003954    test-mlogloss:0.781655+0.021107 
## [62] train-mlogloss:0.192874+0.003854    test-mlogloss:0.784660+0.021503 
## [63] train-mlogloss:0.190121+0.004456    test-mlogloss:0.787806+0.022250 
## [64] train-mlogloss:0.187011+0.004188    test-mlogloss:0.790791+0.024764 
## [65] train-mlogloss:0.183982+0.003944    test-mlogloss:0.793200+0.021518 
## [66] train-mlogloss:0.181325+0.004331    test-mlogloss:0.793888+0.022003 
## [67] train-mlogloss:0.178096+0.004044    test-mlogloss:0.798645+0.021642 
## [68] train-mlogloss:0.175417+0.003921    test-mlogloss:0.800477+0.022624 
## [69] train-mlogloss:0.173219+0.003835    test-mlogloss:0.804427+0.021789 
## [70] train-mlogloss:0.170827+0.003825    test-mlogloss:0.805502+0.021314 
## [71] train-mlogloss:0.168529+0.004301    test-mlogloss:0.809072+0.021547 
## [72] train-mlogloss:0.166009+0.003968    test-mlogloss:0.810969+0.023467 
## [73] train-mlogloss:0.163859+0.003904    test-mlogloss:0.813931+0.023983 
## [74] train-mlogloss:0.161666+0.004169    test-mlogloss:0.816004+0.023028 
## [75] train-mlogloss:0.158709+0.004099    test-mlogloss:0.819901+0.022365 
## [76] train-mlogloss:0.156408+0.004252    test-mlogloss:0.820764+0.021118 
## [77] train-mlogloss:0.154320+0.004323    test-mlogloss:0.825241+0.020830 
## [78] train-mlogloss:0.152173+0.004219    test-mlogloss:0.828305+0.023494 
## [79] train-mlogloss:0.150020+0.004036    test-mlogloss:0.829222+0.022925 
## [80] train-mlogloss:0.147732+0.004161    test-mlogloss:0.831018+0.025815 
## [81] train-mlogloss:0.145289+0.003895    test-mlogloss:0.831861+0.026473 
## [82] train-mlogloss:0.142828+0.003597    test-mlogloss:0.835337+0.028479 
## [83] train-mlogloss:0.141052+0.003650    test-mlogloss:0.837413+0.027064 
## [84] train-mlogloss:0.139336+0.003623    test-mlogloss:0.838082+0.026536 
## [85] train-mlogloss:0.137164+0.003743    test-mlogloss:0.840723+0.026933 
## [86] train-mlogloss:0.135366+0.003513    test-mlogloss:0.843048+0.024919 
## [87] train-mlogloss:0.133292+0.003279    test-mlogloss:0.844089+0.027640 
## [88] train-mlogloss:0.131365+0.003022    test-mlogloss:0.844633+0.029029 
## [89] train-mlogloss:0.129329+0.002712    test-mlogloss:0.847371+0.030569 
## [90] train-mlogloss:0.127557+0.002883    test-mlogloss:0.849204+0.030641 
## [91] train-mlogloss:0.125642+0.002948    test-mlogloss:0.849886+0.028494 
## [92] train-mlogloss:0.124248+0.003090    test-mlogloss:0.852039+0.029163 
## [93] train-mlogloss:0.122497+0.003043    test-mlogloss:0.855616+0.027622 
## [94] train-mlogloss:0.120892+0.002928    test-mlogloss:0.857515+0.026871 
## [95] train-mlogloss:0.119417+0.002692    test-mlogloss:0.859255+0.027927 
## [96] train-mlogloss:0.117668+0.002536    test-mlogloss:0.862072+0.029623 
## [97] train-mlogloss:0.115973+0.002298    test-mlogloss:0.863854+0.028837 
## [98] train-mlogloss:0.114965+0.002118    test-mlogloss:0.865030+0.029675 
## [99] train-mlogloss:0.113620+0.002212    test-mlogloss:0.866915+0.032011 
## [100]    train-mlogloss:0.111911+0.002363    test-mlogloss:0.869779+0.032436 
## [101]    train-mlogloss:0.110224+0.002372    test-mlogloss:0.872313+0.034150 
## [102]    train-mlogloss:0.108638+0.002632    test-mlogloss:0.875510+0.035117 
## [103]    train-mlogloss:0.107324+0.002296    test-mlogloss:0.876591+0.035060 
## [104]    train-mlogloss:0.105837+0.002470    test-mlogloss:0.879840+0.035374 
## [105]    train-mlogloss:0.104587+0.002468    test-mlogloss:0.880923+0.034887 
## [106]    train-mlogloss:0.103213+0.002449    test-mlogloss:0.883104+0.035113 
## [107]    train-mlogloss:0.101744+0.002385    test-mlogloss:0.886859+0.034515 
## [108]    train-mlogloss:0.100210+0.002376    test-mlogloss:0.889589+0.034416 
## [109]    train-mlogloss:0.098546+0.002458    test-mlogloss:0.891146+0.034369 
## [110]    train-mlogloss:0.097191+0.002578    test-mlogloss:0.892348+0.034244 
## [111]    train-mlogloss:0.095761+0.002619    test-mlogloss:0.894987+0.032886 
## [112]    train-mlogloss:0.094548+0.002750    test-mlogloss:0.896955+0.033806 
## [113]    train-mlogloss:0.093189+0.002769    test-mlogloss:0.900247+0.033027 
## [114]    train-mlogloss:0.092145+0.002708    test-mlogloss:0.901650+0.032823 
## [115]    train-mlogloss:0.090737+0.002624    test-mlogloss:0.904746+0.033523 
## [116]    train-mlogloss:0.089810+0.002669    test-mlogloss:0.904857+0.033194 
## [117]    train-mlogloss:0.088576+0.002457    test-mlogloss:0.908456+0.032281 
## [118]    train-mlogloss:0.087386+0.002468    test-mlogloss:0.909348+0.032857 
## [119]    train-mlogloss:0.086343+0.002330    test-mlogloss:0.911092+0.033473 
## [120]    train-mlogloss:0.085215+0.002650    test-mlogloss:0.913451+0.032761 
## [121]    train-mlogloss:0.084276+0.002558    test-mlogloss:0.913599+0.032936 
## [122]    train-mlogloss:0.083342+0.002633    test-mlogloss:0.914666+0.034032 
## [123]    train-mlogloss:0.082302+0.002660    test-mlogloss:0.915937+0.035485 
## [124]    train-mlogloss:0.081245+0.002681    test-mlogloss:0.917146+0.034849 
## [125]    train-mlogloss:0.080102+0.002558    test-mlogloss:0.920793+0.034697 
## [126]    train-mlogloss:0.079139+0.002492    test-mlogloss:0.920965+0.034090 
## [127]    train-mlogloss:0.078217+0.002561    test-mlogloss:0.923155+0.036199 
## [128]    train-mlogloss:0.077234+0.002681    test-mlogloss:0.924357+0.035933 
## [129]    train-mlogloss:0.076296+0.002719    test-mlogloss:0.926879+0.037034 
## [130]    train-mlogloss:0.075253+0.002661    test-mlogloss:0.928213+0.037476 
## [131]    train-mlogloss:0.074321+0.002496    test-mlogloss:0.931186+0.036606 
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## [465]    train-mlogloss:0.009466+0.000127    test-mlogloss:1.215804+0.059712 
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## [479]    train-mlogloss:0.009102+0.000123    test-mlogloss:1.218888+0.060415 
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## [494]    train-mlogloss:0.008747+0.000084    test-mlogloss:1.225357+0.059888 
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## [498]    train-mlogloss:0.008646+0.000093    test-mlogloss:1.229139+0.061901 
## [499]    train-mlogloss:0.008623+0.000089    test-mlogloss:1.230158+0.062691 
## [500]    train-mlogloss:0.008598+0.000084    test-mlogloss:1.229436+0.062500 
## [1]  train-mlogloss:0.445197+0.003360    test-mlogloss:0.591509+0.012557 
## [2]  train-mlogloss:0.357494+0.003602    test-mlogloss:0.615533+0.015656 
## [3]  train-mlogloss:0.299068+0.003245    test-mlogloss:0.650251+0.017361 
## [4]  train-mlogloss:0.257653+0.005983    test-mlogloss:0.681701+0.020184 
## [5]  train-mlogloss:0.224242+0.004487    test-mlogloss:0.702317+0.020954 
## [6]  train-mlogloss:0.194566+0.005295    test-mlogloss:0.727616+0.025660 
## [7]  train-mlogloss:0.170115+0.005402    test-mlogloss:0.742195+0.028935 
## [8]  train-mlogloss:0.150085+0.004527    test-mlogloss:0.760965+0.027061 
## [9]  train-mlogloss:0.133458+0.004091    test-mlogloss:0.775517+0.027915 
## [10] train-mlogloss:0.119351+0.003295    test-mlogloss:0.789013+0.034015 
## [11] train-mlogloss:0.107811+0.002645    test-mlogloss:0.802887+0.033234 
## [12] train-mlogloss:0.097944+0.002560    test-mlogloss:0.814792+0.029771 
## [13] train-mlogloss:0.089563+0.002060    test-mlogloss:0.827465+0.032097 
## [14] train-mlogloss:0.082306+0.002166    test-mlogloss:0.835546+0.030751 
## [15] train-mlogloss:0.076158+0.001940    test-mlogloss:0.842395+0.030104 
## [16] train-mlogloss:0.070718+0.001463    test-mlogloss:0.849212+0.030411 
## [17] train-mlogloss:0.065942+0.001331    test-mlogloss:0.859021+0.032061 
## [18] train-mlogloss:0.061941+0.001385    test-mlogloss:0.867804+0.035295 
## [19] train-mlogloss:0.058336+0.001027    test-mlogloss:0.872932+0.037362 
## [20] train-mlogloss:0.054994+0.001074    test-mlogloss:0.876848+0.038845 
## [21] train-mlogloss:0.052119+0.000968    test-mlogloss:0.884921+0.041394 
## [22] train-mlogloss:0.049569+0.000882    test-mlogloss:0.890822+0.039337 
## [23] train-mlogloss:0.047315+0.000931    test-mlogloss:0.896708+0.040748 
## [24] train-mlogloss:0.045136+0.000817    test-mlogloss:0.903473+0.039797 
## [25] train-mlogloss:0.043367+0.000792    test-mlogloss:0.910008+0.039809 
## [26] train-mlogloss:0.041498+0.000780    test-mlogloss:0.917374+0.039617 
## [27] train-mlogloss:0.039998+0.000730    test-mlogloss:0.924198+0.040929 
## [28] train-mlogloss:0.038475+0.000670    test-mlogloss:0.929754+0.039748 
## [29] train-mlogloss:0.037117+0.000692    test-mlogloss:0.931106+0.038509 
## [30] train-mlogloss:0.035940+0.000688    test-mlogloss:0.934389+0.040382 
## [31] train-mlogloss:0.034784+0.000655    test-mlogloss:0.940128+0.039237 
## [32] train-mlogloss:0.033712+0.000645    test-mlogloss:0.944905+0.039795 
## [33] train-mlogloss:0.032645+0.000601    test-mlogloss:0.947281+0.041674 
## [34] train-mlogloss:0.031695+0.000524    test-mlogloss:0.950559+0.040467 
## [35] train-mlogloss:0.030826+0.000529    test-mlogloss:0.954869+0.040535 
## [36] train-mlogloss:0.030021+0.000500    test-mlogloss:0.956706+0.042694 
## [37] train-mlogloss:0.029234+0.000460    test-mlogloss:0.961392+0.043307 
## [38] train-mlogloss:0.028468+0.000476    test-mlogloss:0.964268+0.042309 
## [39] train-mlogloss:0.027808+0.000462    test-mlogloss:0.969024+0.041386 
## [40] train-mlogloss:0.027188+0.000376    test-mlogloss:0.970730+0.042423 
## [41] train-mlogloss:0.026576+0.000347    test-mlogloss:0.971567+0.042875 
## [42] train-mlogloss:0.025958+0.000311    test-mlogloss:0.975022+0.042838 
## [43] train-mlogloss:0.025417+0.000243    test-mlogloss:0.976330+0.043324 
## [44] train-mlogloss:0.024871+0.000250    test-mlogloss:0.977810+0.043718 
## [45] train-mlogloss:0.024358+0.000218    test-mlogloss:0.981037+0.044458 
## [46] train-mlogloss:0.023877+0.000253    test-mlogloss:0.984508+0.044776 
## [47] train-mlogloss:0.023456+0.000235    test-mlogloss:0.988274+0.042937 
## [48] train-mlogloss:0.023020+0.000231    test-mlogloss:0.987916+0.041205 
## [49] train-mlogloss:0.022554+0.000230    test-mlogloss:0.992506+0.041152 
## [50] train-mlogloss:0.022207+0.000219    test-mlogloss:0.994849+0.039769 
## [51] train-mlogloss:0.021871+0.000237    test-mlogloss:0.999966+0.041428 
## [52] train-mlogloss:0.021522+0.000240    test-mlogloss:1.001648+0.042338 
## [53] train-mlogloss:0.021142+0.000187    test-mlogloss:1.002737+0.041569 
## [54] train-mlogloss:0.020805+0.000172    test-mlogloss:1.004367+0.041832 
## [55] train-mlogloss:0.020487+0.000172    test-mlogloss:1.006833+0.042147 
## [56] train-mlogloss:0.020163+0.000122    test-mlogloss:1.010716+0.042025 
## [57] train-mlogloss:0.019844+0.000143    test-mlogloss:1.013291+0.040867 
## [58] train-mlogloss:0.019535+0.000117    test-mlogloss:1.015407+0.039034 
## [59] train-mlogloss:0.019242+0.000140    test-mlogloss:1.017185+0.040237 
## [60] train-mlogloss:0.018944+0.000100    test-mlogloss:1.018948+0.041110 
## [61] train-mlogloss:0.018682+0.000122    test-mlogloss:1.021235+0.040466 
## [62] train-mlogloss:0.018408+0.000107    test-mlogloss:1.022878+0.039639 
## [63] train-mlogloss:0.018150+0.000111    test-mlogloss:1.024671+0.037739 
## [64] train-mlogloss:0.017909+0.000100    test-mlogloss:1.026766+0.037502 
## [65] train-mlogloss:0.017667+0.000087    test-mlogloss:1.029944+0.037567 
## [66] train-mlogloss:0.017454+0.000070    test-mlogloss:1.031447+0.038002 
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## [68] train-mlogloss:0.017009+0.000085    test-mlogloss:1.033718+0.038201 
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## [71] train-mlogloss:0.016381+0.000090    test-mlogloss:1.039873+0.038832 
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## [76] train-mlogloss:0.015516+0.000069    test-mlogloss:1.044174+0.042979 
## [77] train-mlogloss:0.015349+0.000071    test-mlogloss:1.043614+0.042193 
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## [80] train-mlogloss:0.014883+0.000078    test-mlogloss:1.051001+0.041163 
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## [85] train-mlogloss:0.014186+0.000066    test-mlogloss:1.057547+0.042233 
## [86] train-mlogloss:0.014060+0.000065    test-mlogloss:1.059485+0.043526 
## [87] train-mlogloss:0.013932+0.000062    test-mlogloss:1.060006+0.043032 
## [88] train-mlogloss:0.013796+0.000072    test-mlogloss:1.061577+0.044059 
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## [453]    train-mlogloss:0.004718+0.000030    test-mlogloss:1.230397+0.056043 
## [454]    train-mlogloss:0.004715+0.000030    test-mlogloss:1.231366+0.056519 
## [455]    train-mlogloss:0.004710+0.000029    test-mlogloss:1.231162+0.055314 
## [456]    train-mlogloss:0.004706+0.000030    test-mlogloss:1.231649+0.056618 
## [457]    train-mlogloss:0.004699+0.000030    test-mlogloss:1.231037+0.056548 
## [458]    train-mlogloss:0.004689+0.000029    test-mlogloss:1.230200+0.056417 
## [459]    train-mlogloss:0.004683+0.000029    test-mlogloss:1.231278+0.056596 
## [460]    train-mlogloss:0.004676+0.000028    test-mlogloss:1.231753+0.056914 
## [461]    train-mlogloss:0.004671+0.000030    test-mlogloss:1.231956+0.057177 
## [462]    train-mlogloss:0.004666+0.000030    test-mlogloss:1.232224+0.057372 
## [463]    train-mlogloss:0.004662+0.000027    test-mlogloss:1.232618+0.058313 
## [464]    train-mlogloss:0.004659+0.000030    test-mlogloss:1.232801+0.058511 
## [465]    train-mlogloss:0.004655+0.000030    test-mlogloss:1.232707+0.058630 
## [466]    train-mlogloss:0.004649+0.000030    test-mlogloss:1.232525+0.058935 
## [467]    train-mlogloss:0.004645+0.000029    test-mlogloss:1.233224+0.058062 
## [468]    train-mlogloss:0.004640+0.000029    test-mlogloss:1.233887+0.058120 
## [469]    train-mlogloss:0.004637+0.000029    test-mlogloss:1.234668+0.057817 
## [470]    train-mlogloss:0.004630+0.000030    test-mlogloss:1.235283+0.057432 
## [471]    train-mlogloss:0.004622+0.000029    test-mlogloss:1.235687+0.057022 
## [472]    train-mlogloss:0.004617+0.000030    test-mlogloss:1.235462+0.056947 
## [473]    train-mlogloss:0.004610+0.000029    test-mlogloss:1.235370+0.056930 
## [474]    train-mlogloss:0.004604+0.000030    test-mlogloss:1.236488+0.057868 
## [475]    train-mlogloss:0.004597+0.000031    test-mlogloss:1.235558+0.057400 
## [476]    train-mlogloss:0.004591+0.000029    test-mlogloss:1.235885+0.057674 
## [477]    train-mlogloss:0.004589+0.000027    test-mlogloss:1.236826+0.058013 
## [478]    train-mlogloss:0.004583+0.000029    test-mlogloss:1.236856+0.057625 
## [479]    train-mlogloss:0.004579+0.000030    test-mlogloss:1.237155+0.056667 
## [480]    train-mlogloss:0.004574+0.000032    test-mlogloss:1.236910+0.057006 
## [481]    train-mlogloss:0.004567+0.000032    test-mlogloss:1.236379+0.057126 
## [482]    train-mlogloss:0.004560+0.000030    test-mlogloss:1.236721+0.056912 
## [483]    train-mlogloss:0.004556+0.000031    test-mlogloss:1.237241+0.057155 
## [484]    train-mlogloss:0.004551+0.000029    test-mlogloss:1.237083+0.057138 
## [485]    train-mlogloss:0.004546+0.000029    test-mlogloss:1.237926+0.056753 
## [486]    train-mlogloss:0.004542+0.000030    test-mlogloss:1.238577+0.056699 
## [487]    train-mlogloss:0.004537+0.000028    test-mlogloss:1.238130+0.056787 
## [488]    train-mlogloss:0.004534+0.000029    test-mlogloss:1.237713+0.056456 
## [489]    train-mlogloss:0.004528+0.000027    test-mlogloss:1.238155+0.057412 
## [490]    train-mlogloss:0.004522+0.000027    test-mlogloss:1.239302+0.057168 
## [491]    train-mlogloss:0.004519+0.000029    test-mlogloss:1.239433+0.056681 
## [492]    train-mlogloss:0.004514+0.000026    test-mlogloss:1.239260+0.056673 
## [493]    train-mlogloss:0.004507+0.000029    test-mlogloss:1.239148+0.056387 
## [494]    train-mlogloss:0.004503+0.000029    test-mlogloss:1.238838+0.056336 
## [495]    train-mlogloss:0.004498+0.000027    test-mlogloss:1.238101+0.057310 
## [496]    train-mlogloss:0.004493+0.000027    test-mlogloss:1.239373+0.057266 
## [497]    train-mlogloss:0.004487+0.000028    test-mlogloss:1.238966+0.057757 
## [498]    train-mlogloss:0.004483+0.000029    test-mlogloss:1.239649+0.057835 
## [499]    train-mlogloss:0.004479+0.000028    test-mlogloss:1.239654+0.057552 
## [500]    train-mlogloss:0.004474+0.000027    test-mlogloss:1.239186+0.057107 
## [1]  train-mlogloss:0.615388+0.001417    test-mlogloss:0.622923+0.003845 
## [2]  train-mlogloss:0.572186+0.003365    test-mlogloss:0.586574+0.005301 
## [3]  train-mlogloss:0.543853+0.002870    test-mlogloss:0.563854+0.006577 
## [4]  train-mlogloss:0.526361+0.003264    test-mlogloss:0.551324+0.006994 
## [5]  train-mlogloss:0.514022+0.003017    test-mlogloss:0.543968+0.008633 
## [6]  train-mlogloss:0.504632+0.003038    test-mlogloss:0.539844+0.009387 
## [7]  train-mlogloss:0.497786+0.003105    test-mlogloss:0.537646+0.009806 
## [8]  train-mlogloss:0.492211+0.003200    test-mlogloss:0.536499+0.010392 
## [9]  train-mlogloss:0.487640+0.003215    test-mlogloss:0.536408+0.010727 
## [10] train-mlogloss:0.483795+0.003334    test-mlogloss:0.536659+0.011240 
## [11] train-mlogloss:0.479850+0.002867    test-mlogloss:0.536688+0.010912 
## [12] train-mlogloss:0.476434+0.002785    test-mlogloss:0.537232+0.011043 
## [13] train-mlogloss:0.473473+0.002481    test-mlogloss:0.538220+0.011341 
## [14] train-mlogloss:0.471111+0.002798    test-mlogloss:0.538202+0.011431 
## [15] train-mlogloss:0.467676+0.002334    test-mlogloss:0.538781+0.011660 
## [16] train-mlogloss:0.465062+0.002695    test-mlogloss:0.538697+0.011883 
## [17] train-mlogloss:0.462715+0.003165    test-mlogloss:0.539075+0.012306 
## [18] train-mlogloss:0.460020+0.002961    test-mlogloss:0.539447+0.012587 
## [19] train-mlogloss:0.457555+0.003003    test-mlogloss:0.539502+0.012631 
## [20] train-mlogloss:0.455154+0.003040    test-mlogloss:0.540194+0.012572 
## [21] train-mlogloss:0.453114+0.002798    test-mlogloss:0.540274+0.012282 
## [22] train-mlogloss:0.450536+0.003206    test-mlogloss:0.540605+0.012121 
## [23] train-mlogloss:0.448174+0.003020    test-mlogloss:0.541147+0.012349 
## [24] train-mlogloss:0.445308+0.002360    test-mlogloss:0.541701+0.011932 
## [25] train-mlogloss:0.443034+0.002846    test-mlogloss:0.542477+0.012015 
## [26] train-mlogloss:0.440195+0.002991    test-mlogloss:0.543391+0.012020 
## [27] train-mlogloss:0.437920+0.003031    test-mlogloss:0.543841+0.012012 
## [28] train-mlogloss:0.434920+0.003465    test-mlogloss:0.544479+0.012898 
## [29] train-mlogloss:0.432449+0.003198    test-mlogloss:0.545179+0.012837 
## [30] train-mlogloss:0.430504+0.003792    test-mlogloss:0.545430+0.012704 
## [31] train-mlogloss:0.427563+0.003787    test-mlogloss:0.546169+0.012860 
## [32] train-mlogloss:0.425465+0.003537    test-mlogloss:0.546504+0.012704 
## [33] train-mlogloss:0.423754+0.003778    test-mlogloss:0.547058+0.013080 
## [34] train-mlogloss:0.421655+0.003706    test-mlogloss:0.547968+0.013191 
## [35] train-mlogloss:0.419099+0.003912    test-mlogloss:0.548174+0.012890 
## [36] train-mlogloss:0.416467+0.003559    test-mlogloss:0.548482+0.012686 
## [37] train-mlogloss:0.414505+0.003168    test-mlogloss:0.549035+0.012515 
## [38] train-mlogloss:0.412289+0.003525    test-mlogloss:0.549546+0.012469 
## [39] train-mlogloss:0.410020+0.003538    test-mlogloss:0.550397+0.011978 
## [40] train-mlogloss:0.407801+0.003892    test-mlogloss:0.551061+0.012334 
## [41] train-mlogloss:0.405172+0.004448    test-mlogloss:0.551287+0.013176 
## [42] train-mlogloss:0.402608+0.004512    test-mlogloss:0.551864+0.012904 
## [43] train-mlogloss:0.400151+0.004032    test-mlogloss:0.552421+0.012640 
## [44] train-mlogloss:0.397580+0.004145    test-mlogloss:0.553131+0.012892 
## [45] train-mlogloss:0.395683+0.004091    test-mlogloss:0.553220+0.012728 
## [46] train-mlogloss:0.393973+0.004104    test-mlogloss:0.553766+0.012703 
## [47] train-mlogloss:0.391628+0.004431    test-mlogloss:0.554423+0.012753 
## [48] train-mlogloss:0.389614+0.004253    test-mlogloss:0.554823+0.012878 
## [49] train-mlogloss:0.387009+0.004162    test-mlogloss:0.555128+0.013082 
## [50] train-mlogloss:0.384861+0.004468    test-mlogloss:0.555536+0.013117 
## [51] train-mlogloss:0.382948+0.004034    test-mlogloss:0.555921+0.013379 
## [52] train-mlogloss:0.380936+0.003919    test-mlogloss:0.556624+0.014029 
## [53] train-mlogloss:0.378662+0.003844    test-mlogloss:0.557186+0.014440 
## [54] train-mlogloss:0.376976+0.003733    test-mlogloss:0.556996+0.014501 
## [55] train-mlogloss:0.375068+0.003589    test-mlogloss:0.557716+0.014526 
## [56] train-mlogloss:0.372768+0.003602    test-mlogloss:0.558753+0.014738 
## [57] train-mlogloss:0.370782+0.003649    test-mlogloss:0.559466+0.014910 
## [58] train-mlogloss:0.368572+0.002981    test-mlogloss:0.559685+0.014832 
## [59] train-mlogloss:0.366802+0.002686    test-mlogloss:0.559830+0.014809 
## [60] train-mlogloss:0.364626+0.002642    test-mlogloss:0.560021+0.015235 
## [61] train-mlogloss:0.362691+0.002201    test-mlogloss:0.560339+0.015237 
## [62] train-mlogloss:0.360859+0.001948    test-mlogloss:0.561134+0.015033 
## [63] train-mlogloss:0.358643+0.002409    test-mlogloss:0.561428+0.014839 
## [64] train-mlogloss:0.356905+0.002287    test-mlogloss:0.561841+0.015171 
## [65] train-mlogloss:0.355113+0.002358    test-mlogloss:0.562542+0.014858 
## [66] train-mlogloss:0.353488+0.002450    test-mlogloss:0.563073+0.015181 
## [67] train-mlogloss:0.351767+0.002483    test-mlogloss:0.563878+0.015284 
## [68] train-mlogloss:0.349934+0.002865    test-mlogloss:0.564382+0.015187 
## [69] train-mlogloss:0.348274+0.002802    test-mlogloss:0.564922+0.015083 
## [70] train-mlogloss:0.346187+0.002860    test-mlogloss:0.565471+0.015190 
## [71] train-mlogloss:0.344542+0.002888    test-mlogloss:0.566142+0.015136 
## [72] train-mlogloss:0.342788+0.002799    test-mlogloss:0.566289+0.015129 
## [73] train-mlogloss:0.340689+0.002943    test-mlogloss:0.567125+0.014819 
## [74] train-mlogloss:0.338996+0.002438    test-mlogloss:0.567651+0.015135 
## [75] train-mlogloss:0.337357+0.002277    test-mlogloss:0.567983+0.015203 
## [76] train-mlogloss:0.335616+0.001897    test-mlogloss:0.569057+0.015800 
## [77] train-mlogloss:0.333881+0.001464    test-mlogloss:0.569800+0.015829 
## [78] train-mlogloss:0.332119+0.001795    test-mlogloss:0.570652+0.015703 
## [79] train-mlogloss:0.330304+0.002083    test-mlogloss:0.570983+0.015667 
## [80] train-mlogloss:0.328354+0.002096    test-mlogloss:0.571631+0.015305 
## [81] train-mlogloss:0.326694+0.001668    test-mlogloss:0.571984+0.015257 
## [82] train-mlogloss:0.325132+0.001542    test-mlogloss:0.572789+0.015172 
## [83] train-mlogloss:0.323571+0.001372    test-mlogloss:0.573454+0.015229 
## [84] train-mlogloss:0.321980+0.001542    test-mlogloss:0.573869+0.015147 
## [85] train-mlogloss:0.320327+0.001804    test-mlogloss:0.574785+0.015150 
## [86] train-mlogloss:0.318956+0.001977    test-mlogloss:0.575155+0.015072 
## [87] train-mlogloss:0.317300+0.001745    test-mlogloss:0.575720+0.014996 
## [88] train-mlogloss:0.315242+0.001293    test-mlogloss:0.576205+0.015158 
## [89] train-mlogloss:0.313867+0.001566    test-mlogloss:0.576978+0.015253 
## [90] train-mlogloss:0.312141+0.001604    test-mlogloss:0.577803+0.015277 
## [91] train-mlogloss:0.310430+0.001591    test-mlogloss:0.578262+0.015006 
## [92] train-mlogloss:0.309245+0.001832    test-mlogloss:0.578507+0.015099 
## [93] train-mlogloss:0.307547+0.001832    test-mlogloss:0.579711+0.014631 
## [94] train-mlogloss:0.305977+0.001616    test-mlogloss:0.580232+0.014414 
## [95] train-mlogloss:0.304559+0.001592    test-mlogloss:0.580519+0.014325 
## [96] train-mlogloss:0.302882+0.002122    test-mlogloss:0.580890+0.014617 
## [97] train-mlogloss:0.301228+0.002073    test-mlogloss:0.581642+0.014241 
## [98] train-mlogloss:0.299912+0.001871    test-mlogloss:0.582067+0.014300 
## [99] train-mlogloss:0.298050+0.002012    test-mlogloss:0.582438+0.014388 
## [100]    train-mlogloss:0.296510+0.001960    test-mlogloss:0.582448+0.013834 
## [101]    train-mlogloss:0.295262+0.002070    test-mlogloss:0.583111+0.014015 
## [102]    train-mlogloss:0.293777+0.002016    test-mlogloss:0.583882+0.014188 
## [103]    train-mlogloss:0.292086+0.002128    test-mlogloss:0.584474+0.014106 
## [104]    train-mlogloss:0.290641+0.002147    test-mlogloss:0.585023+0.013818 
## [105]    train-mlogloss:0.289328+0.002046    test-mlogloss:0.585410+0.014122 
## [106]    train-mlogloss:0.288066+0.002028    test-mlogloss:0.585625+0.014326 
## [107]    train-mlogloss:0.286553+0.002093    test-mlogloss:0.586188+0.014524 
## [108]    train-mlogloss:0.284953+0.002093    test-mlogloss:0.586616+0.014433 
## [109]    train-mlogloss:0.283124+0.002262    test-mlogloss:0.587130+0.014136 
## [110]    train-mlogloss:0.281552+0.002192    test-mlogloss:0.587760+0.014090 
## [111]    train-mlogloss:0.280125+0.002070    test-mlogloss:0.588581+0.014255 
## [112]    train-mlogloss:0.278778+0.002210    test-mlogloss:0.588778+0.014523 
## [113]    train-mlogloss:0.277250+0.002040    test-mlogloss:0.589346+0.014248 
## [114]    train-mlogloss:0.275748+0.001987    test-mlogloss:0.589892+0.014286 
## [115]    train-mlogloss:0.274269+0.002013    test-mlogloss:0.590449+0.014317 
## [116]    train-mlogloss:0.273293+0.001964    test-mlogloss:0.591003+0.014383 
## [117]    train-mlogloss:0.271833+0.002200    test-mlogloss:0.591256+0.014492 
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## [119]    train-mlogloss:0.269364+0.001528    test-mlogloss:0.591909+0.014732 
## [120]    train-mlogloss:0.268114+0.001474    test-mlogloss:0.592506+0.015211 
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## [122]    train-mlogloss:0.265201+0.001462    test-mlogloss:0.593329+0.014973 
## [123]    train-mlogloss:0.263941+0.001321    test-mlogloss:0.593954+0.014989 
## [124]    train-mlogloss:0.262793+0.001523    test-mlogloss:0.594197+0.015054 
## [125]    train-mlogloss:0.261388+0.001419    test-mlogloss:0.594528+0.014860 
## [126]    train-mlogloss:0.260208+0.001677    test-mlogloss:0.595332+0.015029 
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## [131]    train-mlogloss:0.254213+0.002286    test-mlogloss:0.598352+0.015275 
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## [134]    train-mlogloss:0.250108+0.002404    test-mlogloss:0.600035+0.015401 
## [135]    train-mlogloss:0.248850+0.002460    test-mlogloss:0.600536+0.015358 
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## [139]    train-mlogloss:0.244342+0.002163    test-mlogloss:0.602265+0.015383 
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## [366]    train-mlogloss:0.088735+0.000750    test-mlogloss:0.717614+0.019581 
## [367]    train-mlogloss:0.088365+0.000708    test-mlogloss:0.717749+0.019570 
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## [369]    train-mlogloss:0.087733+0.000705    test-mlogloss:0.719061+0.018809 
## [370]    train-mlogloss:0.087364+0.000618    test-mlogloss:0.719488+0.018645 
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## [372]    train-mlogloss:0.086727+0.000647    test-mlogloss:0.720471+0.018027 
## [373]    train-mlogloss:0.086416+0.000647    test-mlogloss:0.720860+0.018095 
## [374]    train-mlogloss:0.086030+0.000678    test-mlogloss:0.721633+0.018187 
## [375]    train-mlogloss:0.085723+0.000718    test-mlogloss:0.722057+0.017944 
## [376]    train-mlogloss:0.085350+0.000673    test-mlogloss:0.722763+0.018227 
## [377]    train-mlogloss:0.085007+0.000735    test-mlogloss:0.723220+0.018376 
## [378]    train-mlogloss:0.084656+0.000770    test-mlogloss:0.723785+0.018551 
## [379]    train-mlogloss:0.084288+0.000668    test-mlogloss:0.724409+0.018605 
## [380]    train-mlogloss:0.083951+0.000608    test-mlogloss:0.724786+0.018564 
## [381]    train-mlogloss:0.083667+0.000624    test-mlogloss:0.725401+0.018177 
## [382]    train-mlogloss:0.083380+0.000629    test-mlogloss:0.725850+0.018085 
## [383]    train-mlogloss:0.083049+0.000541    test-mlogloss:0.726405+0.018071 
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## [389]    train-mlogloss:0.081140+0.000580    test-mlogloss:0.729016+0.017875 
## [390]    train-mlogloss:0.080845+0.000610    test-mlogloss:0.729804+0.017837 
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## [392]    train-mlogloss:0.080263+0.000570    test-mlogloss:0.730856+0.017858 
## [393]    train-mlogloss:0.079960+0.000587    test-mlogloss:0.731300+0.018118 
## [394]    train-mlogloss:0.079716+0.000615    test-mlogloss:0.732126+0.018329 
## [395]    train-mlogloss:0.079407+0.000571    test-mlogloss:0.732281+0.018070 
## [396]    train-mlogloss:0.079019+0.000595    test-mlogloss:0.733108+0.017912 
## [397]    train-mlogloss:0.078722+0.000515    test-mlogloss:0.733649+0.017739 
## [398]    train-mlogloss:0.078470+0.000490    test-mlogloss:0.734125+0.017535 
## [399]    train-mlogloss:0.078147+0.000527    test-mlogloss:0.734787+0.017443 
## [400]    train-mlogloss:0.077882+0.000530    test-mlogloss:0.735340+0.017765 
## [401]    train-mlogloss:0.077629+0.000594    test-mlogloss:0.736142+0.017505 
## [402]    train-mlogloss:0.077325+0.000607    test-mlogloss:0.736210+0.017264 
## [403]    train-mlogloss:0.076975+0.000560    test-mlogloss:0.736716+0.017352 
## [404]    train-mlogloss:0.076691+0.000527    test-mlogloss:0.737177+0.017648 
## [405]    train-mlogloss:0.076341+0.000499    test-mlogloss:0.737389+0.017622 
## [406]    train-mlogloss:0.076086+0.000546    test-mlogloss:0.738237+0.017580 
## [407]    train-mlogloss:0.075754+0.000584    test-mlogloss:0.738677+0.017445 
## [408]    train-mlogloss:0.075381+0.000568    test-mlogloss:0.738888+0.017049 
## [409]    train-mlogloss:0.075139+0.000534    test-mlogloss:0.739195+0.016982 
## [410]    train-mlogloss:0.074906+0.000503    test-mlogloss:0.739362+0.017063 
## [411]    train-mlogloss:0.074624+0.000506    test-mlogloss:0.739895+0.017095 
## [412]    train-mlogloss:0.074381+0.000567    test-mlogloss:0.740260+0.017175 
## [413]    train-mlogloss:0.074034+0.000536    test-mlogloss:0.741077+0.016999 
## [414]    train-mlogloss:0.073739+0.000561    test-mlogloss:0.741473+0.017041 
## [415]    train-mlogloss:0.073471+0.000519    test-mlogloss:0.742229+0.016999 
## [416]    train-mlogloss:0.073248+0.000587    test-mlogloss:0.742703+0.017196 
## [417]    train-mlogloss:0.073044+0.000563    test-mlogloss:0.743181+0.016968 
## [418]    train-mlogloss:0.072757+0.000618    test-mlogloss:0.743865+0.017191 
## [419]    train-mlogloss:0.072525+0.000604    test-mlogloss:0.744050+0.017102 
## [420]    train-mlogloss:0.072267+0.000547    test-mlogloss:0.744382+0.017220 
## [421]    train-mlogloss:0.071981+0.000562    test-mlogloss:0.744692+0.016948 
## [422]    train-mlogloss:0.071734+0.000617    test-mlogloss:0.745246+0.017097 
## [423]    train-mlogloss:0.071487+0.000562    test-mlogloss:0.745616+0.016894 
## [424]    train-mlogloss:0.071232+0.000591    test-mlogloss:0.745767+0.017073 
## [425]    train-mlogloss:0.070973+0.000554    test-mlogloss:0.746077+0.017022 
## [426]    train-mlogloss:0.070697+0.000576    test-mlogloss:0.746509+0.016927 
## [427]    train-mlogloss:0.070418+0.000594    test-mlogloss:0.746688+0.017237 
## [428]    train-mlogloss:0.070181+0.000604    test-mlogloss:0.747166+0.017423 
## [429]    train-mlogloss:0.069970+0.000616    test-mlogloss:0.747579+0.017495 
## [430]    train-mlogloss:0.069732+0.000611    test-mlogloss:0.747821+0.017659 
## [431]    train-mlogloss:0.069489+0.000627    test-mlogloss:0.748209+0.017337 
## [432]    train-mlogloss:0.069208+0.000560    test-mlogloss:0.748500+0.017135 
## [433]    train-mlogloss:0.068942+0.000565    test-mlogloss:0.749058+0.017172 
## [434]    train-mlogloss:0.068703+0.000615    test-mlogloss:0.749701+0.017345 
## [435]    train-mlogloss:0.068441+0.000579    test-mlogloss:0.749974+0.017108 
## [436]    train-mlogloss:0.068210+0.000544    test-mlogloss:0.750400+0.017129 
## [437]    train-mlogloss:0.067965+0.000568    test-mlogloss:0.750613+0.016778 
## [438]    train-mlogloss:0.067747+0.000544    test-mlogloss:0.750972+0.016801 
## [439]    train-mlogloss:0.067527+0.000534    test-mlogloss:0.751674+0.016754 
## [440]    train-mlogloss:0.067301+0.000585    test-mlogloss:0.752330+0.016816 
## [441]    train-mlogloss:0.067100+0.000575    test-mlogloss:0.753084+0.016760 
## [442]    train-mlogloss:0.066881+0.000611    test-mlogloss:0.753559+0.016689 
## [443]    train-mlogloss:0.066674+0.000575    test-mlogloss:0.753885+0.016326 
## [444]    train-mlogloss:0.066334+0.000560    test-mlogloss:0.754057+0.016661 
## [445]    train-mlogloss:0.066102+0.000496    test-mlogloss:0.754722+0.016673 
## [446]    train-mlogloss:0.065905+0.000515    test-mlogloss:0.755182+0.016985 
## [447]    train-mlogloss:0.065616+0.000505    test-mlogloss:0.755623+0.017204 
## [448]    train-mlogloss:0.065422+0.000528    test-mlogloss:0.755963+0.017184 
## [449]    train-mlogloss:0.065156+0.000545    test-mlogloss:0.756245+0.016866 
## [450]    train-mlogloss:0.064928+0.000562    test-mlogloss:0.756718+0.016788 
## [451]    train-mlogloss:0.064709+0.000644    test-mlogloss:0.757468+0.017191 
## [452]    train-mlogloss:0.064430+0.000662    test-mlogloss:0.758108+0.017540 
## [453]    train-mlogloss:0.064207+0.000652    test-mlogloss:0.758533+0.017455 
## [454]    train-mlogloss:0.063899+0.000669    test-mlogloss:0.759260+0.017322 
## [455]    train-mlogloss:0.063745+0.000698    test-mlogloss:0.759482+0.017747 
## [456]    train-mlogloss:0.063547+0.000736    test-mlogloss:0.759878+0.017947 
## [457]    train-mlogloss:0.063300+0.000796    test-mlogloss:0.760328+0.018017 
## [458]    train-mlogloss:0.063119+0.000735    test-mlogloss:0.760565+0.017518 
## [459]    train-mlogloss:0.062905+0.000733    test-mlogloss:0.761178+0.017461 
## [460]    train-mlogloss:0.062701+0.000760    test-mlogloss:0.761603+0.017393 
## [461]    train-mlogloss:0.062489+0.000707    test-mlogloss:0.762213+0.017561 
## [462]    train-mlogloss:0.062261+0.000727    test-mlogloss:0.763080+0.017429 
## [463]    train-mlogloss:0.062052+0.000765    test-mlogloss:0.763657+0.017501 
## [464]    train-mlogloss:0.061872+0.000772    test-mlogloss:0.764061+0.017433 
## [465]    train-mlogloss:0.061695+0.000745    test-mlogloss:0.764347+0.017199 
## [466]    train-mlogloss:0.061462+0.000749    test-mlogloss:0.764712+0.017278 
## [467]    train-mlogloss:0.061252+0.000717    test-mlogloss:0.765029+0.017005 
## [468]    train-mlogloss:0.061034+0.000726    test-mlogloss:0.765628+0.017082 
## [469]    train-mlogloss:0.060838+0.000705    test-mlogloss:0.765960+0.017260 
## [470]    train-mlogloss:0.060650+0.000698    test-mlogloss:0.766251+0.017459 
## [471]    train-mlogloss:0.060438+0.000755    test-mlogloss:0.766827+0.017332 
## [472]    train-mlogloss:0.060214+0.000732    test-mlogloss:0.767191+0.017353 
## [473]    train-mlogloss:0.060018+0.000698    test-mlogloss:0.767588+0.017039 
## [474]    train-mlogloss:0.059829+0.000712    test-mlogloss:0.767879+0.017106 
## [475]    train-mlogloss:0.059599+0.000615    test-mlogloss:0.768676+0.016863 
## [476]    train-mlogloss:0.059399+0.000640    test-mlogloss:0.769015+0.016646 
## [477]    train-mlogloss:0.059171+0.000614    test-mlogloss:0.769548+0.016576 
## [478]    train-mlogloss:0.058994+0.000613    test-mlogloss:0.770010+0.016617 
## [479]    train-mlogloss:0.058796+0.000617    test-mlogloss:0.770251+0.017141 
## [480]    train-mlogloss:0.058596+0.000614    test-mlogloss:0.770521+0.016985 
## [481]    train-mlogloss:0.058398+0.000595    test-mlogloss:0.770862+0.016800 
## [482]    train-mlogloss:0.058177+0.000633    test-mlogloss:0.771477+0.016360 
## [483]    train-mlogloss:0.058016+0.000662    test-mlogloss:0.771921+0.016246 
## [484]    train-mlogloss:0.057801+0.000691    test-mlogloss:0.772241+0.016303 
## [485]    train-mlogloss:0.057618+0.000716    test-mlogloss:0.772743+0.016260 
## [486]    train-mlogloss:0.057378+0.000738    test-mlogloss:0.773551+0.015937 
## [487]    train-mlogloss:0.057181+0.000695    test-mlogloss:0.774075+0.016211 
## [488]    train-mlogloss:0.056991+0.000685    test-mlogloss:0.774296+0.016447 
## [489]    train-mlogloss:0.056786+0.000689    test-mlogloss:0.774858+0.016916 
## [490]    train-mlogloss:0.056600+0.000736    test-mlogloss:0.775384+0.017076 
## [491]    train-mlogloss:0.056428+0.000749    test-mlogloss:0.775893+0.016952 
## [492]    train-mlogloss:0.056228+0.000776    test-mlogloss:0.776375+0.016811 
## [493]    train-mlogloss:0.056029+0.000743    test-mlogloss:0.776735+0.017019 
## [494]    train-mlogloss:0.055821+0.000768    test-mlogloss:0.777507+0.017469 
## [495]    train-mlogloss:0.055613+0.000800    test-mlogloss:0.778347+0.017694 
## [496]    train-mlogloss:0.055422+0.000782    test-mlogloss:0.778531+0.017560 
## [497]    train-mlogloss:0.055268+0.000791    test-mlogloss:0.779082+0.017952 
## [498]    train-mlogloss:0.055089+0.000761    test-mlogloss:0.779567+0.017993 
## [499]    train-mlogloss:0.054901+0.000763    test-mlogloss:0.780128+0.018234 
## [500]    train-mlogloss:0.054715+0.000789    test-mlogloss:0.780622+0.018625 
## [1]  train-mlogloss:0.568299+0.002381    test-mlogloss:0.630261+0.004123 
## [2]  train-mlogloss:0.485227+0.002631    test-mlogloss:0.596770+0.005903 
## [3]  train-mlogloss:0.420668+0.002326    test-mlogloss:0.577427+0.007697 
## [4]  train-mlogloss:0.372776+0.002880    test-mlogloss:0.569482+0.008495 
## [5]  train-mlogloss:0.332498+0.002778    test-mlogloss:0.564676+0.009990 
## [6]  train-mlogloss:0.300674+0.003119    test-mlogloss:0.562616+0.010663 
## [7]  train-mlogloss:0.273854+0.003025    test-mlogloss:0.563031+0.010898 
## [8]  train-mlogloss:0.251841+0.002805    test-mlogloss:0.565961+0.012057 
## [9]  train-mlogloss:0.232579+0.002371    test-mlogloss:0.568903+0.012330 
## [10] train-mlogloss:0.217469+0.002665    test-mlogloss:0.571796+0.012480 
## [11] train-mlogloss:0.203941+0.003463    test-mlogloss:0.576018+0.013959 
## [12] train-mlogloss:0.193438+0.004284    test-mlogloss:0.577822+0.015442 
## [13] train-mlogloss:0.182746+0.004446    test-mlogloss:0.581073+0.015733 
## [14] train-mlogloss:0.172677+0.003966    test-mlogloss:0.585118+0.016497 
## [15] train-mlogloss:0.164300+0.003263    test-mlogloss:0.588146+0.016159 
## [16] train-mlogloss:0.158054+0.002748    test-mlogloss:0.590410+0.017050 
## [17] train-mlogloss:0.150014+0.003645    test-mlogloss:0.593017+0.018375 
## [18] train-mlogloss:0.144574+0.004401    test-mlogloss:0.594752+0.018411 
## [19] train-mlogloss:0.139483+0.004250    test-mlogloss:0.596840+0.018994 
## [20] train-mlogloss:0.132986+0.002814    test-mlogloss:0.599982+0.018435 
## [21] train-mlogloss:0.128001+0.002386    test-mlogloss:0.602303+0.018870 
## [22] train-mlogloss:0.122878+0.002298    test-mlogloss:0.604816+0.019056 
## [23] train-mlogloss:0.118119+0.002340    test-mlogloss:0.606677+0.019839 
## [24] train-mlogloss:0.113095+0.002174    test-mlogloss:0.610005+0.020400 
## [25] train-mlogloss:0.108754+0.002396    test-mlogloss:0.613382+0.021071 
## [26] train-mlogloss:0.104530+0.002740    test-mlogloss:0.617001+0.021757 
## [27] train-mlogloss:0.100499+0.002418    test-mlogloss:0.619075+0.021828 
## [28] train-mlogloss:0.097439+0.002759    test-mlogloss:0.621970+0.022453 
## [29] train-mlogloss:0.094068+0.002466    test-mlogloss:0.623955+0.022995 
## [30] train-mlogloss:0.090651+0.002110    test-mlogloss:0.627158+0.022976 
## [31] train-mlogloss:0.087627+0.002308    test-mlogloss:0.629878+0.023542 
## [32] train-mlogloss:0.084847+0.002157    test-mlogloss:0.632566+0.023549 
## [33] train-mlogloss:0.082245+0.002239    test-mlogloss:0.635351+0.024049 
## [34] train-mlogloss:0.079518+0.002263    test-mlogloss:0.638171+0.024268 
## [35] train-mlogloss:0.077103+0.002210    test-mlogloss:0.640326+0.024478 
## [36] train-mlogloss:0.074984+0.002077    test-mlogloss:0.642073+0.024134 
## [37] train-mlogloss:0.072998+0.002008    test-mlogloss:0.644104+0.024318 
## [38] train-mlogloss:0.071062+0.002077    test-mlogloss:0.646501+0.024689 
## [39] train-mlogloss:0.069040+0.001929    test-mlogloss:0.648780+0.025367 
## [40] train-mlogloss:0.067205+0.001853    test-mlogloss:0.650978+0.025149 
## [41] train-mlogloss:0.065348+0.001732    test-mlogloss:0.652854+0.025337 
## [42] train-mlogloss:0.064001+0.001717    test-mlogloss:0.654509+0.025110 
## [43] train-mlogloss:0.062451+0.001660    test-mlogloss:0.656825+0.025868 
## [44] train-mlogloss:0.060993+0.001612    test-mlogloss:0.659606+0.025755 
## [45] train-mlogloss:0.059500+0.001509    test-mlogloss:0.661509+0.025991 
## [46] train-mlogloss:0.058071+0.001455    test-mlogloss:0.663497+0.026301 
## [47] train-mlogloss:0.056714+0.001398    test-mlogloss:0.665627+0.026064 
## [48] train-mlogloss:0.055455+0.001228    test-mlogloss:0.667887+0.026485 
## [49] train-mlogloss:0.054250+0.001075    test-mlogloss:0.668961+0.026601 
## [50] train-mlogloss:0.053086+0.001062    test-mlogloss:0.670625+0.026620 
## [51] train-mlogloss:0.052019+0.001046    test-mlogloss:0.672533+0.026078 
## [52] train-mlogloss:0.050935+0.000973    test-mlogloss:0.674680+0.026700 
## [53] train-mlogloss:0.049889+0.000888    test-mlogloss:0.675708+0.026977 
## [54] train-mlogloss:0.048867+0.000903    test-mlogloss:0.677998+0.026673 
## [55] train-mlogloss:0.047952+0.000879    test-mlogloss:0.679456+0.026407 
## [56] train-mlogloss:0.047000+0.000845    test-mlogloss:0.681085+0.026230 
## [57] train-mlogloss:0.046056+0.000814    test-mlogloss:0.682737+0.025835 
## [58] train-mlogloss:0.045204+0.000863    test-mlogloss:0.684584+0.026427 
## [59] train-mlogloss:0.044419+0.000753    test-mlogloss:0.686947+0.026686 
## [60] train-mlogloss:0.043634+0.000778    test-mlogloss:0.688166+0.026719 
## [61] train-mlogloss:0.042919+0.000747    test-mlogloss:0.690088+0.026701 
## [62] train-mlogloss:0.042158+0.000715    test-mlogloss:0.691951+0.027355 
## [63] train-mlogloss:0.041431+0.000672    test-mlogloss:0.693589+0.027735 
## [64] train-mlogloss:0.040747+0.000642    test-mlogloss:0.695370+0.027405 
## [65] train-mlogloss:0.040110+0.000572    test-mlogloss:0.696994+0.027242 
## [66] train-mlogloss:0.039481+0.000567    test-mlogloss:0.698560+0.027066 
## [67] train-mlogloss:0.038837+0.000576    test-mlogloss:0.700192+0.027496 
## [68] train-mlogloss:0.038238+0.000608    test-mlogloss:0.702519+0.027359 
## [69] train-mlogloss:0.037664+0.000596    test-mlogloss:0.703934+0.027340 
## [70] train-mlogloss:0.037136+0.000593    test-mlogloss:0.705176+0.027401 
## [71] train-mlogloss:0.036626+0.000615    test-mlogloss:0.706414+0.027296 
## [72] train-mlogloss:0.036061+0.000596    test-mlogloss:0.708021+0.027199 
## [73] train-mlogloss:0.035564+0.000560    test-mlogloss:0.709197+0.027648 
## [74] train-mlogloss:0.035052+0.000541    test-mlogloss:0.710566+0.027928 
## [75] train-mlogloss:0.034566+0.000532    test-mlogloss:0.712285+0.027877 
## [76] train-mlogloss:0.034090+0.000523    test-mlogloss:0.713852+0.028475 
## [77] train-mlogloss:0.033650+0.000495    test-mlogloss:0.715737+0.028587 
## [78] train-mlogloss:0.033239+0.000482    test-mlogloss:0.717356+0.028765 
## [79] train-mlogloss:0.032780+0.000469    test-mlogloss:0.718620+0.028679 
## [80] train-mlogloss:0.032379+0.000444    test-mlogloss:0.720377+0.028914 
## [81] train-mlogloss:0.031984+0.000428    test-mlogloss:0.721684+0.029091 
## [82] train-mlogloss:0.031579+0.000437    test-mlogloss:0.722343+0.028756 
## [83] train-mlogloss:0.031223+0.000446    test-mlogloss:0.723392+0.028502 
## [84] train-mlogloss:0.030869+0.000464    test-mlogloss:0.724425+0.028759 
## [85] train-mlogloss:0.030526+0.000462    test-mlogloss:0.725580+0.028816 
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## [87] train-mlogloss:0.029799+0.000465    test-mlogloss:0.728562+0.028847 
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## [479]    train-mlogloss:0.007315+0.000051    test-mlogloss:0.911827+0.039766 
## [480]    train-mlogloss:0.007305+0.000051    test-mlogloss:0.912048+0.039971 
## [481]    train-mlogloss:0.007294+0.000051    test-mlogloss:0.912262+0.039917 
## [482]    train-mlogloss:0.007284+0.000051    test-mlogloss:0.912429+0.039987 
## [483]    train-mlogloss:0.007274+0.000051    test-mlogloss:0.912939+0.039923 
## [484]    train-mlogloss:0.007262+0.000051    test-mlogloss:0.913386+0.039959 
## [485]    train-mlogloss:0.007252+0.000050    test-mlogloss:0.913670+0.040025 
## [486]    train-mlogloss:0.007242+0.000050    test-mlogloss:0.914204+0.040087 
## [487]    train-mlogloss:0.007232+0.000050    test-mlogloss:0.914631+0.039976 
## [488]    train-mlogloss:0.007222+0.000050    test-mlogloss:0.914645+0.040246 
## [489]    train-mlogloss:0.007213+0.000050    test-mlogloss:0.914927+0.039989 
## [490]    train-mlogloss:0.007203+0.000049    test-mlogloss:0.914969+0.040305 
## [491]    train-mlogloss:0.007193+0.000050    test-mlogloss:0.915459+0.040458 
## [492]    train-mlogloss:0.007183+0.000049    test-mlogloss:0.915778+0.040474 
## [493]    train-mlogloss:0.007174+0.000049    test-mlogloss:0.915920+0.040520 
## [494]    train-mlogloss:0.007165+0.000049    test-mlogloss:0.916039+0.040500 
## [495]    train-mlogloss:0.007156+0.000049    test-mlogloss:0.916320+0.040407 
## [496]    train-mlogloss:0.007146+0.000048    test-mlogloss:0.916690+0.040488 
## [497]    train-mlogloss:0.007137+0.000049    test-mlogloss:0.917183+0.040470 
## [498]    train-mlogloss:0.007128+0.000049    test-mlogloss:0.917464+0.040455 
## [499]    train-mlogloss:0.007118+0.000049    test-mlogloss:0.917874+0.040337 
## [500]    train-mlogloss:0.007109+0.000048    test-mlogloss:0.918129+0.040352 
## [1]  train-mlogloss:0.539968+0.003045    test-mlogloss:0.556989+0.011012 
## [2]  train-mlogloss:0.508378+0.002684    test-mlogloss:0.540907+0.012354 
## [3]  train-mlogloss:0.495092+0.002586    test-mlogloss:0.539622+0.012908 
## [4]  train-mlogloss:0.485377+0.002305    test-mlogloss:0.540058+0.014048 
## [5]  train-mlogloss:0.478396+0.002498    test-mlogloss:0.542947+0.016108 
## [6]  train-mlogloss:0.471375+0.002684    test-mlogloss:0.544388+0.015504 
## [7]  train-mlogloss:0.462024+0.002762    test-mlogloss:0.548057+0.016695 
## [8]  train-mlogloss:0.456552+0.002699    test-mlogloss:0.550452+0.016333 
## [9]  train-mlogloss:0.450361+0.004061    test-mlogloss:0.552263+0.016407 
## [10] train-mlogloss:0.444823+0.004759    test-mlogloss:0.553746+0.015991 
## [11] train-mlogloss:0.437861+0.004338    test-mlogloss:0.557201+0.016916 
## [12] train-mlogloss:0.432818+0.003682    test-mlogloss:0.558849+0.017681 
## [13] train-mlogloss:0.426243+0.004916    test-mlogloss:0.561210+0.017369 
## [14] train-mlogloss:0.419777+0.004664    test-mlogloss:0.562957+0.018357 
## [15] train-mlogloss:0.413914+0.003325    test-mlogloss:0.566233+0.017732 
## [16] train-mlogloss:0.408294+0.003043    test-mlogloss:0.569303+0.018698 
## [17] train-mlogloss:0.401856+0.004270    test-mlogloss:0.572807+0.018367 
## [18] train-mlogloss:0.396570+0.004735    test-mlogloss:0.575573+0.019095 
## [19] train-mlogloss:0.391191+0.005599    test-mlogloss:0.577118+0.017805 
## [20] train-mlogloss:0.385524+0.004509    test-mlogloss:0.579242+0.017666 
## [21] train-mlogloss:0.379568+0.005235    test-mlogloss:0.581892+0.019943 
## [22] train-mlogloss:0.374308+0.005525    test-mlogloss:0.583572+0.018967 
## [23] train-mlogloss:0.370278+0.005274    test-mlogloss:0.585711+0.019504 
## [24] train-mlogloss:0.365562+0.004832    test-mlogloss:0.587390+0.019913 
## [25] train-mlogloss:0.361352+0.004876    test-mlogloss:0.590660+0.020081 
## [26] train-mlogloss:0.356917+0.004206    test-mlogloss:0.593439+0.020401 
## [27] train-mlogloss:0.352477+0.003724    test-mlogloss:0.597374+0.021292 
## [28] train-mlogloss:0.348333+0.004266    test-mlogloss:0.599283+0.021327 
## [29] train-mlogloss:0.343559+0.004682    test-mlogloss:0.602789+0.022133 
## [30] train-mlogloss:0.338859+0.004794    test-mlogloss:0.606480+0.021897 
## [31] train-mlogloss:0.334140+0.005190    test-mlogloss:0.609065+0.022842 
## [32] train-mlogloss:0.329049+0.004714    test-mlogloss:0.613455+0.023726 
## [33] train-mlogloss:0.324069+0.004659    test-mlogloss:0.615236+0.022918 
## [34] train-mlogloss:0.319711+0.004638    test-mlogloss:0.618109+0.022962 
## [35] train-mlogloss:0.315287+0.004373    test-mlogloss:0.619884+0.022922 
## [36] train-mlogloss:0.311801+0.004567    test-mlogloss:0.621262+0.021691 
## [37] train-mlogloss:0.306610+0.003992    test-mlogloss:0.622769+0.021605 
## [38] train-mlogloss:0.302945+0.003742    test-mlogloss:0.624423+0.021878 
## [39] train-mlogloss:0.299439+0.004006    test-mlogloss:0.626753+0.021812 
## [40] train-mlogloss:0.295404+0.003909    test-mlogloss:0.628892+0.022288 
## [41] train-mlogloss:0.291541+0.003456    test-mlogloss:0.630802+0.021671 
## [42] train-mlogloss:0.287066+0.003724    test-mlogloss:0.632860+0.021808 
## [43] train-mlogloss:0.282665+0.003374    test-mlogloss:0.634846+0.021564 
## [44] train-mlogloss:0.279008+0.003857    test-mlogloss:0.636002+0.021558 
## [45] train-mlogloss:0.274851+0.004162    test-mlogloss:0.636943+0.021303 
## [46] train-mlogloss:0.270223+0.004625    test-mlogloss:0.638849+0.021520 
## [47] train-mlogloss:0.266453+0.004534    test-mlogloss:0.640739+0.022032 
## [48] train-mlogloss:0.262594+0.005209    test-mlogloss:0.642824+0.021814 
## [49] train-mlogloss:0.259021+0.006015    test-mlogloss:0.645162+0.022361 
## [50] train-mlogloss:0.255065+0.005900    test-mlogloss:0.647425+0.021934 
## [51] train-mlogloss:0.252093+0.004915    test-mlogloss:0.649353+0.021446 
## [52] train-mlogloss:0.248592+0.004718    test-mlogloss:0.650894+0.020847 
## [53] train-mlogloss:0.245604+0.005041    test-mlogloss:0.653334+0.020101 
## [54] train-mlogloss:0.242439+0.005622    test-mlogloss:0.654649+0.020897 
## [55] train-mlogloss:0.239244+0.005541    test-mlogloss:0.655734+0.021920 
## [56] train-mlogloss:0.236114+0.005486    test-mlogloss:0.657176+0.023056 
## [57] train-mlogloss:0.233497+0.005207    test-mlogloss:0.659636+0.024039 
## [58] train-mlogloss:0.230841+0.005780    test-mlogloss:0.661571+0.023878 
## [59] train-mlogloss:0.227951+0.005249    test-mlogloss:0.663449+0.024358 
## [60] train-mlogloss:0.225038+0.005500    test-mlogloss:0.666124+0.026297 
## [61] train-mlogloss:0.222120+0.004889    test-mlogloss:0.669460+0.027042 
## [62] train-mlogloss:0.219200+0.004640    test-mlogloss:0.671076+0.027309 
## [63] train-mlogloss:0.216025+0.004486    test-mlogloss:0.673982+0.026381 
## [64] train-mlogloss:0.212922+0.004389    test-mlogloss:0.677262+0.025115 
## [65] train-mlogloss:0.210393+0.005152    test-mlogloss:0.679135+0.025286 
## [66] train-mlogloss:0.207145+0.005522    test-mlogloss:0.680135+0.026655 
## [67] train-mlogloss:0.204651+0.004807    test-mlogloss:0.681564+0.026274 
## [68] train-mlogloss:0.201831+0.004711    test-mlogloss:0.682470+0.026049 
## [69] train-mlogloss:0.199226+0.004341    test-mlogloss:0.683691+0.026058 
## [70] train-mlogloss:0.196708+0.004234    test-mlogloss:0.685125+0.026354 
## [71] train-mlogloss:0.194252+0.004065    test-mlogloss:0.688791+0.028106 
## [72] train-mlogloss:0.191544+0.003973    test-mlogloss:0.690908+0.029174 
## [73] train-mlogloss:0.188961+0.003727    test-mlogloss:0.692872+0.029976 
## [74] train-mlogloss:0.186803+0.003794    test-mlogloss:0.694268+0.029001 
## [75] train-mlogloss:0.184798+0.003461    test-mlogloss:0.695953+0.029083 
## [76] train-mlogloss:0.182802+0.003626    test-mlogloss:0.698405+0.030151 
## [77] train-mlogloss:0.180296+0.004066    test-mlogloss:0.699910+0.029820 
## [78] train-mlogloss:0.177974+0.004094    test-mlogloss:0.702576+0.027857 
## [79] train-mlogloss:0.175604+0.003973    test-mlogloss:0.703032+0.027136 
## [80] train-mlogloss:0.173459+0.004130    test-mlogloss:0.705359+0.027131 
## [81] train-mlogloss:0.171815+0.004061    test-mlogloss:0.706337+0.028204 
## [82] train-mlogloss:0.169896+0.003978    test-mlogloss:0.709387+0.028776 
## [83] train-mlogloss:0.167497+0.004109    test-mlogloss:0.712078+0.030555 
## [84] train-mlogloss:0.165721+0.004224    test-mlogloss:0.713289+0.031027 
## [85] train-mlogloss:0.164007+0.004352    test-mlogloss:0.714269+0.031119 
## [86] train-mlogloss:0.161684+0.003982    test-mlogloss:0.717145+0.031638 
## [87] train-mlogloss:0.159910+0.003989    test-mlogloss:0.718569+0.031820 
## [88] train-mlogloss:0.158064+0.003683    test-mlogloss:0.720388+0.032196 
## [89] train-mlogloss:0.156050+0.003868    test-mlogloss:0.722788+0.032649 
## [90] train-mlogloss:0.153909+0.003543    test-mlogloss:0.725218+0.033590 
## [91] train-mlogloss:0.151747+0.003604    test-mlogloss:0.727318+0.034223 
## [92] train-mlogloss:0.149879+0.003513    test-mlogloss:0.729861+0.035147 
## [93] train-mlogloss:0.147864+0.003363    test-mlogloss:0.731084+0.035737 
## [94] train-mlogloss:0.145770+0.003069    test-mlogloss:0.732531+0.035284 
## [95] train-mlogloss:0.143666+0.002841    test-mlogloss:0.735652+0.036010 
## [96] train-mlogloss:0.141652+0.002517    test-mlogloss:0.737479+0.036155 
## [97] train-mlogloss:0.139853+0.002455    test-mlogloss:0.738776+0.036439 
## [98] train-mlogloss:0.138085+0.002387    test-mlogloss:0.739663+0.036950 
## [99] train-mlogloss:0.136478+0.002442    test-mlogloss:0.740315+0.037039 
## [100]    train-mlogloss:0.134886+0.002596    test-mlogloss:0.741402+0.038941 
## [101]    train-mlogloss:0.133326+0.002994    test-mlogloss:0.742904+0.038560 
## [102]    train-mlogloss:0.131752+0.002987    test-mlogloss:0.743964+0.038177 
## [103]    train-mlogloss:0.130016+0.003001    test-mlogloss:0.746672+0.038007 
## [104]    train-mlogloss:0.128615+0.002881    test-mlogloss:0.747613+0.038722 
## [105]    train-mlogloss:0.127178+0.003200    test-mlogloss:0.749374+0.039246 
## [106]    train-mlogloss:0.125809+0.002770    test-mlogloss:0.751393+0.040182 
## [107]    train-mlogloss:0.124270+0.002599    test-mlogloss:0.753421+0.040672 
## [108]    train-mlogloss:0.122637+0.002440    test-mlogloss:0.755893+0.039354 
## [109]    train-mlogloss:0.121197+0.002261    test-mlogloss:0.756935+0.040068 
## [110]    train-mlogloss:0.119994+0.002394    test-mlogloss:0.757595+0.040342 
## [111]    train-mlogloss:0.118491+0.002318    test-mlogloss:0.759795+0.040908 
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## [113]    train-mlogloss:0.115418+0.001459    test-mlogloss:0.764770+0.040045 
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## [389]    train-mlogloss:0.014706+0.000196    test-mlogloss:1.058988+0.046596 
## [390]    train-mlogloss:0.014633+0.000202    test-mlogloss:1.059484+0.046611 
## [391]    train-mlogloss:0.014562+0.000199    test-mlogloss:1.060416+0.046765 
## [392]    train-mlogloss:0.014497+0.000198    test-mlogloss:1.061106+0.046643 
## [393]    train-mlogloss:0.014443+0.000193    test-mlogloss:1.061529+0.046179 
## [394]    train-mlogloss:0.014381+0.000198    test-mlogloss:1.062820+0.047123 
## [395]    train-mlogloss:0.014314+0.000199    test-mlogloss:1.064222+0.047362 
## [396]    train-mlogloss:0.014249+0.000196    test-mlogloss:1.064640+0.047329 
## [397]    train-mlogloss:0.014197+0.000200    test-mlogloss:1.064865+0.047959 
## [398]    train-mlogloss:0.014138+0.000203    test-mlogloss:1.066515+0.047613 
## [399]    train-mlogloss:0.014073+0.000198    test-mlogloss:1.066927+0.047715 
## [400]    train-mlogloss:0.014010+0.000195    test-mlogloss:1.067388+0.047546 
## [401]    train-mlogloss:0.013956+0.000203    test-mlogloss:1.068175+0.046833 
## [402]    train-mlogloss:0.013881+0.000198    test-mlogloss:1.068961+0.047073 
## [403]    train-mlogloss:0.013811+0.000209    test-mlogloss:1.070095+0.046996 
## [404]    train-mlogloss:0.013768+0.000208    test-mlogloss:1.070529+0.047058 
## [405]    train-mlogloss:0.013710+0.000209    test-mlogloss:1.071168+0.046885 
## [406]    train-mlogloss:0.013661+0.000213    test-mlogloss:1.071814+0.046597 
## [407]    train-mlogloss:0.013606+0.000204    test-mlogloss:1.071796+0.046816 
## [408]    train-mlogloss:0.013551+0.000207    test-mlogloss:1.072891+0.047445 
## [409]    train-mlogloss:0.013481+0.000220    test-mlogloss:1.074029+0.047220 
## [410]    train-mlogloss:0.013426+0.000227    test-mlogloss:1.074744+0.047239 
## [411]    train-mlogloss:0.013382+0.000221    test-mlogloss:1.075451+0.047055 
## [412]    train-mlogloss:0.013326+0.000209    test-mlogloss:1.076704+0.047102 
## [413]    train-mlogloss:0.013273+0.000196    test-mlogloss:1.077324+0.047732 
## [414]    train-mlogloss:0.013217+0.000196    test-mlogloss:1.078052+0.047742 
## [415]    train-mlogloss:0.013167+0.000197    test-mlogloss:1.077878+0.048079 
## [416]    train-mlogloss:0.013114+0.000195    test-mlogloss:1.078802+0.047748 
## [417]    train-mlogloss:0.013071+0.000185    test-mlogloss:1.080163+0.048412 
## [418]    train-mlogloss:0.013023+0.000177    test-mlogloss:1.081811+0.048397 
## [419]    train-mlogloss:0.012967+0.000194    test-mlogloss:1.082474+0.048653 
## [420]    train-mlogloss:0.012919+0.000187    test-mlogloss:1.082919+0.048578 
## [421]    train-mlogloss:0.012872+0.000194    test-mlogloss:1.083521+0.049355 
## [422]    train-mlogloss:0.012825+0.000179    test-mlogloss:1.084072+0.049322 
## [423]    train-mlogloss:0.012782+0.000182    test-mlogloss:1.085096+0.049538 
## [424]    train-mlogloss:0.012744+0.000182    test-mlogloss:1.085464+0.049501 
## [425]    train-mlogloss:0.012700+0.000174    test-mlogloss:1.085883+0.049012 
## [426]    train-mlogloss:0.012651+0.000178    test-mlogloss:1.086034+0.049181 
## [427]    train-mlogloss:0.012590+0.000173    test-mlogloss:1.086763+0.049040 
## [428]    train-mlogloss:0.012543+0.000165    test-mlogloss:1.087242+0.048869 
## [429]    train-mlogloss:0.012491+0.000166    test-mlogloss:1.088266+0.049319 
## [430]    train-mlogloss:0.012441+0.000155    test-mlogloss:1.089049+0.049000 
## [431]    train-mlogloss:0.012398+0.000147    test-mlogloss:1.089516+0.048848 
## [432]    train-mlogloss:0.012358+0.000140    test-mlogloss:1.089442+0.048293 
## [433]    train-mlogloss:0.012308+0.000123    test-mlogloss:1.090598+0.048562 
## [434]    train-mlogloss:0.012271+0.000118    test-mlogloss:1.090499+0.048597 
## [435]    train-mlogloss:0.012231+0.000127    test-mlogloss:1.092446+0.049950 
## [436]    train-mlogloss:0.012186+0.000131    test-mlogloss:1.092611+0.050185 
## [437]    train-mlogloss:0.012138+0.000129    test-mlogloss:1.092856+0.049752 
## [438]    train-mlogloss:0.012098+0.000139    test-mlogloss:1.093478+0.050163 
## [439]    train-mlogloss:0.012058+0.000139    test-mlogloss:1.093490+0.049997 
## [440]    train-mlogloss:0.012016+0.000150    test-mlogloss:1.094572+0.050394 
## [441]    train-mlogloss:0.011975+0.000158    test-mlogloss:1.095246+0.050328 
## [442]    train-mlogloss:0.011935+0.000155    test-mlogloss:1.095833+0.049763 
## [443]    train-mlogloss:0.011897+0.000147    test-mlogloss:1.096076+0.049869 
## [444]    train-mlogloss:0.011855+0.000153    test-mlogloss:1.096655+0.050174 
## [445]    train-mlogloss:0.011816+0.000159    test-mlogloss:1.097792+0.050679 
## [446]    train-mlogloss:0.011757+0.000157    test-mlogloss:1.098807+0.050743 
## [447]    train-mlogloss:0.011717+0.000162    test-mlogloss:1.098840+0.050789 
## [448]    train-mlogloss:0.011674+0.000158    test-mlogloss:1.099279+0.050181 
## [449]    train-mlogloss:0.011635+0.000150    test-mlogloss:1.100138+0.050284 
## [450]    train-mlogloss:0.011596+0.000150    test-mlogloss:1.100060+0.050294 
## [451]    train-mlogloss:0.011566+0.000147    test-mlogloss:1.100734+0.050557 
## [452]    train-mlogloss:0.011525+0.000149    test-mlogloss:1.101205+0.050516 
## [453]    train-mlogloss:0.011483+0.000149    test-mlogloss:1.101935+0.050291 
## [454]    train-mlogloss:0.011449+0.000149    test-mlogloss:1.103095+0.050290 
## [455]    train-mlogloss:0.011416+0.000155    test-mlogloss:1.103695+0.050250 
## [456]    train-mlogloss:0.011381+0.000150    test-mlogloss:1.103870+0.049745 
## [457]    train-mlogloss:0.011342+0.000147    test-mlogloss:1.104998+0.050109 
## [458]    train-mlogloss:0.011302+0.000153    test-mlogloss:1.105599+0.050049 
## [459]    train-mlogloss:0.011259+0.000156    test-mlogloss:1.106212+0.050084 
## [460]    train-mlogloss:0.011226+0.000168    test-mlogloss:1.107263+0.050530 
## [461]    train-mlogloss:0.011195+0.000171    test-mlogloss:1.107116+0.051249 
## [462]    train-mlogloss:0.011161+0.000172    test-mlogloss:1.107472+0.052067 
## [463]    train-mlogloss:0.011126+0.000165    test-mlogloss:1.108384+0.051408 
## [464]    train-mlogloss:0.011087+0.000170    test-mlogloss:1.109124+0.051089 
## [465]    train-mlogloss:0.011043+0.000172    test-mlogloss:1.109815+0.051171 
## [466]    train-mlogloss:0.010997+0.000184    test-mlogloss:1.111027+0.051373 
## [467]    train-mlogloss:0.010965+0.000193    test-mlogloss:1.111726+0.051022 
## [468]    train-mlogloss:0.010932+0.000199    test-mlogloss:1.112615+0.051134 
## [469]    train-mlogloss:0.010897+0.000191    test-mlogloss:1.113094+0.050416 
## [470]    train-mlogloss:0.010868+0.000185    test-mlogloss:1.113757+0.050425 
## [471]    train-mlogloss:0.010835+0.000178    test-mlogloss:1.114406+0.049974 
## [472]    train-mlogloss:0.010805+0.000180    test-mlogloss:1.114443+0.049911 
## [473]    train-mlogloss:0.010773+0.000180    test-mlogloss:1.114444+0.050051 
## [474]    train-mlogloss:0.010741+0.000178    test-mlogloss:1.114929+0.049789 
## [475]    train-mlogloss:0.010712+0.000178    test-mlogloss:1.115486+0.050165 
## [476]    train-mlogloss:0.010676+0.000174    test-mlogloss:1.116786+0.050367 
## [477]    train-mlogloss:0.010641+0.000177    test-mlogloss:1.116846+0.050745 
## [478]    train-mlogloss:0.010605+0.000178    test-mlogloss:1.117190+0.050442 
## [479]    train-mlogloss:0.010570+0.000173    test-mlogloss:1.118621+0.050918 
## [480]    train-mlogloss:0.010539+0.000182    test-mlogloss:1.118990+0.051243 
## [481]    train-mlogloss:0.010516+0.000182    test-mlogloss:1.119048+0.050908 
## [482]    train-mlogloss:0.010482+0.000184    test-mlogloss:1.119278+0.051633 
## [483]    train-mlogloss:0.010449+0.000187    test-mlogloss:1.119349+0.051397 
## [484]    train-mlogloss:0.010418+0.000181    test-mlogloss:1.120492+0.051996 
## [485]    train-mlogloss:0.010381+0.000176    test-mlogloss:1.120778+0.051868 
## [486]    train-mlogloss:0.010348+0.000173    test-mlogloss:1.121494+0.052052 
## [487]    train-mlogloss:0.010323+0.000172    test-mlogloss:1.122096+0.052552 
## [488]    train-mlogloss:0.010289+0.000169    test-mlogloss:1.122668+0.052605 
## [489]    train-mlogloss:0.010261+0.000160    test-mlogloss:1.123341+0.052269 
## [490]    train-mlogloss:0.010227+0.000162    test-mlogloss:1.123247+0.052023 
## [491]    train-mlogloss:0.010198+0.000164    test-mlogloss:1.123403+0.051735 
## [492]    train-mlogloss:0.010162+0.000157    test-mlogloss:1.124330+0.051376 
## [493]    train-mlogloss:0.010131+0.000153    test-mlogloss:1.125993+0.051468 
## [494]    train-mlogloss:0.010099+0.000154    test-mlogloss:1.126326+0.051736 
## [495]    train-mlogloss:0.010072+0.000154    test-mlogloss:1.126141+0.051284 
## [496]    train-mlogloss:0.010042+0.000155    test-mlogloss:1.126625+0.051059 
## [497]    train-mlogloss:0.010006+0.000152    test-mlogloss:1.127667+0.051296 
## [498]    train-mlogloss:0.009971+0.000150    test-mlogloss:1.128285+0.051829 
## [499]    train-mlogloss:0.009941+0.000155    test-mlogloss:1.128789+0.051411 
## [500]    train-mlogloss:0.009915+0.000161    test-mlogloss:1.129264+0.051846 
## [1]  train-mlogloss:0.432740+0.003056    test-mlogloss:0.590621+0.005255 
## [2]  train-mlogloss:0.325320+0.002946    test-mlogloss:0.594357+0.007085 
## [3]  train-mlogloss:0.260389+0.004403    test-mlogloss:0.609761+0.008919 
## [4]  train-mlogloss:0.214074+0.006820    test-mlogloss:0.628453+0.010854 
## [5]  train-mlogloss:0.181292+0.007119    test-mlogloss:0.643140+0.010815 
## [6]  train-mlogloss:0.160230+0.005259    test-mlogloss:0.653385+0.012189 
## [7]  train-mlogloss:0.140587+0.005775    test-mlogloss:0.667327+0.010197 
## [8]  train-mlogloss:0.124789+0.004415    test-mlogloss:0.680975+0.011128 
## [9]  train-mlogloss:0.113335+0.001678    test-mlogloss:0.689672+0.009301 
## [10] train-mlogloss:0.102228+0.002367    test-mlogloss:0.699782+0.011598 
## [11] train-mlogloss:0.092357+0.001915    test-mlogloss:0.707968+0.012673 
## [12] train-mlogloss:0.084690+0.002632    test-mlogloss:0.712286+0.011686 
## [13] train-mlogloss:0.077828+0.003242    test-mlogloss:0.719308+0.013773 
## [14] train-mlogloss:0.071240+0.002659    test-mlogloss:0.727539+0.011197 
## [15] train-mlogloss:0.065891+0.002422    test-mlogloss:0.735770+0.010606 
## [16] train-mlogloss:0.061422+0.002273    test-mlogloss:0.742384+0.009724 
## [17] train-mlogloss:0.057275+0.002057    test-mlogloss:0.749447+0.009720 
## [18] train-mlogloss:0.053924+0.001866    test-mlogloss:0.755893+0.009680 
## [19] train-mlogloss:0.051075+0.002038    test-mlogloss:0.762487+0.010151 
## [20] train-mlogloss:0.048261+0.001808    test-mlogloss:0.765865+0.011950 
## [21] train-mlogloss:0.045740+0.001689    test-mlogloss:0.769836+0.010916 
## [22] train-mlogloss:0.043532+0.001577    test-mlogloss:0.775290+0.011370 
## [23] train-mlogloss:0.041515+0.001394    test-mlogloss:0.779078+0.010814 
## [24] train-mlogloss:0.039589+0.001245    test-mlogloss:0.781550+0.010858 
## [25] train-mlogloss:0.037973+0.001157    test-mlogloss:0.785494+0.011062 
## [26] train-mlogloss:0.036391+0.001031    test-mlogloss:0.790082+0.010711 
## [27] train-mlogloss:0.034961+0.000901    test-mlogloss:0.794238+0.009384 
## [28] train-mlogloss:0.033703+0.000861    test-mlogloss:0.798563+0.010418 
## [29] train-mlogloss:0.032563+0.000788    test-mlogloss:0.802879+0.012247 
## [30] train-mlogloss:0.031462+0.000659    test-mlogloss:0.807009+0.011363 
## [31] train-mlogloss:0.030389+0.000618    test-mlogloss:0.810818+0.010797 
## [32] train-mlogloss:0.029424+0.000631    test-mlogloss:0.815064+0.011048 
## [33] train-mlogloss:0.028538+0.000607    test-mlogloss:0.819966+0.010794 
## [34] train-mlogloss:0.027725+0.000571    test-mlogloss:0.822316+0.010541 
## [35] train-mlogloss:0.026914+0.000577    test-mlogloss:0.824596+0.012189 
## [36] train-mlogloss:0.026164+0.000533    test-mlogloss:0.827976+0.012539 
## [37] train-mlogloss:0.025507+0.000521    test-mlogloss:0.831032+0.013359 
## [38] train-mlogloss:0.024878+0.000504    test-mlogloss:0.833115+0.012546 
## [39] train-mlogloss:0.024251+0.000501    test-mlogloss:0.835146+0.012509 
## [40] train-mlogloss:0.023700+0.000453    test-mlogloss:0.838301+0.011321 
## [41] train-mlogloss:0.023142+0.000457    test-mlogloss:0.841670+0.010741 
## [42] train-mlogloss:0.022580+0.000425    test-mlogloss:0.845330+0.012662 
## [43] train-mlogloss:0.022115+0.000401    test-mlogloss:0.847444+0.013358 
## [44] train-mlogloss:0.021636+0.000380    test-mlogloss:0.850986+0.013379 
## [45] train-mlogloss:0.021185+0.000348    test-mlogloss:0.853810+0.013189 
## [46] train-mlogloss:0.020736+0.000316    test-mlogloss:0.857867+0.014498 
## [47] train-mlogloss:0.020333+0.000287    test-mlogloss:0.858727+0.013637 
## [48] train-mlogloss:0.019944+0.000263    test-mlogloss:0.861283+0.012859 
## [49] train-mlogloss:0.019570+0.000244    test-mlogloss:0.863099+0.012053 
## [50] train-mlogloss:0.019211+0.000241    test-mlogloss:0.865117+0.012888 
## [51] train-mlogloss:0.018875+0.000240    test-mlogloss:0.867369+0.012877 
## [52] train-mlogloss:0.018548+0.000236    test-mlogloss:0.869269+0.013264 
## [53] train-mlogloss:0.018246+0.000224    test-mlogloss:0.871867+0.012236 
## [54] train-mlogloss:0.017940+0.000222    test-mlogloss:0.875023+0.012108 
## [55] train-mlogloss:0.017650+0.000185    test-mlogloss:0.876427+0.012808 
## [56] train-mlogloss:0.017404+0.000178    test-mlogloss:0.877714+0.013239 
## [57] train-mlogloss:0.017134+0.000159    test-mlogloss:0.879303+0.013315 
## [58] train-mlogloss:0.016883+0.000147    test-mlogloss:0.880896+0.014849 
## [59] train-mlogloss:0.016649+0.000139    test-mlogloss:0.882850+0.015115 
## [60] train-mlogloss:0.016420+0.000132    test-mlogloss:0.885110+0.016275 
## [61] train-mlogloss:0.016187+0.000140    test-mlogloss:0.886620+0.015695 
## [62] train-mlogloss:0.015966+0.000117    test-mlogloss:0.888019+0.015573 
## [63] train-mlogloss:0.015759+0.000118    test-mlogloss:0.890685+0.015823 
## [64] train-mlogloss:0.015561+0.000118    test-mlogloss:0.892911+0.016886 
## [65] train-mlogloss:0.015366+0.000104    test-mlogloss:0.894481+0.017234 
## [66] train-mlogloss:0.015167+0.000102    test-mlogloss:0.895854+0.017616 
## [67] train-mlogloss:0.014976+0.000095    test-mlogloss:0.898546+0.018027 
## [68] train-mlogloss:0.014796+0.000092    test-mlogloss:0.900586+0.018514 
## [69] train-mlogloss:0.014631+0.000098    test-mlogloss:0.902570+0.019505 
## [70] train-mlogloss:0.014463+0.000106    test-mlogloss:0.903829+0.019631 
## [71] train-mlogloss:0.014294+0.000110    test-mlogloss:0.905363+0.019515 
## [72] train-mlogloss:0.014125+0.000107    test-mlogloss:0.906859+0.019677 
## [73] train-mlogloss:0.013952+0.000103    test-mlogloss:0.908371+0.019117 
## [74] train-mlogloss:0.013804+0.000106    test-mlogloss:0.909463+0.019920 
## [75] train-mlogloss:0.013655+0.000100    test-mlogloss:0.911737+0.019867 
## [76] train-mlogloss:0.013513+0.000103    test-mlogloss:0.912612+0.020232 
## [77] train-mlogloss:0.013367+0.000102    test-mlogloss:0.915140+0.019726 
## [78] train-mlogloss:0.013212+0.000103    test-mlogloss:0.917866+0.019145 
## [79] train-mlogloss:0.013080+0.000112    test-mlogloss:0.919346+0.019050 
## [80] train-mlogloss:0.012945+0.000111    test-mlogloss:0.920739+0.019948 
## [81] train-mlogloss:0.012816+0.000120    test-mlogloss:0.921732+0.019939 
## [82] train-mlogloss:0.012690+0.000120    test-mlogloss:0.922931+0.019562 
## [83] train-mlogloss:0.012565+0.000125    test-mlogloss:0.924799+0.019942 
## [84] train-mlogloss:0.012453+0.000120    test-mlogloss:0.925011+0.019869 
## [85] train-mlogloss:0.012342+0.000116    test-mlogloss:0.927028+0.019670 
## [86] train-mlogloss:0.012229+0.000112    test-mlogloss:0.928302+0.019725 
## [87] train-mlogloss:0.012120+0.000098    test-mlogloss:0.930971+0.020962 
## [88] train-mlogloss:0.012012+0.000097    test-mlogloss:0.932047+0.020242 
## [89] train-mlogloss:0.011905+0.000093    test-mlogloss:0.933748+0.020169 
## [90] train-mlogloss:0.011800+0.000091    test-mlogloss:0.934924+0.020314 
## [91] train-mlogloss:0.011696+0.000087    test-mlogloss:0.934898+0.019778 
## [92] train-mlogloss:0.011585+0.000093    test-mlogloss:0.936203+0.020052 
## [93] train-mlogloss:0.011495+0.000095    test-mlogloss:0.937213+0.020389 
## [94] train-mlogloss:0.011393+0.000092    test-mlogloss:0.939436+0.018940 
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## [97] train-mlogloss:0.011123+0.000090    test-mlogloss:0.942781+0.020057 
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## [7]  train-mlogloss:0.456197+0.001899    test-mlogloss:0.561670+0.004764 
## [8]  train-mlogloss:0.448644+0.001904    test-mlogloss:0.561820+0.004882 
## [9]  train-mlogloss:0.440598+0.003702    test-mlogloss:0.564887+0.005040 
## [10] train-mlogloss:0.433489+0.005298    test-mlogloss:0.567417+0.004860 
## [11] train-mlogloss:0.425976+0.005960    test-mlogloss:0.571283+0.005105 
## [12] train-mlogloss:0.418490+0.005470    test-mlogloss:0.575105+0.005117 
## [13] train-mlogloss:0.409089+0.004950    test-mlogloss:0.581769+0.005020 
## [14] train-mlogloss:0.400889+0.003857    test-mlogloss:0.584958+0.006488 
## [15] train-mlogloss:0.392963+0.002447    test-mlogloss:0.587998+0.005265 
## [16] train-mlogloss:0.385169+0.001909    test-mlogloss:0.592479+0.005747 
## [17] train-mlogloss:0.378312+0.002821    test-mlogloss:0.596345+0.006586 
## [18] train-mlogloss:0.371536+0.002623    test-mlogloss:0.600969+0.006513 
## [19] train-mlogloss:0.364543+0.002424    test-mlogloss:0.603773+0.006866 
## [20] train-mlogloss:0.357843+0.002020    test-mlogloss:0.608851+0.006959 
## [21] train-mlogloss:0.351700+0.002384    test-mlogloss:0.612685+0.007684 
## [22] train-mlogloss:0.346195+0.001910    test-mlogloss:0.614781+0.007747 
## [23] train-mlogloss:0.341240+0.001750    test-mlogloss:0.616819+0.008094 
## [24] train-mlogloss:0.336795+0.001587    test-mlogloss:0.620023+0.008197 
## [25] train-mlogloss:0.330453+0.001781    test-mlogloss:0.620823+0.008413 
## [26] train-mlogloss:0.324742+0.002276    test-mlogloss:0.623895+0.007265 
## [27] train-mlogloss:0.318754+0.001125    test-mlogloss:0.627652+0.005731 
## [28] train-mlogloss:0.312651+0.001305    test-mlogloss:0.629811+0.006831 
## [29] train-mlogloss:0.308221+0.002065    test-mlogloss:0.633268+0.007801 
## [30] train-mlogloss:0.302311+0.001949    test-mlogloss:0.637831+0.007296 
## [31] train-mlogloss:0.296632+0.002237    test-mlogloss:0.642004+0.009421 
## [32] train-mlogloss:0.290885+0.002188    test-mlogloss:0.645553+0.008112 
## [33] train-mlogloss:0.285563+0.002336    test-mlogloss:0.649760+0.009062 
## [34] train-mlogloss:0.280359+0.001950    test-mlogloss:0.654486+0.007439 
## [35] train-mlogloss:0.275296+0.001479    test-mlogloss:0.656585+0.006443 
## [36] train-mlogloss:0.271506+0.001706    test-mlogloss:0.661336+0.007581 
## [37] train-mlogloss:0.267494+0.001162    test-mlogloss:0.664862+0.006572 
## [38] train-mlogloss:0.262698+0.001831    test-mlogloss:0.667731+0.006850 
## [39] train-mlogloss:0.258686+0.001923    test-mlogloss:0.669172+0.006148 
## [40] train-mlogloss:0.253930+0.002311    test-mlogloss:0.672063+0.005736 
## [41] train-mlogloss:0.250170+0.002062    test-mlogloss:0.674310+0.005514 
## [42] train-mlogloss:0.245476+0.002148    test-mlogloss:0.677154+0.006033 
## [43] train-mlogloss:0.241272+0.002266    test-mlogloss:0.678263+0.007267 
## [44] train-mlogloss:0.237327+0.002269    test-mlogloss:0.679896+0.006928 
## [45] train-mlogloss:0.232829+0.001833    test-mlogloss:0.684069+0.008485 
## [46] train-mlogloss:0.228415+0.002302    test-mlogloss:0.688871+0.010200 
## [47] train-mlogloss:0.224071+0.001936    test-mlogloss:0.692064+0.009543 
## [48] train-mlogloss:0.220723+0.002050    test-mlogloss:0.695462+0.009446 
## [49] train-mlogloss:0.216697+0.002347    test-mlogloss:0.697135+0.008399 
## [50] train-mlogloss:0.213078+0.002071    test-mlogloss:0.699742+0.008844 
## [51] train-mlogloss:0.209339+0.003022    test-mlogloss:0.701870+0.010698 
## [52] train-mlogloss:0.205646+0.002732    test-mlogloss:0.704695+0.009193 
## [53] train-mlogloss:0.202055+0.003317    test-mlogloss:0.708003+0.010468 
## [54] train-mlogloss:0.198697+0.003736    test-mlogloss:0.710584+0.011182 
## [55] train-mlogloss:0.195519+0.003731    test-mlogloss:0.713831+0.010109 
## [56] train-mlogloss:0.192610+0.004019    test-mlogloss:0.716068+0.009306 
## [57] train-mlogloss:0.189486+0.003796    test-mlogloss:0.719411+0.012397 
## [58] train-mlogloss:0.186294+0.003612    test-mlogloss:0.721770+0.012251 
## [59] train-mlogloss:0.183128+0.003097    test-mlogloss:0.722709+0.011490 
## [60] train-mlogloss:0.179905+0.002933    test-mlogloss:0.726015+0.011406 
## [61] train-mlogloss:0.176654+0.003095    test-mlogloss:0.726932+0.010509 
## [62] train-mlogloss:0.173550+0.003308    test-mlogloss:0.730106+0.010753 
## [63] train-mlogloss:0.170553+0.003295    test-mlogloss:0.732799+0.009828 
## [64] train-mlogloss:0.167681+0.002965    test-mlogloss:0.732207+0.010482 
## [65] train-mlogloss:0.164782+0.002638    test-mlogloss:0.735167+0.010197 
## [66] train-mlogloss:0.162144+0.002105    test-mlogloss:0.735723+0.010270 
## [67] train-mlogloss:0.158917+0.002399    test-mlogloss:0.740438+0.011726 
## [68] train-mlogloss:0.156310+0.002380    test-mlogloss:0.742667+0.009251 
## [69] train-mlogloss:0.153983+0.002474    test-mlogloss:0.746204+0.007160 
## [70] train-mlogloss:0.151412+0.002780    test-mlogloss:0.748372+0.006359 
## [71] train-mlogloss:0.148945+0.003203    test-mlogloss:0.751328+0.008565 
## [72] train-mlogloss:0.146644+0.003256    test-mlogloss:0.754010+0.008951 
## [73] train-mlogloss:0.144520+0.003397    test-mlogloss:0.755551+0.009745 
## [74] train-mlogloss:0.141892+0.003170    test-mlogloss:0.758917+0.011341 
## [75] train-mlogloss:0.139968+0.002918    test-mlogloss:0.761779+0.011079 
## [76] train-mlogloss:0.138132+0.002555    test-mlogloss:0.763801+0.011942 
## [77] train-mlogloss:0.136223+0.002768    test-mlogloss:0.765642+0.011187 
## [78] train-mlogloss:0.133705+0.002568    test-mlogloss:0.769063+0.012460 
## [79] train-mlogloss:0.131733+0.002929    test-mlogloss:0.771568+0.013441 
## [80] train-mlogloss:0.129273+0.002842    test-mlogloss:0.774556+0.012940 
## [81] train-mlogloss:0.127326+0.002998    test-mlogloss:0.777660+0.011682 
## [82] train-mlogloss:0.125412+0.002961    test-mlogloss:0.780903+0.008853 
## [83] train-mlogloss:0.123452+0.003061    test-mlogloss:0.784788+0.007425 
## [84] train-mlogloss:0.121770+0.003230    test-mlogloss:0.785378+0.007551 
## [85] train-mlogloss:0.119617+0.003082    test-mlogloss:0.789424+0.007997 
## [86] train-mlogloss:0.117263+0.003215    test-mlogloss:0.791252+0.008870 
## [87] train-mlogloss:0.115449+0.003026    test-mlogloss:0.793400+0.007393 
## [88] train-mlogloss:0.113676+0.002916    test-mlogloss:0.795938+0.007161 
## [89] train-mlogloss:0.112312+0.003067    test-mlogloss:0.798131+0.006265 
## [90] train-mlogloss:0.110469+0.003261    test-mlogloss:0.799465+0.005698 
## [91] train-mlogloss:0.109020+0.003076    test-mlogloss:0.801012+0.005521 
## [92] train-mlogloss:0.107325+0.002926    test-mlogloss:0.804249+0.005172 
## [93] train-mlogloss:0.105809+0.002829    test-mlogloss:0.806331+0.005282 
## [94] train-mlogloss:0.104164+0.002520    test-mlogloss:0.807497+0.005355 
## [95] train-mlogloss:0.102914+0.002163    test-mlogloss:0.810753+0.005560 
## [96] train-mlogloss:0.101637+0.002334    test-mlogloss:0.813003+0.006460 
## [97] train-mlogloss:0.100367+0.002409    test-mlogloss:0.813357+0.005112 
## [98] train-mlogloss:0.099157+0.002306    test-mlogloss:0.815624+0.006527 
## [99] train-mlogloss:0.097844+0.002341    test-mlogloss:0.817825+0.005285 
## [100]    train-mlogloss:0.095992+0.002431    test-mlogloss:0.818411+0.004770 
## [101]    train-mlogloss:0.094769+0.002142    test-mlogloss:0.821077+0.004964 
## [102]    train-mlogloss:0.093492+0.002306    test-mlogloss:0.821426+0.006942 
## [103]    train-mlogloss:0.092100+0.002652    test-mlogloss:0.822915+0.007131 
## [104]    train-mlogloss:0.090647+0.002428    test-mlogloss:0.825139+0.005954 
## [105]    train-mlogloss:0.088944+0.002534    test-mlogloss:0.827983+0.006013 
## [106]    train-mlogloss:0.087777+0.002578    test-mlogloss:0.829233+0.005093 
## [107]    train-mlogloss:0.086631+0.002417    test-mlogloss:0.830977+0.006035 
## [108]    train-mlogloss:0.085185+0.002371    test-mlogloss:0.834892+0.007103 
## [109]    train-mlogloss:0.083926+0.002372    test-mlogloss:0.836143+0.008643 
## [110]    train-mlogloss:0.082854+0.002320    test-mlogloss:0.836411+0.009200 
## [111]    train-mlogloss:0.081744+0.002365    test-mlogloss:0.836926+0.009056 
## [112]    train-mlogloss:0.080541+0.002427    test-mlogloss:0.839089+0.008548 
## [113]    train-mlogloss:0.079253+0.002178    test-mlogloss:0.841175+0.010256 
## [114]    train-mlogloss:0.078309+0.002018    test-mlogloss:0.842710+0.009653 
## [115]    train-mlogloss:0.077119+0.001926    test-mlogloss:0.845322+0.008964 
## [116]    train-mlogloss:0.076091+0.001782    test-mlogloss:0.846021+0.009130 
## [117]    train-mlogloss:0.074958+0.001509    test-mlogloss:0.848478+0.007615 
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## [417]    train-mlogloss:0.008954+0.000101    test-mlogloss:1.168801+0.015498 
## [418]    train-mlogloss:0.008923+0.000108    test-mlogloss:1.168799+0.015211 
## [419]    train-mlogloss:0.008886+0.000105    test-mlogloss:1.169164+0.015214 
## [420]    train-mlogloss:0.008860+0.000109    test-mlogloss:1.170386+0.015571 
## [421]    train-mlogloss:0.008822+0.000107    test-mlogloss:1.170206+0.014803 
## [422]    train-mlogloss:0.008790+0.000104    test-mlogloss:1.170866+0.015577 
## [423]    train-mlogloss:0.008759+0.000104    test-mlogloss:1.171296+0.015630 
## [424]    train-mlogloss:0.008733+0.000100    test-mlogloss:1.172085+0.015854 
## [425]    train-mlogloss:0.008711+0.000098    test-mlogloss:1.172449+0.016314 
## [426]    train-mlogloss:0.008678+0.000097    test-mlogloss:1.173209+0.016640 
## [427]    train-mlogloss:0.008652+0.000090    test-mlogloss:1.173575+0.017743 
## [428]    train-mlogloss:0.008627+0.000091    test-mlogloss:1.174453+0.017399 
## [429]    train-mlogloss:0.008606+0.000095    test-mlogloss:1.175550+0.017070 
## [430]    train-mlogloss:0.008578+0.000093    test-mlogloss:1.175169+0.017026 
## [431]    train-mlogloss:0.008547+0.000094    test-mlogloss:1.175161+0.016350 
## [432]    train-mlogloss:0.008515+0.000096    test-mlogloss:1.176432+0.017327 
## [433]    train-mlogloss:0.008488+0.000089    test-mlogloss:1.177169+0.017652 
## [434]    train-mlogloss:0.008465+0.000090    test-mlogloss:1.177508+0.017467 
## [435]    train-mlogloss:0.008437+0.000095    test-mlogloss:1.177468+0.017101 
## [436]    train-mlogloss:0.008411+0.000094    test-mlogloss:1.177256+0.016860 
## [437]    train-mlogloss:0.008381+0.000094    test-mlogloss:1.177767+0.016988 
## [438]    train-mlogloss:0.008355+0.000094    test-mlogloss:1.178152+0.016084 
## [439]    train-mlogloss:0.008333+0.000094    test-mlogloss:1.178202+0.016624 
## [440]    train-mlogloss:0.008304+0.000090    test-mlogloss:1.179002+0.016702 
## [441]    train-mlogloss:0.008281+0.000090    test-mlogloss:1.179983+0.016748 
## [442]    train-mlogloss:0.008255+0.000090    test-mlogloss:1.180367+0.016841 
## [443]    train-mlogloss:0.008235+0.000087    test-mlogloss:1.180783+0.017235 
## [444]    train-mlogloss:0.008212+0.000083    test-mlogloss:1.181180+0.017407 
## [445]    train-mlogloss:0.008190+0.000083    test-mlogloss:1.182025+0.016742 
## [446]    train-mlogloss:0.008164+0.000081    test-mlogloss:1.183061+0.017478 
## [447]    train-mlogloss:0.008136+0.000080    test-mlogloss:1.183123+0.017443 
## [448]    train-mlogloss:0.008112+0.000082    test-mlogloss:1.183314+0.016329 
## [449]    train-mlogloss:0.008092+0.000081    test-mlogloss:1.183432+0.016361 
## [450]    train-mlogloss:0.008062+0.000084    test-mlogloss:1.184395+0.017416 
## [451]    train-mlogloss:0.008035+0.000088    test-mlogloss:1.185101+0.017115 
## [452]    train-mlogloss:0.008008+0.000090    test-mlogloss:1.185218+0.017364 
## [453]    train-mlogloss:0.007989+0.000091    test-mlogloss:1.185576+0.016890 
## [454]    train-mlogloss:0.007964+0.000095    test-mlogloss:1.185685+0.017002 
## [455]    train-mlogloss:0.007940+0.000098    test-mlogloss:1.185988+0.017331 
## [456]    train-mlogloss:0.007921+0.000098    test-mlogloss:1.187043+0.017479 
## [457]    train-mlogloss:0.007895+0.000101    test-mlogloss:1.187100+0.018454 
## [458]    train-mlogloss:0.007873+0.000104    test-mlogloss:1.187475+0.017954 
## [459]    train-mlogloss:0.007849+0.000105    test-mlogloss:1.188408+0.017441 
## [460]    train-mlogloss:0.007823+0.000102    test-mlogloss:1.189150+0.017039 
## [461]    train-mlogloss:0.007803+0.000096    test-mlogloss:1.189736+0.016998 
## [462]    train-mlogloss:0.007778+0.000089    test-mlogloss:1.189737+0.016533 
## [463]    train-mlogloss:0.007751+0.000088    test-mlogloss:1.190457+0.017620 
## [464]    train-mlogloss:0.007735+0.000089    test-mlogloss:1.190824+0.017158 
## [465]    train-mlogloss:0.007710+0.000088    test-mlogloss:1.190623+0.017205 
## [466]    train-mlogloss:0.007686+0.000084    test-mlogloss:1.191005+0.016800 
## [467]    train-mlogloss:0.007659+0.000085    test-mlogloss:1.192299+0.017299 
## [468]    train-mlogloss:0.007632+0.000082    test-mlogloss:1.193082+0.017461 
## [469]    train-mlogloss:0.007608+0.000086    test-mlogloss:1.193417+0.017662 
## [470]    train-mlogloss:0.007581+0.000084    test-mlogloss:1.194506+0.017627 
## [471]    train-mlogloss:0.007557+0.000081    test-mlogloss:1.195261+0.017654 
## [472]    train-mlogloss:0.007538+0.000077    test-mlogloss:1.195484+0.017708 
## [473]    train-mlogloss:0.007514+0.000078    test-mlogloss:1.195878+0.017919 
## [474]    train-mlogloss:0.007495+0.000074    test-mlogloss:1.196055+0.017388 
## [475]    train-mlogloss:0.007474+0.000075    test-mlogloss:1.196030+0.017222 
## [476]    train-mlogloss:0.007452+0.000072    test-mlogloss:1.196088+0.017532 
## [477]    train-mlogloss:0.007434+0.000070    test-mlogloss:1.196562+0.017328 
## [478]    train-mlogloss:0.007410+0.000066    test-mlogloss:1.196543+0.017461 
## [479]    train-mlogloss:0.007390+0.000066    test-mlogloss:1.197025+0.017536 
## [480]    train-mlogloss:0.007376+0.000065    test-mlogloss:1.197419+0.017249 
## [481]    train-mlogloss:0.007349+0.000066    test-mlogloss:1.198307+0.018163 
## [482]    train-mlogloss:0.007331+0.000066    test-mlogloss:1.198719+0.019033 
## [483]    train-mlogloss:0.007314+0.000062    test-mlogloss:1.198358+0.018188 
## [484]    train-mlogloss:0.007294+0.000064    test-mlogloss:1.199092+0.018236 
## [485]    train-mlogloss:0.007279+0.000065    test-mlogloss:1.199583+0.018828 
## [486]    train-mlogloss:0.007257+0.000063    test-mlogloss:1.199702+0.018054 
## [487]    train-mlogloss:0.007239+0.000067    test-mlogloss:1.199576+0.017933 
## [488]    train-mlogloss:0.007217+0.000068    test-mlogloss:1.199956+0.017388 
## [489]    train-mlogloss:0.007198+0.000068    test-mlogloss:1.201107+0.018514 
## [490]    train-mlogloss:0.007175+0.000064    test-mlogloss:1.201504+0.018314 
## [491]    train-mlogloss:0.007155+0.000062    test-mlogloss:1.201701+0.017372 
## [492]    train-mlogloss:0.007136+0.000060    test-mlogloss:1.202355+0.018437 
## [493]    train-mlogloss:0.007115+0.000056    test-mlogloss:1.202693+0.018790 
## [494]    train-mlogloss:0.007094+0.000053    test-mlogloss:1.203483+0.019370 
## [495]    train-mlogloss:0.007073+0.000058    test-mlogloss:1.204358+0.018900 
## [496]    train-mlogloss:0.007058+0.000057    test-mlogloss:1.205421+0.018481 
## [497]    train-mlogloss:0.007036+0.000055    test-mlogloss:1.205150+0.018618 
## [498]    train-mlogloss:0.007018+0.000056    test-mlogloss:1.206518+0.018922 
## [499]    train-mlogloss:0.007003+0.000056    test-mlogloss:1.207450+0.018726 
## [500]    train-mlogloss:0.006984+0.000058    test-mlogloss:1.208506+0.018479 
## [1]  train-mlogloss:0.402949+0.003316    test-mlogloss:0.590631+0.005151 
## [2]  train-mlogloss:0.296645+0.001773    test-mlogloss:0.617976+0.009276 
## [3]  train-mlogloss:0.228952+0.002957    test-mlogloss:0.647920+0.015665 
## [4]  train-mlogloss:0.185706+0.002066    test-mlogloss:0.674465+0.021995 
## [5]  train-mlogloss:0.159085+0.003623    test-mlogloss:0.689700+0.022247 
## [6]  train-mlogloss:0.133433+0.004129    test-mlogloss:0.708472+0.021354 
## [7]  train-mlogloss:0.114977+0.003622    test-mlogloss:0.726383+0.023178 
## [8]  train-mlogloss:0.102597+0.005452    test-mlogloss:0.738810+0.020783 
## [9]  train-mlogloss:0.090659+0.005390    test-mlogloss:0.754456+0.023247 
## [10] train-mlogloss:0.079819+0.004087    test-mlogloss:0.767930+0.022158 
## [11] train-mlogloss:0.071506+0.003812    test-mlogloss:0.782603+0.024976 
## [12] train-mlogloss:0.064953+0.003691    test-mlogloss:0.789689+0.026302 
## [13] train-mlogloss:0.059547+0.003182    test-mlogloss:0.797379+0.027951 
## [14] train-mlogloss:0.055191+0.002818    test-mlogloss:0.805266+0.028153 
## [15] train-mlogloss:0.051298+0.002636    test-mlogloss:0.814444+0.029712 
## [16] train-mlogloss:0.047747+0.002244    test-mlogloss:0.822176+0.032487 
## [17] train-mlogloss:0.044681+0.001874    test-mlogloss:0.830347+0.036443 
## [18] train-mlogloss:0.042061+0.001633    test-mlogloss:0.834252+0.036090 
## [19] train-mlogloss:0.039595+0.001526    test-mlogloss:0.840311+0.036198 
## [20] train-mlogloss:0.037423+0.001268    test-mlogloss:0.845481+0.037007 
## [21] train-mlogloss:0.035583+0.001055    test-mlogloss:0.849693+0.036066 
## [22] train-mlogloss:0.033832+0.000954    test-mlogloss:0.856209+0.037155 
## [23] train-mlogloss:0.032326+0.000827    test-mlogloss:0.861740+0.038555 
## [24] train-mlogloss:0.030957+0.000705    test-mlogloss:0.867911+0.039303 
## [25] train-mlogloss:0.029744+0.000628    test-mlogloss:0.871572+0.040337 
## [26] train-mlogloss:0.028623+0.000535    test-mlogloss:0.877706+0.042744 
## [27] train-mlogloss:0.027514+0.000495    test-mlogloss:0.878550+0.041656 
## [28] train-mlogloss:0.026575+0.000477    test-mlogloss:0.882085+0.041307 
## [29] train-mlogloss:0.025682+0.000406    test-mlogloss:0.884072+0.040209 
## [30] train-mlogloss:0.024865+0.000313    test-mlogloss:0.888716+0.039157 
## [31] train-mlogloss:0.024115+0.000244    test-mlogloss:0.893010+0.039025 
## [32] train-mlogloss:0.023358+0.000230    test-mlogloss:0.895344+0.038408 
## [33] train-mlogloss:0.022680+0.000241    test-mlogloss:0.898935+0.038701 
## [34] train-mlogloss:0.022078+0.000220    test-mlogloss:0.904036+0.037796 
## [35] train-mlogloss:0.021505+0.000227    test-mlogloss:0.906626+0.039071 
## [36] train-mlogloss:0.020957+0.000207    test-mlogloss:0.910455+0.038570 
## [37] train-mlogloss:0.020430+0.000180    test-mlogloss:0.913682+0.037878 
## [38] train-mlogloss:0.019983+0.000191    test-mlogloss:0.915340+0.039717 
## [39] train-mlogloss:0.019522+0.000185    test-mlogloss:0.918159+0.039563 
## [40] train-mlogloss:0.019065+0.000185    test-mlogloss:0.920141+0.039041 
## [41] train-mlogloss:0.018640+0.000177    test-mlogloss:0.922914+0.039621 
## [42] train-mlogloss:0.018256+0.000173    test-mlogloss:0.924555+0.039865 
## [43] train-mlogloss:0.017910+0.000158    test-mlogloss:0.929159+0.040102 
## [44] train-mlogloss:0.017556+0.000158    test-mlogloss:0.933054+0.041112 
## [45] train-mlogloss:0.017206+0.000115    test-mlogloss:0.936505+0.040290 
## [46] train-mlogloss:0.016875+0.000134    test-mlogloss:0.938466+0.041142 
## [47] train-mlogloss:0.016566+0.000132    test-mlogloss:0.938974+0.042076 
## [48] train-mlogloss:0.016301+0.000125    test-mlogloss:0.942465+0.042292 
## [49] train-mlogloss:0.016030+0.000139    test-mlogloss:0.945948+0.043531 
## [50] train-mlogloss:0.015755+0.000130    test-mlogloss:0.948221+0.043842 
## [51] train-mlogloss:0.015483+0.000122    test-mlogloss:0.950827+0.042583 
## [52] train-mlogloss:0.015224+0.000108    test-mlogloss:0.952972+0.042367 
## [53] train-mlogloss:0.014988+0.000093    test-mlogloss:0.956017+0.043345 
## [54] train-mlogloss:0.014751+0.000114    test-mlogloss:0.959084+0.044190 
## [55] train-mlogloss:0.014514+0.000117    test-mlogloss:0.961664+0.043599 
## [56] train-mlogloss:0.014304+0.000117    test-mlogloss:0.964840+0.042890 
## [57] train-mlogloss:0.014093+0.000123    test-mlogloss:0.966686+0.043981 
## [58] train-mlogloss:0.013900+0.000111    test-mlogloss:0.968124+0.044458 
## [59] train-mlogloss:0.013721+0.000101    test-mlogloss:0.970760+0.043927 
## [60] train-mlogloss:0.013535+0.000115    test-mlogloss:0.972455+0.043640 
## [61] train-mlogloss:0.013355+0.000119    test-mlogloss:0.974671+0.044601 
## [62] train-mlogloss:0.013180+0.000120    test-mlogloss:0.975593+0.045757 
## [63] train-mlogloss:0.013009+0.000108    test-mlogloss:0.977305+0.045428 
## [64] train-mlogloss:0.012847+0.000107    test-mlogloss:0.979378+0.045670 
## [65] train-mlogloss:0.012686+0.000105    test-mlogloss:0.981236+0.044425 
## [66] train-mlogloss:0.012547+0.000109    test-mlogloss:0.983614+0.044308 
## [67] train-mlogloss:0.012393+0.000108    test-mlogloss:0.985009+0.045749 
## [68] train-mlogloss:0.012261+0.000108    test-mlogloss:0.986419+0.044966 
## [69] train-mlogloss:0.012127+0.000101    test-mlogloss:0.987122+0.045521 
## [70] train-mlogloss:0.011991+0.000107    test-mlogloss:0.988676+0.045727 
## [71] train-mlogloss:0.011854+0.000097    test-mlogloss:0.990017+0.047268 
## [72] train-mlogloss:0.011712+0.000102    test-mlogloss:0.991773+0.047560 
## [73] train-mlogloss:0.011592+0.000103    test-mlogloss:0.993472+0.047884 
## [74] train-mlogloss:0.011465+0.000097    test-mlogloss:0.994226+0.047988 
## [75] train-mlogloss:0.011338+0.000102    test-mlogloss:0.995257+0.047463 
## [76] train-mlogloss:0.011227+0.000103    test-mlogloss:0.995967+0.047975 
## [77] train-mlogloss:0.011117+0.000099    test-mlogloss:0.998048+0.048151 
## [78] train-mlogloss:0.011008+0.000105    test-mlogloss:0.999503+0.048742 
## [79] train-mlogloss:0.010893+0.000110    test-mlogloss:1.001606+0.047980 
## [80] train-mlogloss:0.010788+0.000108    test-mlogloss:1.002951+0.047771 
## [81] train-mlogloss:0.010690+0.000110    test-mlogloss:1.004471+0.048190 
## [82] train-mlogloss:0.010589+0.000108    test-mlogloss:1.006621+0.048393 
## [83] train-mlogloss:0.010490+0.000095    test-mlogloss:1.007989+0.048797 
## [84] train-mlogloss:0.010396+0.000093    test-mlogloss:1.009196+0.049545 
## [85] train-mlogloss:0.010312+0.000090    test-mlogloss:1.011383+0.049739 
## [86] train-mlogloss:0.010224+0.000090    test-mlogloss:1.012097+0.049228 
## [87] train-mlogloss:0.010137+0.000087    test-mlogloss:1.013647+0.048917 
## [88] train-mlogloss:0.010054+0.000086    test-mlogloss:1.013726+0.048815 
## [89] train-mlogloss:0.009975+0.000092    test-mlogloss:1.015218+0.049055 
## [90] train-mlogloss:0.009880+0.000081    test-mlogloss:1.017503+0.049591 
## [91] train-mlogloss:0.009804+0.000083    test-mlogloss:1.019134+0.049782 
## [92] train-mlogloss:0.009722+0.000083    test-mlogloss:1.020065+0.048739 
## [93] train-mlogloss:0.009645+0.000074    test-mlogloss:1.020836+0.049303 
## [94] train-mlogloss:0.009572+0.000076    test-mlogloss:1.021805+0.049988 
## [95] train-mlogloss:0.009502+0.000077    test-mlogloss:1.022854+0.050172 
## [96] train-mlogloss:0.009426+0.000076    test-mlogloss:1.024355+0.049929 
## [97] train-mlogloss:0.009356+0.000081    test-mlogloss:1.025009+0.049995 
## [98] train-mlogloss:0.009287+0.000085    test-mlogloss:1.026661+0.051067 
## [99] train-mlogloss:0.009214+0.000082    test-mlogloss:1.027329+0.051984 
## [100]    train-mlogloss:0.009146+0.000083    test-mlogloss:1.028531+0.051147 
## [101]    train-mlogloss:0.009078+0.000082    test-mlogloss:1.029841+0.051439 
## [102]    train-mlogloss:0.009016+0.000083    test-mlogloss:1.030477+0.051088 
## [103]    train-mlogloss:0.008955+0.000081    test-mlogloss:1.031429+0.050802 
## [104]    train-mlogloss:0.008899+0.000082    test-mlogloss:1.033335+0.050499 
## [105]    train-mlogloss:0.008829+0.000079    test-mlogloss:1.034395+0.050976 
## [106]    train-mlogloss:0.008766+0.000074    test-mlogloss:1.035803+0.050942 
## [107]    train-mlogloss:0.008708+0.000078    test-mlogloss:1.036351+0.051459 
## [108]    train-mlogloss:0.008649+0.000082    test-mlogloss:1.037065+0.051394 
## [109]    train-mlogloss:0.008596+0.000081    test-mlogloss:1.037374+0.052907 
## [110]    train-mlogloss:0.008538+0.000080    test-mlogloss:1.037910+0.052933 
## [111]    train-mlogloss:0.008484+0.000084    test-mlogloss:1.039057+0.053110 
## [112]    train-mlogloss:0.008431+0.000083    test-mlogloss:1.040686+0.052682 
## [113]    train-mlogloss:0.008378+0.000086    test-mlogloss:1.041195+0.052354 
## [114]    train-mlogloss:0.008324+0.000087    test-mlogloss:1.043320+0.053497 
## [115]    train-mlogloss:0.008274+0.000088    test-mlogloss:1.044298+0.053975 
## [116]    train-mlogloss:0.008221+0.000090    test-mlogloss:1.046136+0.054082 
## [117]    train-mlogloss:0.008175+0.000085    test-mlogloss:1.047212+0.054481 
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## [119]    train-mlogloss:0.008072+0.000083    test-mlogloss:1.049348+0.054250 
## [120]    train-mlogloss:0.008025+0.000077    test-mlogloss:1.049555+0.053664 
## [121]    train-mlogloss:0.007980+0.000078    test-mlogloss:1.050412+0.053304 
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## [491]    train-mlogloss:0.003415+0.000027    test-mlogloss:1.198915+0.066766 
## [492]    train-mlogloss:0.003412+0.000028    test-mlogloss:1.199390+0.066600 
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## [495]    train-mlogloss:0.003400+0.000027    test-mlogloss:1.199226+0.066034 
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## [499]    train-mlogloss:0.003385+0.000028    test-mlogloss:1.199859+0.065604 
## [500]    train-mlogloss:0.003381+0.000028    test-mlogloss:1.200260+0.065611 
## [1]  train-mlogloss:0.615537+0.001639    test-mlogloss:0.622891+0.004356 
## [2]  train-mlogloss:0.571360+0.001554    test-mlogloss:0.584833+0.004863 
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## [4]  train-mlogloss:0.525453+0.002374    test-mlogloss:0.551572+0.007802 
## [5]  train-mlogloss:0.512636+0.002827    test-mlogloss:0.543715+0.008031 
## [6]  train-mlogloss:0.503306+0.003431    test-mlogloss:0.539635+0.008885 
## [7]  train-mlogloss:0.496366+0.003608    test-mlogloss:0.536868+0.010481 
## [8]  train-mlogloss:0.490538+0.003918    test-mlogloss:0.535716+0.010379 
## [9]  train-mlogloss:0.485761+0.003865    test-mlogloss:0.534941+0.011033 
## [10] train-mlogloss:0.482050+0.003857    test-mlogloss:0.534127+0.011940 
## [11] train-mlogloss:0.478890+0.004136    test-mlogloss:0.534456+0.012086 
## [12] train-mlogloss:0.475771+0.003538    test-mlogloss:0.534832+0.012913 
## [13] train-mlogloss:0.474030+0.003456    test-mlogloss:0.534927+0.013485 
## [14] train-mlogloss:0.472298+0.004131    test-mlogloss:0.534874+0.013345 
## [15] train-mlogloss:0.470478+0.004414    test-mlogloss:0.535134+0.013086 
## [16] train-mlogloss:0.468917+0.004835    test-mlogloss:0.535678+0.013446 
## [17] train-mlogloss:0.466923+0.004442    test-mlogloss:0.536460+0.013367 
## [18] train-mlogloss:0.465242+0.004471    test-mlogloss:0.536695+0.013210 
## [19] train-mlogloss:0.463465+0.005338    test-mlogloss:0.537327+0.013638 
## [20] train-mlogloss:0.461721+0.005003    test-mlogloss:0.537570+0.013683 
## [21] train-mlogloss:0.458867+0.004536    test-mlogloss:0.537998+0.013338 
## [22] train-mlogloss:0.457376+0.005133    test-mlogloss:0.538684+0.013564 
## [23] train-mlogloss:0.456171+0.005520    test-mlogloss:0.539152+0.013611 
## [24] train-mlogloss:0.454659+0.005827    test-mlogloss:0.539645+0.013744 
## [25] train-mlogloss:0.452431+0.006067    test-mlogloss:0.540257+0.013660 
## [26] train-mlogloss:0.450311+0.006023    test-mlogloss:0.540875+0.013515 
## [27] train-mlogloss:0.448214+0.006493    test-mlogloss:0.540929+0.013466 
## [28] train-mlogloss:0.446028+0.006545    test-mlogloss:0.541847+0.013693 
## [29] train-mlogloss:0.443707+0.005575    test-mlogloss:0.542087+0.013570 
## [30] train-mlogloss:0.440687+0.005770    test-mlogloss:0.542615+0.013252 
## [31] train-mlogloss:0.438575+0.006367    test-mlogloss:0.542999+0.013077 
## [32] train-mlogloss:0.436444+0.005430    test-mlogloss:0.542926+0.013161 
## [33] train-mlogloss:0.433519+0.005810    test-mlogloss:0.543534+0.012900 
## [34] train-mlogloss:0.430308+0.005505    test-mlogloss:0.544019+0.012926 
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## [36] train-mlogloss:0.425851+0.006856    test-mlogloss:0.544892+0.013557 
## [37] train-mlogloss:0.424412+0.006777    test-mlogloss:0.545000+0.013047 
## [38] train-mlogloss:0.422089+0.006971    test-mlogloss:0.545492+0.013363 
## [39] train-mlogloss:0.420349+0.006749    test-mlogloss:0.545957+0.013778 
## [40] train-mlogloss:0.419126+0.006607    test-mlogloss:0.545915+0.013069 
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## [42] train-mlogloss:0.415845+0.007116    test-mlogloss:0.546398+0.013222 
## [43] train-mlogloss:0.413947+0.007863    test-mlogloss:0.546674+0.012919 
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## [45] train-mlogloss:0.410567+0.008980    test-mlogloss:0.547184+0.012739 
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## [48] train-mlogloss:0.405682+0.008392    test-mlogloss:0.548113+0.012715 
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## [50] train-mlogloss:0.400642+0.009071    test-mlogloss:0.548918+0.013499 
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## [54] train-mlogloss:0.393133+0.010394    test-mlogloss:0.550363+0.013121 
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## [58] train-mlogloss:0.386146+0.010994    test-mlogloss:0.552282+0.013429 
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## [441]    train-mlogloss:0.092086+0.005015    test-mlogloss:0.699262+0.033059 
## [442]    train-mlogloss:0.091925+0.005000    test-mlogloss:0.699680+0.032979 
## [443]    train-mlogloss:0.091669+0.005002    test-mlogloss:0.699921+0.033203 
## [444]    train-mlogloss:0.091421+0.005009    test-mlogloss:0.700222+0.033309 
## [445]    train-mlogloss:0.091218+0.004939    test-mlogloss:0.700485+0.033448 
## [446]    train-mlogloss:0.090872+0.004854    test-mlogloss:0.700826+0.033326 
## [447]    train-mlogloss:0.090607+0.004806    test-mlogloss:0.701099+0.033283 
## [448]    train-mlogloss:0.090309+0.004748    test-mlogloss:0.701579+0.033336 
## [449]    train-mlogloss:0.090125+0.004750    test-mlogloss:0.701811+0.033310 
## [450]    train-mlogloss:0.089781+0.004821    test-mlogloss:0.702277+0.033473 
## [451]    train-mlogloss:0.089460+0.004794    test-mlogloss:0.702442+0.033401 
## [452]    train-mlogloss:0.089278+0.004872    test-mlogloss:0.702900+0.033385 
## [453]    train-mlogloss:0.088846+0.004854    test-mlogloss:0.703297+0.033340 
## [454]    train-mlogloss:0.088628+0.004865    test-mlogloss:0.703743+0.033645 
## [455]    train-mlogloss:0.088434+0.004837    test-mlogloss:0.704052+0.033544 
## [456]    train-mlogloss:0.088123+0.004834    test-mlogloss:0.704137+0.033547 
## [457]    train-mlogloss:0.087858+0.004850    test-mlogloss:0.704278+0.033561 
## [458]    train-mlogloss:0.087546+0.004872    test-mlogloss:0.704869+0.033781 
## [459]    train-mlogloss:0.087348+0.004808    test-mlogloss:0.705050+0.033750 
## [460]    train-mlogloss:0.086902+0.004717    test-mlogloss:0.705684+0.033664 
## [461]    train-mlogloss:0.086593+0.004634    test-mlogloss:0.706103+0.033596 
## [462]    train-mlogloss:0.086454+0.004612    test-mlogloss:0.706344+0.033749 
## [463]    train-mlogloss:0.086160+0.004694    test-mlogloss:0.707027+0.034020 
## [464]    train-mlogloss:0.085952+0.004765    test-mlogloss:0.707261+0.033964 
## [465]    train-mlogloss:0.085833+0.004770    test-mlogloss:0.707533+0.033994 
## [466]    train-mlogloss:0.085602+0.004873    test-mlogloss:0.708061+0.034057 
## [467]    train-mlogloss:0.085480+0.004840    test-mlogloss:0.708356+0.034039 
## [468]    train-mlogloss:0.085236+0.004888    test-mlogloss:0.708624+0.033881 
## [469]    train-mlogloss:0.084971+0.004778    test-mlogloss:0.709004+0.033825 
## [470]    train-mlogloss:0.084840+0.004778    test-mlogloss:0.709402+0.033909 
## [471]    train-mlogloss:0.084621+0.004677    test-mlogloss:0.709591+0.034041 
## [472]    train-mlogloss:0.084218+0.004554    test-mlogloss:0.710261+0.033627 
## [473]    train-mlogloss:0.083847+0.004512    test-mlogloss:0.710552+0.033483 
## [474]    train-mlogloss:0.083707+0.004486    test-mlogloss:0.710915+0.033595 
## [475]    train-mlogloss:0.083542+0.004517    test-mlogloss:0.711055+0.033674 
## [476]    train-mlogloss:0.083367+0.004503    test-mlogloss:0.711455+0.033622 
## [477]    train-mlogloss:0.083128+0.004381    test-mlogloss:0.711753+0.033685 
## [478]    train-mlogloss:0.082917+0.004459    test-mlogloss:0.712015+0.033940 
## [479]    train-mlogloss:0.082547+0.004388    test-mlogloss:0.712416+0.033830 
## [480]    train-mlogloss:0.082289+0.004325    test-mlogloss:0.712710+0.033905 
## [481]    train-mlogloss:0.082047+0.004300    test-mlogloss:0.713078+0.033969 
## [482]    train-mlogloss:0.081849+0.004331    test-mlogloss:0.713240+0.033943 
## [483]    train-mlogloss:0.081536+0.004412    test-mlogloss:0.713693+0.034053 
## [484]    train-mlogloss:0.081347+0.004465    test-mlogloss:0.713829+0.034132 
## [485]    train-mlogloss:0.081048+0.004445    test-mlogloss:0.714024+0.034119 
## [486]    train-mlogloss:0.080822+0.004442    test-mlogloss:0.714571+0.034072 
## [487]    train-mlogloss:0.080588+0.004505    test-mlogloss:0.714850+0.034137 
## [488]    train-mlogloss:0.080291+0.004487    test-mlogloss:0.714930+0.034105 
## [489]    train-mlogloss:0.079992+0.004557    test-mlogloss:0.715276+0.034251 
## [490]    train-mlogloss:0.079699+0.004617    test-mlogloss:0.715706+0.034392 
## [491]    train-mlogloss:0.079436+0.004604    test-mlogloss:0.716187+0.034537 
## [492]    train-mlogloss:0.079287+0.004591    test-mlogloss:0.716608+0.034758 
## [493]    train-mlogloss:0.079011+0.004623    test-mlogloss:0.717132+0.034977 
## [494]    train-mlogloss:0.078854+0.004645    test-mlogloss:0.717502+0.035280 
## [495]    train-mlogloss:0.078600+0.004615    test-mlogloss:0.717652+0.035288 
## [496]    train-mlogloss:0.078367+0.004545    test-mlogloss:0.717789+0.035334 
## [497]    train-mlogloss:0.078055+0.004469    test-mlogloss:0.718187+0.035259 
## [498]    train-mlogloss:0.077821+0.004511    test-mlogloss:0.718736+0.035761 
## [499]    train-mlogloss:0.077639+0.004480    test-mlogloss:0.718830+0.035981 
## [500]    train-mlogloss:0.077472+0.004481    test-mlogloss:0.719150+0.036012 
## [1]  train-mlogloss:0.552344+0.002222    test-mlogloss:0.628839+0.001841 
## [2]  train-mlogloss:0.462042+0.003635    test-mlogloss:0.596284+0.002957 
## [3]  train-mlogloss:0.392578+0.002464    test-mlogloss:0.580422+0.004223 
## [4]  train-mlogloss:0.339288+0.003404    test-mlogloss:0.569778+0.003970 
## [5]  train-mlogloss:0.296577+0.003271    test-mlogloss:0.565277+0.004960 
## [6]  train-mlogloss:0.262226+0.002867    test-mlogloss:0.564328+0.004338 
## [7]  train-mlogloss:0.234380+0.002027    test-mlogloss:0.566119+0.004723 
## [8]  train-mlogloss:0.211005+0.000956    test-mlogloss:0.568710+0.004806 
## [9]  train-mlogloss:0.192499+0.001876    test-mlogloss:0.571085+0.004286 
## [10] train-mlogloss:0.176235+0.001704    test-mlogloss:0.574515+0.004506 
## [11] train-mlogloss:0.163490+0.001837    test-mlogloss:0.578211+0.003129 
## [12] train-mlogloss:0.152326+0.001906    test-mlogloss:0.581578+0.004307 
## [13] train-mlogloss:0.142805+0.002311    test-mlogloss:0.585141+0.004612 
## [14] train-mlogloss:0.134333+0.002161    test-mlogloss:0.589203+0.006039 
## [15] train-mlogloss:0.127628+0.003255    test-mlogloss:0.592364+0.006187 
## [16] train-mlogloss:0.121733+0.003728    test-mlogloss:0.595135+0.006480 
## [17] train-mlogloss:0.116606+0.004172    test-mlogloss:0.598481+0.007085 
## [18] train-mlogloss:0.112227+0.004525    test-mlogloss:0.600835+0.007323 
## [19] train-mlogloss:0.108528+0.005436    test-mlogloss:0.603692+0.008764 
## [20] train-mlogloss:0.104392+0.005262    test-mlogloss:0.606165+0.009078 
## [21] train-mlogloss:0.101443+0.005403    test-mlogloss:0.609073+0.009246 
## [22] train-mlogloss:0.099412+0.005451    test-mlogloss:0.610881+0.009233 
## [23] train-mlogloss:0.096940+0.004743    test-mlogloss:0.612957+0.009441 
## [24] train-mlogloss:0.094537+0.004929    test-mlogloss:0.615712+0.009768 
## [25] train-mlogloss:0.091728+0.004150    test-mlogloss:0.617506+0.010346 
## [26] train-mlogloss:0.088871+0.003790    test-mlogloss:0.620304+0.010534 
## [27] train-mlogloss:0.085799+0.003287    test-mlogloss:0.622729+0.009895 
## [28] train-mlogloss:0.084030+0.003066    test-mlogloss:0.624424+0.009876 
## [29] train-mlogloss:0.081561+0.002928    test-mlogloss:0.626729+0.010034 
## [30] train-mlogloss:0.079003+0.002894    test-mlogloss:0.629134+0.009639 
## [31] train-mlogloss:0.077719+0.003098    test-mlogloss:0.630374+0.010043 
## [32] train-mlogloss:0.076292+0.003349    test-mlogloss:0.632197+0.011178 
## [33] train-mlogloss:0.073419+0.002947    test-mlogloss:0.635240+0.011276 
## [34] train-mlogloss:0.071468+0.002821    test-mlogloss:0.637741+0.011174 
## [35] train-mlogloss:0.069718+0.002177    test-mlogloss:0.639533+0.011567 
## [36] train-mlogloss:0.067711+0.002086    test-mlogloss:0.642672+0.011369 
## [37] train-mlogloss:0.066076+0.001672    test-mlogloss:0.644773+0.011155 
## [38] train-mlogloss:0.064491+0.001653    test-mlogloss:0.646953+0.010777 
## [39] train-mlogloss:0.062982+0.001412    test-mlogloss:0.649295+0.009847 
## [40] train-mlogloss:0.061937+0.001096    test-mlogloss:0.651460+0.009617 
## [41] train-mlogloss:0.060502+0.000853    test-mlogloss:0.654210+0.009322 
## [42] train-mlogloss:0.059569+0.001201    test-mlogloss:0.655850+0.009215 
## [43] train-mlogloss:0.058405+0.001116    test-mlogloss:0.657457+0.009361 
## [44] train-mlogloss:0.057478+0.000939    test-mlogloss:0.658506+0.008977 
## [45] train-mlogloss:0.056309+0.001124    test-mlogloss:0.660455+0.009449 
## [46] train-mlogloss:0.055351+0.001180    test-mlogloss:0.662495+0.009171 
## [47] train-mlogloss:0.054230+0.001285    test-mlogloss:0.664662+0.008882 
## [48] train-mlogloss:0.053027+0.001141    test-mlogloss:0.666118+0.009665 
## [49] train-mlogloss:0.051787+0.001084    test-mlogloss:0.667498+0.009779 
## [50] train-mlogloss:0.050724+0.000943    test-mlogloss:0.669636+0.010454 
## [51] train-mlogloss:0.049938+0.000958    test-mlogloss:0.670855+0.010895 
## [52] train-mlogloss:0.048783+0.000715    test-mlogloss:0.673231+0.010297 
## [53] train-mlogloss:0.047703+0.001117    test-mlogloss:0.675787+0.010263 
## [54] train-mlogloss:0.046827+0.001330    test-mlogloss:0.677570+0.010579 
## [55] train-mlogloss:0.045789+0.001311    test-mlogloss:0.679468+0.010573 
## [56] train-mlogloss:0.044811+0.001220    test-mlogloss:0.681929+0.010665 
## [57] train-mlogloss:0.044100+0.001003    test-mlogloss:0.683770+0.010874 
## [58] train-mlogloss:0.043521+0.000964    test-mlogloss:0.684894+0.010705 
## [59] train-mlogloss:0.042777+0.000907    test-mlogloss:0.686442+0.010239 
## [60] train-mlogloss:0.042107+0.000967    test-mlogloss:0.688247+0.010399 
## [61] train-mlogloss:0.041477+0.001223    test-mlogloss:0.689798+0.011052 
## [62] train-mlogloss:0.040787+0.001103    test-mlogloss:0.692060+0.010746 
## [63] train-mlogloss:0.040012+0.001097    test-mlogloss:0.694221+0.010446 
## [64] train-mlogloss:0.039457+0.001315    test-mlogloss:0.696187+0.011144 
## [65] train-mlogloss:0.038899+0.001313    test-mlogloss:0.697639+0.011399 
## [66] train-mlogloss:0.038416+0.001281    test-mlogloss:0.699160+0.010955 
## [67] train-mlogloss:0.037875+0.001337    test-mlogloss:0.700405+0.011002 
## [68] train-mlogloss:0.037372+0.001218    test-mlogloss:0.701918+0.011149 
## [69] train-mlogloss:0.036925+0.001322    test-mlogloss:0.703261+0.011555 
## [70] train-mlogloss:0.036458+0.001366    test-mlogloss:0.704587+0.011925 
## [71] train-mlogloss:0.035898+0.001340    test-mlogloss:0.705962+0.012322 
## [72] train-mlogloss:0.035475+0.001376    test-mlogloss:0.707187+0.012042 
## [73] train-mlogloss:0.034978+0.001332    test-mlogloss:0.708797+0.011626 
## [74] train-mlogloss:0.034478+0.001335    test-mlogloss:0.710487+0.011381 
## [75] train-mlogloss:0.034086+0.001337    test-mlogloss:0.711383+0.011690 
## [76] train-mlogloss:0.033689+0.001254    test-mlogloss:0.712672+0.011465 
## [77] train-mlogloss:0.033319+0.001258    test-mlogloss:0.713880+0.011522 
## [78] train-mlogloss:0.032808+0.001105    test-mlogloss:0.715044+0.011478 
## [79] train-mlogloss:0.032433+0.000998    test-mlogloss:0.716316+0.011349 
## [80] train-mlogloss:0.032070+0.001017    test-mlogloss:0.717726+0.011292 
## [81] train-mlogloss:0.031671+0.001050    test-mlogloss:0.719324+0.011203 
## [82] train-mlogloss:0.031356+0.001063    test-mlogloss:0.720904+0.011386 
## [83] train-mlogloss:0.030927+0.001021    test-mlogloss:0.722606+0.011412 
## [84] train-mlogloss:0.030546+0.000934    test-mlogloss:0.724205+0.011529 
## [85] train-mlogloss:0.030202+0.000999    test-mlogloss:0.725139+0.011951 
## [86] train-mlogloss:0.029838+0.000992    test-mlogloss:0.726693+0.011460 
## [87] train-mlogloss:0.029532+0.000917    test-mlogloss:0.727910+0.011273 
## [88] train-mlogloss:0.029190+0.000868    test-mlogloss:0.729243+0.011419 
## [89] train-mlogloss:0.028869+0.000773    test-mlogloss:0.730583+0.011125 
## [90] train-mlogloss:0.028485+0.000783    test-mlogloss:0.731802+0.011091 
## [91] train-mlogloss:0.028163+0.000749    test-mlogloss:0.733262+0.011382 
## [92] train-mlogloss:0.027829+0.000743    test-mlogloss:0.734484+0.011134 
## [93] train-mlogloss:0.027529+0.000755    test-mlogloss:0.735377+0.011438 
## [94] train-mlogloss:0.027222+0.000682    test-mlogloss:0.736640+0.011277 
## [95] train-mlogloss:0.026986+0.000607    test-mlogloss:0.737587+0.011210 
## [96] train-mlogloss:0.026675+0.000611    test-mlogloss:0.738711+0.011414 
## [97] train-mlogloss:0.026395+0.000615    test-mlogloss:0.739955+0.011496 
## [98] train-mlogloss:0.026149+0.000549    test-mlogloss:0.740660+0.011589 
## [99] train-mlogloss:0.025866+0.000513    test-mlogloss:0.741818+0.011272 
## [100]    train-mlogloss:0.025588+0.000475    test-mlogloss:0.743139+0.011588 
## [101]    train-mlogloss:0.025309+0.000462    test-mlogloss:0.744212+0.011455 
## [102]    train-mlogloss:0.025093+0.000484    test-mlogloss:0.745378+0.011562 
## [103]    train-mlogloss:0.024780+0.000466    test-mlogloss:0.747154+0.011437 
## [104]    train-mlogloss:0.024544+0.000425    test-mlogloss:0.748054+0.011361 
## [105]    train-mlogloss:0.024289+0.000357    test-mlogloss:0.749849+0.011711 
## [106]    train-mlogloss:0.024040+0.000382    test-mlogloss:0.751194+0.011746 
## [107]    train-mlogloss:0.023806+0.000392    test-mlogloss:0.752300+0.011591 
## [108]    train-mlogloss:0.023573+0.000395    test-mlogloss:0.753193+0.011806 
## [109]    train-mlogloss:0.023365+0.000437    test-mlogloss:0.754610+0.012468 
## [110]    train-mlogloss:0.023118+0.000410    test-mlogloss:0.755690+0.012421 
## [111]    train-mlogloss:0.022912+0.000423    test-mlogloss:0.756511+0.012340 
## [112]    train-mlogloss:0.022708+0.000442    test-mlogloss:0.757489+0.012272 
## [113]    train-mlogloss:0.022485+0.000419    test-mlogloss:0.758574+0.012279 
## [114]    train-mlogloss:0.022314+0.000447    test-mlogloss:0.759367+0.012323 
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## [116]    train-mlogloss:0.021940+0.000445    test-mlogloss:0.761335+0.012700 
## [117]    train-mlogloss:0.021735+0.000438    test-mlogloss:0.762641+0.012657 
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## [119]    train-mlogloss:0.021394+0.000407    test-mlogloss:0.764346+0.012888 
## [120]    train-mlogloss:0.021233+0.000403    test-mlogloss:0.764995+0.013007 
## [121]    train-mlogloss:0.021060+0.000372    test-mlogloss:0.765825+0.013053 
## [122]    train-mlogloss:0.020898+0.000336    test-mlogloss:0.766667+0.013529 
## [123]    train-mlogloss:0.020714+0.000317    test-mlogloss:0.767432+0.013410 
## [124]    train-mlogloss:0.020550+0.000347    test-mlogloss:0.768153+0.013791 
## [125]    train-mlogloss:0.020385+0.000340    test-mlogloss:0.769455+0.014103 
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## [127]    train-mlogloss:0.020057+0.000357    test-mlogloss:0.771040+0.014321 
## [128]    train-mlogloss:0.019900+0.000330    test-mlogloss:0.772141+0.014310 
## [129]    train-mlogloss:0.019725+0.000320    test-mlogloss:0.772977+0.014107 
## [130]    train-mlogloss:0.019557+0.000301    test-mlogloss:0.773978+0.014076 
## [131]    train-mlogloss:0.019400+0.000295    test-mlogloss:0.774774+0.014085 
## [132]    train-mlogloss:0.019265+0.000300    test-mlogloss:0.776127+0.014075 
## [133]    train-mlogloss:0.019125+0.000316    test-mlogloss:0.776876+0.014159 
## [134]    train-mlogloss:0.018997+0.000326    test-mlogloss:0.777894+0.014023 
## [135]    train-mlogloss:0.018832+0.000315    test-mlogloss:0.778903+0.013995 
## [136]    train-mlogloss:0.018675+0.000299    test-mlogloss:0.779835+0.014072 
## [137]    train-mlogloss:0.018522+0.000299    test-mlogloss:0.780946+0.014191 
## [138]    train-mlogloss:0.018395+0.000306    test-mlogloss:0.781758+0.014316 
## [139]    train-mlogloss:0.018261+0.000301    test-mlogloss:0.782699+0.014355 
## [140]    train-mlogloss:0.018140+0.000298    test-mlogloss:0.783777+0.014375 
## [141]    train-mlogloss:0.017986+0.000287    test-mlogloss:0.784957+0.014302 
## [142]    train-mlogloss:0.017853+0.000293    test-mlogloss:0.786059+0.014435 
## [143]    train-mlogloss:0.017735+0.000275    test-mlogloss:0.787149+0.014223 
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## [404]    train-mlogloss:0.007119+0.000043    test-mlogloss:0.917393+0.019516 
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## [406]    train-mlogloss:0.007093+0.000041    test-mlogloss:0.917426+0.019338 
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## [408]    train-mlogloss:0.007068+0.000041    test-mlogloss:0.917814+0.019440 
## [409]    train-mlogloss:0.007056+0.000042    test-mlogloss:0.918143+0.019381 
## [410]    train-mlogloss:0.007043+0.000043    test-mlogloss:0.918301+0.019601 
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## [412]    train-mlogloss:0.007019+0.000042    test-mlogloss:0.918771+0.019505 
## [413]    train-mlogloss:0.007007+0.000041    test-mlogloss:0.919049+0.019456 
## [414]    train-mlogloss:0.006994+0.000042    test-mlogloss:0.919497+0.019606 
## [415]    train-mlogloss:0.006981+0.000041    test-mlogloss:0.919952+0.019758 
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## [418]    train-mlogloss:0.006944+0.000041    test-mlogloss:0.920587+0.019744 
## [419]    train-mlogloss:0.006931+0.000041    test-mlogloss:0.921055+0.019799 
## [420]    train-mlogloss:0.006919+0.000042    test-mlogloss:0.921248+0.019857 
## [421]    train-mlogloss:0.006907+0.000040    test-mlogloss:0.921489+0.019809 
## [422]    train-mlogloss:0.006894+0.000040    test-mlogloss:0.921750+0.020173 
## [423]    train-mlogloss:0.006882+0.000041    test-mlogloss:0.921958+0.020131 
## [424]    train-mlogloss:0.006870+0.000040    test-mlogloss:0.922007+0.020168 
## [425]    train-mlogloss:0.006859+0.000041    test-mlogloss:0.922257+0.020254 
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## [445]    train-mlogloss:0.006631+0.000039    test-mlogloss:0.928270+0.019988 
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## [450]    train-mlogloss:0.006579+0.000036    test-mlogloss:0.929412+0.019791 
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## [452]    train-mlogloss:0.006558+0.000036    test-mlogloss:0.929909+0.019694 
## [453]    train-mlogloss:0.006547+0.000035    test-mlogloss:0.930139+0.019781 
## [454]    train-mlogloss:0.006537+0.000033    test-mlogloss:0.930445+0.019712 
## [455]    train-mlogloss:0.006526+0.000033    test-mlogloss:0.930832+0.019676 
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## [457]    train-mlogloss:0.006506+0.000033    test-mlogloss:0.931417+0.019483 
## [458]    train-mlogloss:0.006497+0.000031    test-mlogloss:0.931533+0.019546 
## [459]    train-mlogloss:0.006486+0.000032    test-mlogloss:0.931624+0.019649 
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## [461]    train-mlogloss:0.006466+0.000033    test-mlogloss:0.932289+0.019863 
## [462]    train-mlogloss:0.006456+0.000033    test-mlogloss:0.932390+0.020055 
## [463]    train-mlogloss:0.006445+0.000032    test-mlogloss:0.932702+0.019929 
## [464]    train-mlogloss:0.006435+0.000033    test-mlogloss:0.933065+0.019888 
## [465]    train-mlogloss:0.006425+0.000032    test-mlogloss:0.933319+0.019808 
## [466]    train-mlogloss:0.006414+0.000032    test-mlogloss:0.933645+0.019785 
## [467]    train-mlogloss:0.006404+0.000032    test-mlogloss:0.933925+0.019839 
## [468]    train-mlogloss:0.006394+0.000031    test-mlogloss:0.934143+0.019797 
## [469]    train-mlogloss:0.006384+0.000032    test-mlogloss:0.934564+0.019742 
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## [472]    train-mlogloss:0.006357+0.000031    test-mlogloss:0.935132+0.019755 
## [473]    train-mlogloss:0.006348+0.000032    test-mlogloss:0.935331+0.019848 
## [474]    train-mlogloss:0.006338+0.000032    test-mlogloss:0.935602+0.020111 
## [475]    train-mlogloss:0.006328+0.000031    test-mlogloss:0.935799+0.020054 
## [476]    train-mlogloss:0.006319+0.000031    test-mlogloss:0.936022+0.020015 
## [477]    train-mlogloss:0.006310+0.000030    test-mlogloss:0.936443+0.019964 
## [478]    train-mlogloss:0.006300+0.000030    test-mlogloss:0.936699+0.020033 
## [479]    train-mlogloss:0.006291+0.000030    test-mlogloss:0.936843+0.020096 
## [480]    train-mlogloss:0.006280+0.000029    test-mlogloss:0.937009+0.020013 
## [481]    train-mlogloss:0.006271+0.000029    test-mlogloss:0.937268+0.019842 
## [482]    train-mlogloss:0.006261+0.000029    test-mlogloss:0.937257+0.019977 
## [483]    train-mlogloss:0.006251+0.000030    test-mlogloss:0.937458+0.019955 
## [484]    train-mlogloss:0.006242+0.000029    test-mlogloss:0.937794+0.020027 
## [485]    train-mlogloss:0.006234+0.000029    test-mlogloss:0.938054+0.019893 
## [486]    train-mlogloss:0.006226+0.000028    test-mlogloss:0.938307+0.019957 
## [487]    train-mlogloss:0.006218+0.000029    test-mlogloss:0.938517+0.019926 
## [488]    train-mlogloss:0.006208+0.000028    test-mlogloss:0.938507+0.019829 
## [489]    train-mlogloss:0.006200+0.000028    test-mlogloss:0.938729+0.019716 
## [490]    train-mlogloss:0.006191+0.000027    test-mlogloss:0.939029+0.019847 
## [491]    train-mlogloss:0.006182+0.000028    test-mlogloss:0.939278+0.019863 
## [492]    train-mlogloss:0.006173+0.000028    test-mlogloss:0.939619+0.019961 
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## [494]    train-mlogloss:0.006157+0.000027    test-mlogloss:0.940152+0.019739 
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## [497]    train-mlogloss:0.006130+0.000029    test-mlogloss:0.940911+0.019650 
## [498]    train-mlogloss:0.006122+0.000029    test-mlogloss:0.941142+0.019564 
## [499]    train-mlogloss:0.006114+0.000028    test-mlogloss:0.941292+0.019565 
## [500]    train-mlogloss:0.006104+0.000028    test-mlogloss:0.941406+0.019649 
## [1]  train-mlogloss:0.538635+0.001260    test-mlogloss:0.557114+0.002497 
## [2]  train-mlogloss:0.507861+0.001552    test-mlogloss:0.543555+0.003518 
## [3]  train-mlogloss:0.493853+0.001538    test-mlogloss:0.541463+0.003094 
## [4]  train-mlogloss:0.486955+0.002900    test-mlogloss:0.542700+0.005087 
## [5]  train-mlogloss:0.481034+0.003229    test-mlogloss:0.543422+0.004194 
## [6]  train-mlogloss:0.476207+0.002394    test-mlogloss:0.544051+0.004599 
## [7]  train-mlogloss:0.471218+0.004547    test-mlogloss:0.545501+0.005128 
## [8]  train-mlogloss:0.465390+0.004828    test-mlogloss:0.548269+0.005630 
## [9]  train-mlogloss:0.458519+0.004610    test-mlogloss:0.549030+0.006473 
## [10] train-mlogloss:0.450145+0.005135    test-mlogloss:0.551996+0.006094 
## [11] train-mlogloss:0.444037+0.006687    test-mlogloss:0.551845+0.006605 
## [12] train-mlogloss:0.438269+0.004435    test-mlogloss:0.553756+0.005767 
## [13] train-mlogloss:0.434437+0.004361    test-mlogloss:0.554952+0.006126 
## [14] train-mlogloss:0.428828+0.004247    test-mlogloss:0.557527+0.006007 
## [15] train-mlogloss:0.422505+0.004931    test-mlogloss:0.559036+0.005625 
## [16] train-mlogloss:0.418932+0.004981    test-mlogloss:0.560799+0.004538 
## [17] train-mlogloss:0.413744+0.004719    test-mlogloss:0.562963+0.005393 
## [18] train-mlogloss:0.408366+0.005053    test-mlogloss:0.566380+0.005390 
## [19] train-mlogloss:0.403133+0.006874    test-mlogloss:0.567996+0.005511 
## [20] train-mlogloss:0.397218+0.006072    test-mlogloss:0.569869+0.005713 
## [21] train-mlogloss:0.391288+0.006635    test-mlogloss:0.572511+0.006843 
## [22] train-mlogloss:0.385109+0.007268    test-mlogloss:0.574357+0.007106 
## [23] train-mlogloss:0.378696+0.007107    test-mlogloss:0.577420+0.005257 
## [24] train-mlogloss:0.372202+0.005875    test-mlogloss:0.579336+0.005589 
## [25] train-mlogloss:0.367113+0.007721    test-mlogloss:0.580615+0.005106 
## [26] train-mlogloss:0.364113+0.008849    test-mlogloss:0.581558+0.005898 
## [27] train-mlogloss:0.360230+0.008339    test-mlogloss:0.582708+0.006181 
## [28] train-mlogloss:0.354975+0.008127    test-mlogloss:0.584074+0.006068 
## [29] train-mlogloss:0.351675+0.007732    test-mlogloss:0.584764+0.005972 
## [30] train-mlogloss:0.347708+0.006659    test-mlogloss:0.586811+0.005679 
## [31] train-mlogloss:0.343267+0.006686    test-mlogloss:0.589271+0.006471 
## [32] train-mlogloss:0.338758+0.006407    test-mlogloss:0.591078+0.006442 
## [33] train-mlogloss:0.334393+0.007309    test-mlogloss:0.592847+0.006642 
## [34] train-mlogloss:0.330584+0.007361    test-mlogloss:0.595197+0.007329 
## [35] train-mlogloss:0.326479+0.007700    test-mlogloss:0.595800+0.006677 
## [36] train-mlogloss:0.323006+0.007519    test-mlogloss:0.597544+0.007521 
## [37] train-mlogloss:0.318670+0.006663    test-mlogloss:0.599463+0.007560 
## [38] train-mlogloss:0.314341+0.006343    test-mlogloss:0.601163+0.007921 
## [39] train-mlogloss:0.311494+0.006053    test-mlogloss:0.602626+0.007111 
## [40] train-mlogloss:0.307331+0.006348    test-mlogloss:0.603234+0.007256 
## [41] train-mlogloss:0.304298+0.005673    test-mlogloss:0.604664+0.007779 
## [42] train-mlogloss:0.300823+0.004503    test-mlogloss:0.606242+0.007591 
## [43] train-mlogloss:0.297617+0.005095    test-mlogloss:0.608895+0.008784 
## [44] train-mlogloss:0.293509+0.005069    test-mlogloss:0.610027+0.009947 
## [45] train-mlogloss:0.289251+0.004805    test-mlogloss:0.612446+0.009806 
## [46] train-mlogloss:0.285837+0.005146    test-mlogloss:0.613906+0.009796 
## [47] train-mlogloss:0.282616+0.004444    test-mlogloss:0.615832+0.010054 
## [48] train-mlogloss:0.279874+0.003285    test-mlogloss:0.617849+0.010208 
## [49] train-mlogloss:0.277031+0.002824    test-mlogloss:0.620921+0.008668 
## [50] train-mlogloss:0.274230+0.003739    test-mlogloss:0.621416+0.009157 
## [51] train-mlogloss:0.270286+0.002955    test-mlogloss:0.622521+0.009917 
## [52] train-mlogloss:0.267054+0.003484    test-mlogloss:0.625676+0.009537 
## [53] train-mlogloss:0.263649+0.003786    test-mlogloss:0.627521+0.008839 
## [54] train-mlogloss:0.260658+0.003579    test-mlogloss:0.629041+0.009118 
## [55] train-mlogloss:0.257946+0.003513    test-mlogloss:0.631344+0.009544 
## [56] train-mlogloss:0.254837+0.004908    test-mlogloss:0.632728+0.009650 
## [57] train-mlogloss:0.252200+0.003704    test-mlogloss:0.633865+0.010075 
## [58] train-mlogloss:0.248584+0.004019    test-mlogloss:0.636287+0.011264 
## [59] train-mlogloss:0.245832+0.003884    test-mlogloss:0.638138+0.011814 
## [60] train-mlogloss:0.243462+0.004973    test-mlogloss:0.638801+0.011748 
## [61] train-mlogloss:0.240138+0.005246    test-mlogloss:0.640203+0.011795 
## [62] train-mlogloss:0.237095+0.005201    test-mlogloss:0.641924+0.012035 
## [63] train-mlogloss:0.234351+0.005257    test-mlogloss:0.643866+0.012071 
## [64] train-mlogloss:0.231407+0.005455    test-mlogloss:0.644736+0.012089 
## [65] train-mlogloss:0.229688+0.006030    test-mlogloss:0.645282+0.012104 
## [66] train-mlogloss:0.228030+0.005546    test-mlogloss:0.646355+0.011901 
## [67] train-mlogloss:0.226214+0.005865    test-mlogloss:0.647609+0.010816 
## [68] train-mlogloss:0.224024+0.006278    test-mlogloss:0.649410+0.010735 
## [69] train-mlogloss:0.221525+0.005609    test-mlogloss:0.651097+0.011702 
## [70] train-mlogloss:0.219259+0.005736    test-mlogloss:0.651284+0.012029 
## [71] train-mlogloss:0.217070+0.005954    test-mlogloss:0.652287+0.012075 
## [72] train-mlogloss:0.213657+0.006730    test-mlogloss:0.654651+0.010914 
## [73] train-mlogloss:0.210600+0.007364    test-mlogloss:0.655898+0.011400 
## [74] train-mlogloss:0.208662+0.007925    test-mlogloss:0.656706+0.011530 
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## [77] train-mlogloss:0.201223+0.008544    test-mlogloss:0.662840+0.013567 
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## [80] train-mlogloss:0.195609+0.007307    test-mlogloss:0.664257+0.012964 
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## [82] train-mlogloss:0.191940+0.006603    test-mlogloss:0.665102+0.012741 
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## [462]    train-mlogloss:0.014414+0.000394    test-mlogloss:1.016195+0.023108 
## [463]    train-mlogloss:0.014372+0.000411    test-mlogloss:1.016449+0.022942 
## [464]    train-mlogloss:0.014299+0.000425    test-mlogloss:1.017573+0.022975 
## [465]    train-mlogloss:0.014273+0.000433    test-mlogloss:1.017966+0.023289 
## [466]    train-mlogloss:0.014234+0.000440    test-mlogloss:1.018648+0.023262 
## [467]    train-mlogloss:0.014199+0.000451    test-mlogloss:1.018648+0.023076 
## [468]    train-mlogloss:0.014128+0.000496    test-mlogloss:1.019638+0.023763 
## [469]    train-mlogloss:0.014068+0.000517    test-mlogloss:1.020331+0.023309 
## [470]    train-mlogloss:0.014013+0.000514    test-mlogloss:1.021121+0.023033 
## [471]    train-mlogloss:0.013968+0.000532    test-mlogloss:1.021823+0.023379 
## [472]    train-mlogloss:0.013918+0.000548    test-mlogloss:1.022464+0.023404 
## [473]    train-mlogloss:0.013870+0.000545    test-mlogloss:1.023172+0.023568 
## [474]    train-mlogloss:0.013830+0.000534    test-mlogloss:1.023749+0.023863 
## [475]    train-mlogloss:0.013778+0.000516    test-mlogloss:1.024653+0.024198 
## [476]    train-mlogloss:0.013737+0.000509    test-mlogloss:1.025465+0.024005 
## [477]    train-mlogloss:0.013673+0.000505    test-mlogloss:1.026663+0.024210 
## [478]    train-mlogloss:0.013616+0.000507    test-mlogloss:1.026931+0.024468 
## [479]    train-mlogloss:0.013546+0.000511    test-mlogloss:1.027675+0.024511 
## [480]    train-mlogloss:0.013494+0.000513    test-mlogloss:1.028578+0.024916 
## [481]    train-mlogloss:0.013451+0.000497    test-mlogloss:1.029054+0.024406 
## [482]    train-mlogloss:0.013402+0.000481    test-mlogloss:1.029636+0.024305 
## [483]    train-mlogloss:0.013372+0.000470    test-mlogloss:1.029949+0.024546 
## [484]    train-mlogloss:0.013306+0.000463    test-mlogloss:1.030764+0.024352 
## [485]    train-mlogloss:0.013244+0.000467    test-mlogloss:1.031371+0.024514 
## [486]    train-mlogloss:0.013193+0.000470    test-mlogloss:1.032273+0.024378 
## [487]    train-mlogloss:0.013127+0.000472    test-mlogloss:1.032687+0.024250 
## [488]    train-mlogloss:0.013100+0.000483    test-mlogloss:1.032909+0.024130 
## [489]    train-mlogloss:0.013071+0.000480    test-mlogloss:1.033004+0.024364 
## [490]    train-mlogloss:0.013022+0.000480    test-mlogloss:1.033655+0.024590 
## [491]    train-mlogloss:0.012962+0.000471    test-mlogloss:1.034662+0.024175 
## [492]    train-mlogloss:0.012911+0.000457    test-mlogloss:1.035178+0.023754 
## [493]    train-mlogloss:0.012862+0.000446    test-mlogloss:1.035002+0.024024 
## [494]    train-mlogloss:0.012826+0.000454    test-mlogloss:1.036414+0.024301 
## [495]    train-mlogloss:0.012781+0.000450    test-mlogloss:1.036907+0.024142 
## [496]    train-mlogloss:0.012744+0.000456    test-mlogloss:1.037513+0.024375 
## [497]    train-mlogloss:0.012718+0.000456    test-mlogloss:1.037504+0.024396 
## [498]    train-mlogloss:0.012669+0.000455    test-mlogloss:1.037801+0.024352 
## [499]    train-mlogloss:0.012635+0.000456    test-mlogloss:1.038472+0.024284 
## [500]    train-mlogloss:0.012599+0.000450    test-mlogloss:1.038978+0.024079 
## [1]  train-mlogloss:0.393758+0.001298    test-mlogloss:0.591821+0.013685 
## [2]  train-mlogloss:0.274462+0.002601    test-mlogloss:0.595323+0.012485 
## [3]  train-mlogloss:0.207193+0.001340    test-mlogloss:0.609427+0.012104 
## [4]  train-mlogloss:0.167767+0.003655    test-mlogloss:0.628469+0.015655 
## [5]  train-mlogloss:0.138468+0.003855    test-mlogloss:0.643500+0.018792 
## [6]  train-mlogloss:0.120042+0.004483    test-mlogloss:0.655377+0.021186 
## [7]  train-mlogloss:0.105203+0.003082    test-mlogloss:0.667157+0.023099 
## [8]  train-mlogloss:0.094253+0.003877    test-mlogloss:0.675989+0.023021 
## [9]  train-mlogloss:0.086690+0.003357    test-mlogloss:0.683531+0.024440 
## [10] train-mlogloss:0.081608+0.003769    test-mlogloss:0.690024+0.024645 
## [11] train-mlogloss:0.075073+0.004991    test-mlogloss:0.697419+0.024826 
## [12] train-mlogloss:0.068859+0.005683    test-mlogloss:0.703690+0.026353 
## [13] train-mlogloss:0.063681+0.005977    test-mlogloss:0.712150+0.028124 
## [14] train-mlogloss:0.058915+0.004718    test-mlogloss:0.719697+0.027311 
## [15] train-mlogloss:0.054683+0.003445    test-mlogloss:0.726626+0.024979 
## [16] train-mlogloss:0.051058+0.003073    test-mlogloss:0.733096+0.024589 
## [17] train-mlogloss:0.048414+0.002257    test-mlogloss:0.738552+0.024592 
## [18] train-mlogloss:0.046045+0.002262    test-mlogloss:0.742672+0.026515 
## [19] train-mlogloss:0.043488+0.002644    test-mlogloss:0.750774+0.027205 
## [20] train-mlogloss:0.041328+0.002428    test-mlogloss:0.753848+0.027973 
## [21] train-mlogloss:0.039259+0.001711    test-mlogloss:0.758716+0.029603 
## [22] train-mlogloss:0.037326+0.001815    test-mlogloss:0.764007+0.029229 
## [23] train-mlogloss:0.035964+0.001849    test-mlogloss:0.767496+0.029028 
## [24] train-mlogloss:0.034643+0.001214    test-mlogloss:0.771424+0.026898 
## [25] train-mlogloss:0.033174+0.001026    test-mlogloss:0.775154+0.027177 
## [26] train-mlogloss:0.031878+0.001014    test-mlogloss:0.778804+0.026541 
## [27] train-mlogloss:0.030533+0.000899    test-mlogloss:0.783763+0.026556 
## [28] train-mlogloss:0.029260+0.000836    test-mlogloss:0.788732+0.026073 
## [29] train-mlogloss:0.028109+0.000784    test-mlogloss:0.794241+0.026452 
## [30] train-mlogloss:0.027100+0.000895    test-mlogloss:0.798754+0.027419 
## [31] train-mlogloss:0.026061+0.000822    test-mlogloss:0.802633+0.026523 
## [32] train-mlogloss:0.025126+0.000727    test-mlogloss:0.807141+0.027438 
## [33] train-mlogloss:0.024288+0.000654    test-mlogloss:0.810758+0.027153 
## [34] train-mlogloss:0.023649+0.000594    test-mlogloss:0.814695+0.026601 
## [35] train-mlogloss:0.022959+0.000600    test-mlogloss:0.817131+0.027350 
## [36] train-mlogloss:0.022298+0.000600    test-mlogloss:0.821148+0.026933 
## [37] train-mlogloss:0.021735+0.000538    test-mlogloss:0.824719+0.026375 
## [38] train-mlogloss:0.021146+0.000518    test-mlogloss:0.827763+0.027339 
## [39] train-mlogloss:0.020642+0.000524    test-mlogloss:0.829312+0.027673 
## [40] train-mlogloss:0.020162+0.000553    test-mlogloss:0.832664+0.027724 
## [41] train-mlogloss:0.019680+0.000579    test-mlogloss:0.836221+0.028056 
## [42] train-mlogloss:0.019226+0.000566    test-mlogloss:0.839199+0.028529 
## [43] train-mlogloss:0.018766+0.000541    test-mlogloss:0.842574+0.029419 
## [44] train-mlogloss:0.018338+0.000546    test-mlogloss:0.846012+0.028373 
## [45] train-mlogloss:0.017920+0.000511    test-mlogloss:0.850407+0.028309 
## [46] train-mlogloss:0.017547+0.000491    test-mlogloss:0.853367+0.028363 
## [47] train-mlogloss:0.017192+0.000450    test-mlogloss:0.856002+0.027878 
## [48] train-mlogloss:0.016858+0.000391    test-mlogloss:0.858993+0.027690 
## [49] train-mlogloss:0.016527+0.000394    test-mlogloss:0.860649+0.027524 
## [50] train-mlogloss:0.016195+0.000377    test-mlogloss:0.863208+0.026628 
## [51] train-mlogloss:0.015894+0.000362    test-mlogloss:0.866195+0.027193 
## [52] train-mlogloss:0.015600+0.000353    test-mlogloss:0.868414+0.027041 
## [53] train-mlogloss:0.015327+0.000360    test-mlogloss:0.871514+0.026857 
## [54] train-mlogloss:0.015070+0.000348    test-mlogloss:0.873257+0.027274 
## [55] train-mlogloss:0.014830+0.000354    test-mlogloss:0.876342+0.027367 
## [56] train-mlogloss:0.014578+0.000355    test-mlogloss:0.878499+0.027451 
## [57] train-mlogloss:0.014351+0.000351    test-mlogloss:0.880113+0.028497 
## [58] train-mlogloss:0.014123+0.000332    test-mlogloss:0.881437+0.028986 
## [59] train-mlogloss:0.013905+0.000324    test-mlogloss:0.883469+0.028295 
## [60] train-mlogloss:0.013703+0.000300    test-mlogloss:0.885213+0.027326 
## [61] train-mlogloss:0.013501+0.000304    test-mlogloss:0.886924+0.027553 
## [62] train-mlogloss:0.013299+0.000298    test-mlogloss:0.889160+0.028440 
## [63] train-mlogloss:0.013118+0.000307    test-mlogloss:0.892201+0.028928 
## [64] train-mlogloss:0.012937+0.000298    test-mlogloss:0.894198+0.029096 
## [65] train-mlogloss:0.012765+0.000296    test-mlogloss:0.896285+0.029599 
## [66] train-mlogloss:0.012597+0.000285    test-mlogloss:0.898730+0.030828 
## [67] train-mlogloss:0.012432+0.000264    test-mlogloss:0.900763+0.031558 
## [68] train-mlogloss:0.012276+0.000262    test-mlogloss:0.902324+0.030550 
## [69] train-mlogloss:0.012130+0.000266    test-mlogloss:0.904234+0.031234 
## [70] train-mlogloss:0.011989+0.000264    test-mlogloss:0.905566+0.030883 
## [71] train-mlogloss:0.011847+0.000268    test-mlogloss:0.908112+0.030941 
## [72] train-mlogloss:0.011707+0.000269    test-mlogloss:0.909035+0.031413 
## [73] train-mlogloss:0.011565+0.000269    test-mlogloss:0.910700+0.031243 
## [74] train-mlogloss:0.011439+0.000270    test-mlogloss:0.912700+0.031774 
## [75] train-mlogloss:0.011310+0.000264    test-mlogloss:0.914315+0.031589 
## [76] train-mlogloss:0.011182+0.000271    test-mlogloss:0.915566+0.031100 
## [77] train-mlogloss:0.011067+0.000258    test-mlogloss:0.916939+0.031583 
## [78] train-mlogloss:0.010949+0.000258    test-mlogloss:0.918757+0.030600 
## [79] train-mlogloss:0.010835+0.000256    test-mlogloss:0.920313+0.030691 
## [80] train-mlogloss:0.010726+0.000250    test-mlogloss:0.921364+0.030057 
## [81] train-mlogloss:0.010604+0.000233    test-mlogloss:0.922913+0.029869 
## [82] train-mlogloss:0.010495+0.000229    test-mlogloss:0.925063+0.030325 
## [83] train-mlogloss:0.010393+0.000222    test-mlogloss:0.927317+0.030274 
## [84] train-mlogloss:0.010297+0.000219    test-mlogloss:0.928841+0.029255 
## [85] train-mlogloss:0.010202+0.000210    test-mlogloss:0.929676+0.028936 
## [86] train-mlogloss:0.010105+0.000207    test-mlogloss:0.931083+0.029284 
## [87] train-mlogloss:0.010011+0.000202    test-mlogloss:0.932275+0.030107 
## [88] train-mlogloss:0.009917+0.000200    test-mlogloss:0.933196+0.029837 
## [89] train-mlogloss:0.009833+0.000194    test-mlogloss:0.934583+0.030083 
## [90] train-mlogloss:0.009748+0.000192    test-mlogloss:0.936140+0.030338 
## [91] train-mlogloss:0.009662+0.000187    test-mlogloss:0.937341+0.030708 
## [92] train-mlogloss:0.009579+0.000189    test-mlogloss:0.938561+0.030876 
## [93] train-mlogloss:0.009492+0.000185    test-mlogloss:0.939927+0.030511 
## [94] train-mlogloss:0.009416+0.000180    test-mlogloss:0.941351+0.030571 
## [95] train-mlogloss:0.009343+0.000175    test-mlogloss:0.941987+0.030219 
## [96] train-mlogloss:0.009260+0.000174    test-mlogloss:0.942722+0.030254 
## [97] train-mlogloss:0.009190+0.000176    test-mlogloss:0.943998+0.030355 
## [98] train-mlogloss:0.009113+0.000177    test-mlogloss:0.945190+0.030703 
## [99] train-mlogloss:0.009045+0.000176    test-mlogloss:0.946410+0.031141 
## [100]    train-mlogloss:0.008974+0.000179    test-mlogloss:0.947053+0.031548 
## [101]    train-mlogloss:0.008908+0.000178    test-mlogloss:0.948594+0.031463 
## [102]    train-mlogloss:0.008844+0.000175    test-mlogloss:0.949664+0.030861 
## [103]    train-mlogloss:0.008778+0.000171    test-mlogloss:0.950492+0.030748 
## [104]    train-mlogloss:0.008718+0.000169    test-mlogloss:0.951840+0.030926 
## [105]    train-mlogloss:0.008655+0.000165    test-mlogloss:0.953041+0.030917 
## [106]    train-mlogloss:0.008590+0.000164    test-mlogloss:0.954170+0.031591 
## [107]    train-mlogloss:0.008529+0.000162    test-mlogloss:0.954755+0.032124 
## [108]    train-mlogloss:0.008470+0.000163    test-mlogloss:0.955768+0.032812 
## [109]    train-mlogloss:0.008410+0.000166    test-mlogloss:0.956818+0.032955 
## [110]    train-mlogloss:0.008348+0.000163    test-mlogloss:0.957736+0.032269 
## [111]    train-mlogloss:0.008293+0.000162    test-mlogloss:0.958642+0.033433 
## [112]    train-mlogloss:0.008242+0.000158    test-mlogloss:0.959584+0.033417 
## [113]    train-mlogloss:0.008188+0.000161    test-mlogloss:0.960794+0.032709 
## [114]    train-mlogloss:0.008129+0.000161    test-mlogloss:0.962017+0.032366 
## [115]    train-mlogloss:0.008076+0.000161    test-mlogloss:0.963402+0.032237 
## [116]    train-mlogloss:0.008025+0.000162    test-mlogloss:0.965049+0.032191 
## [117]    train-mlogloss:0.007977+0.000159    test-mlogloss:0.965985+0.031789 
## [118]    train-mlogloss:0.007925+0.000158    test-mlogloss:0.967213+0.032067 
## [119]    train-mlogloss:0.007874+0.000153    test-mlogloss:0.967526+0.032046 
## [120]    train-mlogloss:0.007825+0.000151    test-mlogloss:0.968577+0.032499 
## [121]    train-mlogloss:0.007775+0.000152    test-mlogloss:0.969787+0.031581 
## [122]    train-mlogloss:0.007730+0.000152    test-mlogloss:0.970757+0.031910 
## [123]    train-mlogloss:0.007683+0.000150    test-mlogloss:0.971883+0.031612 
## [124]    train-mlogloss:0.007643+0.000148    test-mlogloss:0.972312+0.031895 
## [125]    train-mlogloss:0.007598+0.000149    test-mlogloss:0.973267+0.031615 
## [126]    train-mlogloss:0.007551+0.000147    test-mlogloss:0.974076+0.031496 
## [127]    train-mlogloss:0.007507+0.000149    test-mlogloss:0.974946+0.031756 
## [128]    train-mlogloss:0.007464+0.000147    test-mlogloss:0.975392+0.031494 
## [129]    train-mlogloss:0.007419+0.000142    test-mlogloss:0.976126+0.031812 
## [130]    train-mlogloss:0.007379+0.000142    test-mlogloss:0.977250+0.032098 
## [131]    train-mlogloss:0.007339+0.000141    test-mlogloss:0.977764+0.031881 
## [132]    train-mlogloss:0.007298+0.000140    test-mlogloss:0.979628+0.031866 
## [133]    train-mlogloss:0.007257+0.000140    test-mlogloss:0.980240+0.032035 
## [134]    train-mlogloss:0.007217+0.000140    test-mlogloss:0.981405+0.031727 
## [135]    train-mlogloss:0.007176+0.000137    test-mlogloss:0.981217+0.032154 
## [136]    train-mlogloss:0.007140+0.000136    test-mlogloss:0.982125+0.032649 
## [137]    train-mlogloss:0.007102+0.000132    test-mlogloss:0.982765+0.032489 
## [138]    train-mlogloss:0.007066+0.000127    test-mlogloss:0.983414+0.031927 
## [139]    train-mlogloss:0.007027+0.000126    test-mlogloss:0.984304+0.032043 
## [140]    train-mlogloss:0.006990+0.000123    test-mlogloss:0.984826+0.031453 
## [141]    train-mlogloss:0.006954+0.000125    test-mlogloss:0.986182+0.032035 
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## [143]    train-mlogloss:0.006882+0.000127    test-mlogloss:0.986820+0.032477 
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## [145]    train-mlogloss:0.006817+0.000125    test-mlogloss:0.988452+0.032655 
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## [148]    train-mlogloss:0.006723+0.000120    test-mlogloss:0.991588+0.032532 
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## [152]    train-mlogloss:0.006602+0.000120    test-mlogloss:0.995300+0.032717 
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## [155]    train-mlogloss:0.006511+0.000119    test-mlogloss:0.996738+0.033058 
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## [158]    train-mlogloss:0.006423+0.000112    test-mlogloss:0.998690+0.033114 
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## [161]    train-mlogloss:0.006344+0.000110    test-mlogloss:1.000630+0.033211 
## [162]    train-mlogloss:0.006316+0.000107    test-mlogloss:1.000718+0.033010 
## [163]    train-mlogloss:0.006288+0.000109    test-mlogloss:1.001344+0.032934 
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## [399]    train-mlogloss:0.003615+0.000045    test-mlogloss:1.095626+0.037474 
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## [403]    train-mlogloss:0.003594+0.000045    test-mlogloss:1.096798+0.037167 
## [404]    train-mlogloss:0.003589+0.000045    test-mlogloss:1.097133+0.037361 
## [405]    train-mlogloss:0.003583+0.000044    test-mlogloss:1.097135+0.037229 
## [406]    train-mlogloss:0.003577+0.000043    test-mlogloss:1.097311+0.036948 
## [407]    train-mlogloss:0.003572+0.000042    test-mlogloss:1.097880+0.037094 
## [408]    train-mlogloss:0.003568+0.000042    test-mlogloss:1.097907+0.037054 
## [409]    train-mlogloss:0.003563+0.000043    test-mlogloss:1.097873+0.037043 
## [410]    train-mlogloss:0.003558+0.000043    test-mlogloss:1.097942+0.037065 
## [411]    train-mlogloss:0.003553+0.000043    test-mlogloss:1.098341+0.037193 
## [412]    train-mlogloss:0.003549+0.000043    test-mlogloss:1.098294+0.037251 
## [413]    train-mlogloss:0.003544+0.000042    test-mlogloss:1.098331+0.037203 
## [414]    train-mlogloss:0.003540+0.000042    test-mlogloss:1.098504+0.037204 
## [415]    train-mlogloss:0.003535+0.000042    test-mlogloss:1.099074+0.037151 
## [416]    train-mlogloss:0.003529+0.000042    test-mlogloss:1.099458+0.036893 
## [417]    train-mlogloss:0.003524+0.000042    test-mlogloss:1.099797+0.037120 
## [418]    train-mlogloss:0.003519+0.000042    test-mlogloss:1.100062+0.037278 
## [419]    train-mlogloss:0.003514+0.000042    test-mlogloss:1.100614+0.037604 
## [420]    train-mlogloss:0.003509+0.000042    test-mlogloss:1.100615+0.037681 
## [421]    train-mlogloss:0.003505+0.000041    test-mlogloss:1.100947+0.037531 
## [422]    train-mlogloss:0.003500+0.000042    test-mlogloss:1.101014+0.037449 
## [423]    train-mlogloss:0.003495+0.000042    test-mlogloss:1.101368+0.037457 
## [424]    train-mlogloss:0.003490+0.000042    test-mlogloss:1.102056+0.037340 
## [425]    train-mlogloss:0.003485+0.000042    test-mlogloss:1.102165+0.037293 
## [426]    train-mlogloss:0.003481+0.000041    test-mlogloss:1.102350+0.037108 
## [427]    train-mlogloss:0.003476+0.000042    test-mlogloss:1.102765+0.037107 
## [428]    train-mlogloss:0.003472+0.000042    test-mlogloss:1.103068+0.037362 
## [429]    train-mlogloss:0.003467+0.000042    test-mlogloss:1.103324+0.037323 
## [430]    train-mlogloss:0.003462+0.000042    test-mlogloss:1.103853+0.037187 
## [431]    train-mlogloss:0.003458+0.000042    test-mlogloss:1.104024+0.037260 
## [432]    train-mlogloss:0.003454+0.000042    test-mlogloss:1.104077+0.037430 
## [433]    train-mlogloss:0.003450+0.000042    test-mlogloss:1.104110+0.037264 
## [434]    train-mlogloss:0.003445+0.000042    test-mlogloss:1.104563+0.037115 
## [435]    train-mlogloss:0.003441+0.000042    test-mlogloss:1.104627+0.037338 
## [436]    train-mlogloss:0.003436+0.000041    test-mlogloss:1.104880+0.037372 
## [437]    train-mlogloss:0.003432+0.000042    test-mlogloss:1.105020+0.037028 
## [438]    train-mlogloss:0.003428+0.000042    test-mlogloss:1.105298+0.036846 
## [439]    train-mlogloss:0.003423+0.000042    test-mlogloss:1.105638+0.036884 
## [440]    train-mlogloss:0.003420+0.000042    test-mlogloss:1.106031+0.037268 
## [441]    train-mlogloss:0.003416+0.000041    test-mlogloss:1.106287+0.037257 
## [442]    train-mlogloss:0.003411+0.000041    test-mlogloss:1.106378+0.037035 
## [443]    train-mlogloss:0.003407+0.000041    test-mlogloss:1.106726+0.037321 
## [444]    train-mlogloss:0.003403+0.000041    test-mlogloss:1.106734+0.037393 
## [445]    train-mlogloss:0.003398+0.000041    test-mlogloss:1.107302+0.037286 
## [446]    train-mlogloss:0.003394+0.000041    test-mlogloss:1.107609+0.037436 
## [447]    train-mlogloss:0.003390+0.000040    test-mlogloss:1.107824+0.037111 
## [448]    train-mlogloss:0.003386+0.000041    test-mlogloss:1.108085+0.036817 
## [449]    train-mlogloss:0.003382+0.000040    test-mlogloss:1.108406+0.036937 
## [450]    train-mlogloss:0.003378+0.000040    test-mlogloss:1.108495+0.036943 
## [451]    train-mlogloss:0.003373+0.000040    test-mlogloss:1.109002+0.037074 
## [452]    train-mlogloss:0.003369+0.000040    test-mlogloss:1.109236+0.037353 
## [453]    train-mlogloss:0.003365+0.000039    test-mlogloss:1.109121+0.037623 
## [454]    train-mlogloss:0.003361+0.000040    test-mlogloss:1.109325+0.037805 
## [455]    train-mlogloss:0.003357+0.000039    test-mlogloss:1.109664+0.037428 
## [456]    train-mlogloss:0.003353+0.000040    test-mlogloss:1.109685+0.037477 
## [457]    train-mlogloss:0.003349+0.000040    test-mlogloss:1.109964+0.037551 
## [458]    train-mlogloss:0.003345+0.000040    test-mlogloss:1.110348+0.037403 
## [459]    train-mlogloss:0.003341+0.000039    test-mlogloss:1.110723+0.037437 
## [460]    train-mlogloss:0.003337+0.000040    test-mlogloss:1.110662+0.037576 
## [461]    train-mlogloss:0.003333+0.000039    test-mlogloss:1.110579+0.037629 
## [462]    train-mlogloss:0.003329+0.000039    test-mlogloss:1.110880+0.037546 
## [463]    train-mlogloss:0.003326+0.000039    test-mlogloss:1.110958+0.037442 
## [464]    train-mlogloss:0.003322+0.000039    test-mlogloss:1.111212+0.037078 
## [465]    train-mlogloss:0.003318+0.000039    test-mlogloss:1.111563+0.037238 
## [466]    train-mlogloss:0.003314+0.000038    test-mlogloss:1.111625+0.037375 
## [467]    train-mlogloss:0.003309+0.000038    test-mlogloss:1.111954+0.037670 
## [468]    train-mlogloss:0.003305+0.000037    test-mlogloss:1.112098+0.037736 
## [469]    train-mlogloss:0.003301+0.000038    test-mlogloss:1.112249+0.037568 
## [470]    train-mlogloss:0.003298+0.000037    test-mlogloss:1.112624+0.037529 
## [471]    train-mlogloss:0.003294+0.000038    test-mlogloss:1.112854+0.037558 
## [472]    train-mlogloss:0.003290+0.000038    test-mlogloss:1.112945+0.037401 
## [473]    train-mlogloss:0.003286+0.000039    test-mlogloss:1.113366+0.037535 
## [474]    train-mlogloss:0.003282+0.000039    test-mlogloss:1.113864+0.037717 
## [475]    train-mlogloss:0.003279+0.000039    test-mlogloss:1.113942+0.037892 
## [476]    train-mlogloss:0.003275+0.000038    test-mlogloss:1.114031+0.038170 
## [477]    train-mlogloss:0.003272+0.000038    test-mlogloss:1.113977+0.038123 
## [478]    train-mlogloss:0.003267+0.000039    test-mlogloss:1.114392+0.038009 
## [479]    train-mlogloss:0.003264+0.000038    test-mlogloss:1.114416+0.037982 
## [480]    train-mlogloss:0.003261+0.000038    test-mlogloss:1.114498+0.037980 
## [481]    train-mlogloss:0.003257+0.000038    test-mlogloss:1.114884+0.038094 
## [482]    train-mlogloss:0.003253+0.000038    test-mlogloss:1.114855+0.038382 
## [483]    train-mlogloss:0.003250+0.000038    test-mlogloss:1.114988+0.038279 
## [484]    train-mlogloss:0.003247+0.000037    test-mlogloss:1.115247+0.038277 
## [485]    train-mlogloss:0.003244+0.000037    test-mlogloss:1.115631+0.038632 
## [486]    train-mlogloss:0.003240+0.000037    test-mlogloss:1.115704+0.038622 
## [487]    train-mlogloss:0.003237+0.000036    test-mlogloss:1.116140+0.038294 
## [488]    train-mlogloss:0.003233+0.000036    test-mlogloss:1.116067+0.038230 
## [489]    train-mlogloss:0.003229+0.000036    test-mlogloss:1.116265+0.038499 
## [490]    train-mlogloss:0.003226+0.000037    test-mlogloss:1.116369+0.038394 
## [491]    train-mlogloss:0.003223+0.000037    test-mlogloss:1.116602+0.038520 
## [492]    train-mlogloss:0.003219+0.000037    test-mlogloss:1.116637+0.038591 
## [493]    train-mlogloss:0.003216+0.000037    test-mlogloss:1.117232+0.038741 
## [494]    train-mlogloss:0.003212+0.000037    test-mlogloss:1.117361+0.038930 
## [495]    train-mlogloss:0.003209+0.000037    test-mlogloss:1.117281+0.038989 
## [496]    train-mlogloss:0.003205+0.000037    test-mlogloss:1.117616+0.038945 
## [497]    train-mlogloss:0.003202+0.000037    test-mlogloss:1.118115+0.039021 
## [498]    train-mlogloss:0.003198+0.000037    test-mlogloss:1.118123+0.039146 
## [499]    train-mlogloss:0.003196+0.000037    test-mlogloss:1.118445+0.039206 
## [500]    train-mlogloss:0.003192+0.000037    test-mlogloss:1.118639+0.039170 
## [1]  train-mlogloss:0.522561+0.003603    test-mlogloss:0.547190+0.010735 
## [2]  train-mlogloss:0.502138+0.004144    test-mlogloss:0.541558+0.013226 
## [3]  train-mlogloss:0.491440+0.003611    test-mlogloss:0.544379+0.013926 
## [4]  train-mlogloss:0.483697+0.005602    test-mlogloss:0.547081+0.015324 
## [5]  train-mlogloss:0.476893+0.003658    test-mlogloss:0.549002+0.015371 
## [6]  train-mlogloss:0.467064+0.002095    test-mlogloss:0.552371+0.016175 
## [7]  train-mlogloss:0.457550+0.004831    test-mlogloss:0.558664+0.015535 
## [8]  train-mlogloss:0.450447+0.006135    test-mlogloss:0.562414+0.016301 
## [9]  train-mlogloss:0.444355+0.005760    test-mlogloss:0.565461+0.017310 
## [10] train-mlogloss:0.437106+0.006644    test-mlogloss:0.567888+0.017998 
## [11] train-mlogloss:0.432354+0.005012    test-mlogloss:0.568097+0.018312 
## [12] train-mlogloss:0.423177+0.005304    test-mlogloss:0.570245+0.018318 
## [13] train-mlogloss:0.416384+0.004543    test-mlogloss:0.573345+0.017315 
## [14] train-mlogloss:0.408148+0.005546    test-mlogloss:0.577258+0.017041 
## [15] train-mlogloss:0.401419+0.006691    test-mlogloss:0.581213+0.020334 
## [16] train-mlogloss:0.395346+0.007295    test-mlogloss:0.584401+0.021919 
## [17] train-mlogloss:0.387814+0.007698    test-mlogloss:0.588207+0.023179 
## [18] train-mlogloss:0.379394+0.009134    test-mlogloss:0.592805+0.024093 
## [19] train-mlogloss:0.371655+0.010714    test-mlogloss:0.597080+0.025219 
## [20] train-mlogloss:0.364672+0.011003    test-mlogloss:0.600181+0.026335 
## [21] train-mlogloss:0.359297+0.011208    test-mlogloss:0.602272+0.027081 
## [22] train-mlogloss:0.354630+0.011810    test-mlogloss:0.605569+0.026979 
## [23] train-mlogloss:0.350278+0.010533    test-mlogloss:0.607484+0.026262 
## [24] train-mlogloss:0.345500+0.009458    test-mlogloss:0.609593+0.027145 
## [25] train-mlogloss:0.340375+0.010105    test-mlogloss:0.610868+0.027364 
## [26] train-mlogloss:0.335790+0.010374    test-mlogloss:0.613066+0.028494 
## [27] train-mlogloss:0.331774+0.010475    test-mlogloss:0.617120+0.028739 
## [28] train-mlogloss:0.327504+0.009512    test-mlogloss:0.619730+0.029727 
## [29] train-mlogloss:0.321354+0.009355    test-mlogloss:0.620732+0.030225 
## [30] train-mlogloss:0.316040+0.010124    test-mlogloss:0.623547+0.030140 
## [31] train-mlogloss:0.309433+0.009807    test-mlogloss:0.626250+0.030103 
## [32] train-mlogloss:0.305005+0.010194    test-mlogloss:0.627929+0.029548 
## [33] train-mlogloss:0.299631+0.010269    test-mlogloss:0.630718+0.031198 
## [34] train-mlogloss:0.295301+0.010763    test-mlogloss:0.632630+0.030860 
## [35] train-mlogloss:0.291140+0.011089    test-mlogloss:0.636374+0.032364 
## [36] train-mlogloss:0.288475+0.010680    test-mlogloss:0.636774+0.031991 
## [37] train-mlogloss:0.284057+0.010934    test-mlogloss:0.639389+0.033643 
## [38] train-mlogloss:0.278681+0.012259    test-mlogloss:0.642446+0.033521 
## [39] train-mlogloss:0.274561+0.014068    test-mlogloss:0.644387+0.033460 
## [40] train-mlogloss:0.271753+0.015191    test-mlogloss:0.645631+0.034241 
## [41] train-mlogloss:0.267811+0.016172    test-mlogloss:0.648314+0.034784 
## [42] train-mlogloss:0.261755+0.016092    test-mlogloss:0.650469+0.034477 
## [43] train-mlogloss:0.258611+0.016011    test-mlogloss:0.652079+0.034625 
## [44] train-mlogloss:0.255782+0.015643    test-mlogloss:0.652812+0.033949 
## [45] train-mlogloss:0.252337+0.013616    test-mlogloss:0.655158+0.033751 
## [46] train-mlogloss:0.249862+0.014021    test-mlogloss:0.657745+0.033082 
## [47] train-mlogloss:0.246189+0.014043    test-mlogloss:0.660730+0.031922 
## [48] train-mlogloss:0.241842+0.012191    test-mlogloss:0.663556+0.030581 
## [49] train-mlogloss:0.237063+0.011767    test-mlogloss:0.664561+0.030088 
## [50] train-mlogloss:0.232566+0.012500    test-mlogloss:0.666328+0.028705 
## [51] train-mlogloss:0.228709+0.012286    test-mlogloss:0.668431+0.027379 
## [52] train-mlogloss:0.224458+0.012054    test-mlogloss:0.671257+0.028182 
## [53] train-mlogloss:0.221262+0.012223    test-mlogloss:0.672350+0.028521 
## [54] train-mlogloss:0.218543+0.011630    test-mlogloss:0.673481+0.029682 
## [55] train-mlogloss:0.214715+0.011043    test-mlogloss:0.676290+0.028986 
## [56] train-mlogloss:0.211843+0.010966    test-mlogloss:0.678249+0.029364 
## [57] train-mlogloss:0.208571+0.010828    test-mlogloss:0.680124+0.030059 
## [58] train-mlogloss:0.206238+0.010533    test-mlogloss:0.682342+0.030846 
## [59] train-mlogloss:0.202860+0.010635    test-mlogloss:0.684467+0.032335 
## [60] train-mlogloss:0.198943+0.011598    test-mlogloss:0.688306+0.033021 
## [61] train-mlogloss:0.195042+0.010922    test-mlogloss:0.690391+0.032380 
## [62] train-mlogloss:0.191419+0.010821    test-mlogloss:0.692911+0.032693 
## [63] train-mlogloss:0.187919+0.010632    test-mlogloss:0.694509+0.032108 
## [64] train-mlogloss:0.185246+0.010729    test-mlogloss:0.696984+0.032861 
## [65] train-mlogloss:0.181764+0.010703    test-mlogloss:0.701591+0.031798 
## [66] train-mlogloss:0.179554+0.010064    test-mlogloss:0.702154+0.031971 
## [67] train-mlogloss:0.176611+0.010427    test-mlogloss:0.704593+0.031654 
## [68] train-mlogloss:0.174209+0.010590    test-mlogloss:0.708543+0.033417 
## [69] train-mlogloss:0.171612+0.010727    test-mlogloss:0.710458+0.034601 
## [70] train-mlogloss:0.168896+0.010185    test-mlogloss:0.713323+0.034097 
## [71] train-mlogloss:0.166114+0.010069    test-mlogloss:0.714319+0.033383 
## [72] train-mlogloss:0.163799+0.010505    test-mlogloss:0.716307+0.034652 
## [73] train-mlogloss:0.161272+0.011410    test-mlogloss:0.717859+0.035465 
## [74] train-mlogloss:0.159078+0.010809    test-mlogloss:0.721487+0.033002 
## [75] train-mlogloss:0.156829+0.010336    test-mlogloss:0.724072+0.034032 
## [76] train-mlogloss:0.154679+0.009501    test-mlogloss:0.726574+0.034368 
## [77] train-mlogloss:0.152147+0.009290    test-mlogloss:0.729020+0.035458 
## [78] train-mlogloss:0.150295+0.008979    test-mlogloss:0.730342+0.035419 
## [79] train-mlogloss:0.148265+0.008228    test-mlogloss:0.731572+0.036017 
## [80] train-mlogloss:0.145911+0.008403    test-mlogloss:0.734887+0.037274 
## [81] train-mlogloss:0.143640+0.008482    test-mlogloss:0.738043+0.036055 
## [82] train-mlogloss:0.141304+0.008111    test-mlogloss:0.739043+0.036533 
## [83] train-mlogloss:0.139188+0.007640    test-mlogloss:0.741378+0.035606 
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## [85] train-mlogloss:0.134695+0.008029    test-mlogloss:0.745991+0.036524 
## [86] train-mlogloss:0.132997+0.008468    test-mlogloss:0.747316+0.036750 
## [87] train-mlogloss:0.130824+0.007722    test-mlogloss:0.749680+0.036910 
## [88] train-mlogloss:0.128560+0.006963    test-mlogloss:0.752824+0.037236 
## [89] train-mlogloss:0.126961+0.006448    test-mlogloss:0.754060+0.036926 
## [90] train-mlogloss:0.125583+0.006051    test-mlogloss:0.755918+0.036255 
## [91] train-mlogloss:0.123235+0.006144    test-mlogloss:0.758157+0.034954 
## [92] train-mlogloss:0.121054+0.006044    test-mlogloss:0.760909+0.034570 
## [93] train-mlogloss:0.119798+0.005918    test-mlogloss:0.762473+0.035032 
## [94] train-mlogloss:0.117999+0.005851    test-mlogloss:0.763919+0.035212 
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## [493]    train-mlogloss:0.008235+0.000261    test-mlogloss:1.151068+0.052169 
## [494]    train-mlogloss:0.008215+0.000254    test-mlogloss:1.151378+0.051941 
## [495]    train-mlogloss:0.008196+0.000250    test-mlogloss:1.151590+0.051584 
## [496]    train-mlogloss:0.008166+0.000258    test-mlogloss:1.152225+0.051541 
## [497]    train-mlogloss:0.008143+0.000259    test-mlogloss:1.152679+0.052189 
## [498]    train-mlogloss:0.008127+0.000259    test-mlogloss:1.153840+0.051863 
## [499]    train-mlogloss:0.008111+0.000255    test-mlogloss:1.154302+0.052227 
## [500]    train-mlogloss:0.008085+0.000260    test-mlogloss:1.155046+0.051796 
## [1]  train-mlogloss:0.357053+0.005301    test-mlogloss:0.604255+0.010911 
## [2]  train-mlogloss:0.238585+0.004574    test-mlogloss:0.625748+0.013492 
## [3]  train-mlogloss:0.175301+0.005665    test-mlogloss:0.652053+0.013070 
## [4]  train-mlogloss:0.140691+0.003635    test-mlogloss:0.672037+0.008531 
## [5]  train-mlogloss:0.118850+0.006222    test-mlogloss:0.687353+0.004866 
## [6]  train-mlogloss:0.101588+0.006866    test-mlogloss:0.702538+0.006362 
## [7]  train-mlogloss:0.087932+0.003802    test-mlogloss:0.716293+0.009915 
## [8]  train-mlogloss:0.075796+0.003170    test-mlogloss:0.730173+0.012156 
## [9]  train-mlogloss:0.066814+0.002803    test-mlogloss:0.744875+0.013822 
## [10] train-mlogloss:0.059759+0.002088    test-mlogloss:0.757417+0.017462 
## [11] train-mlogloss:0.054315+0.001585    test-mlogloss:0.764490+0.017103 
## [12] train-mlogloss:0.049412+0.001347    test-mlogloss:0.773001+0.015720 
## [13] train-mlogloss:0.045280+0.000897    test-mlogloss:0.780896+0.016134 
## [14] train-mlogloss:0.042474+0.001120    test-mlogloss:0.786968+0.017594 
## [15] train-mlogloss:0.039868+0.001137    test-mlogloss:0.794447+0.016660 
## [16] train-mlogloss:0.037625+0.001103    test-mlogloss:0.801197+0.013310 
## [17] train-mlogloss:0.035464+0.001093    test-mlogloss:0.810383+0.013968 
## [18] train-mlogloss:0.033503+0.001102    test-mlogloss:0.815121+0.013781 
## [19] train-mlogloss:0.031702+0.000975    test-mlogloss:0.820340+0.012971 
## [20] train-mlogloss:0.029925+0.000880    test-mlogloss:0.825789+0.013230 
## [21] train-mlogloss:0.028447+0.000705    test-mlogloss:0.831345+0.012613 
## [22] train-mlogloss:0.027065+0.000604    test-mlogloss:0.836604+0.011948 
## [23] train-mlogloss:0.025873+0.000429    test-mlogloss:0.842484+0.011401 
## [24] train-mlogloss:0.024758+0.000378    test-mlogloss:0.848486+0.011131 
## [25] train-mlogloss:0.023781+0.000234    test-mlogloss:0.851577+0.012751 
## [26] train-mlogloss:0.022847+0.000294    test-mlogloss:0.856357+0.011743 
## [27] train-mlogloss:0.021982+0.000292    test-mlogloss:0.858424+0.014200 
## [28] train-mlogloss:0.021269+0.000264    test-mlogloss:0.864807+0.013930 
## [29] train-mlogloss:0.020556+0.000260    test-mlogloss:0.867168+0.013616 
## [30] train-mlogloss:0.019983+0.000190    test-mlogloss:0.870350+0.013375 
## [31] train-mlogloss:0.019327+0.000159    test-mlogloss:0.873591+0.012066 
## [32] train-mlogloss:0.018772+0.000181    test-mlogloss:0.875415+0.011312 
## [33] train-mlogloss:0.018233+0.000181    test-mlogloss:0.877459+0.011556 
## [34] train-mlogloss:0.017713+0.000178    test-mlogloss:0.880681+0.012191 
## [35] train-mlogloss:0.017246+0.000171    test-mlogloss:0.884822+0.011827 
## [36] train-mlogloss:0.016798+0.000173    test-mlogloss:0.888653+0.011785 
## [37] train-mlogloss:0.016357+0.000155    test-mlogloss:0.891758+0.013105 
## [38] train-mlogloss:0.015974+0.000172    test-mlogloss:0.894130+0.013753 
## [39] train-mlogloss:0.015603+0.000148    test-mlogloss:0.897071+0.014065 
## [40] train-mlogloss:0.015241+0.000140    test-mlogloss:0.899122+0.015028 
## [41] train-mlogloss:0.014940+0.000120    test-mlogloss:0.902275+0.014628 
## [42] train-mlogloss:0.014627+0.000126    test-mlogloss:0.904796+0.014568 
## [43] train-mlogloss:0.014328+0.000118    test-mlogloss:0.907686+0.013453 
## [44] train-mlogloss:0.014063+0.000098    test-mlogloss:0.910320+0.014441 
## [45] train-mlogloss:0.013782+0.000087    test-mlogloss:0.912704+0.015367 
## [46] train-mlogloss:0.013531+0.000094    test-mlogloss:0.914845+0.015244 
## [47] train-mlogloss:0.013281+0.000086    test-mlogloss:0.916608+0.014790 
## [48] train-mlogloss:0.013025+0.000088    test-mlogloss:0.919113+0.015049 
## [49] train-mlogloss:0.012801+0.000073    test-mlogloss:0.921586+0.015701 
## [50] train-mlogloss:0.012592+0.000075    test-mlogloss:0.924148+0.016570 
## [51] train-mlogloss:0.012378+0.000073    test-mlogloss:0.924881+0.016617 
## [52] train-mlogloss:0.012174+0.000082    test-mlogloss:0.927396+0.018032 
## [53] train-mlogloss:0.011989+0.000078    test-mlogloss:0.929374+0.018124 
## [54] train-mlogloss:0.011810+0.000074    test-mlogloss:0.932282+0.019243 
## [55] train-mlogloss:0.011626+0.000082    test-mlogloss:0.934319+0.018676 
## [56] train-mlogloss:0.011454+0.000078    test-mlogloss:0.936709+0.018447 
## [57] train-mlogloss:0.011294+0.000073    test-mlogloss:0.938366+0.019518 
## [58] train-mlogloss:0.011122+0.000078    test-mlogloss:0.940847+0.019545 
## [59] train-mlogloss:0.010972+0.000085    test-mlogloss:0.942125+0.019143 
## [60] train-mlogloss:0.010829+0.000095    test-mlogloss:0.943862+0.019059 
## [61] train-mlogloss:0.010681+0.000098    test-mlogloss:0.945807+0.020515 
## [62] train-mlogloss:0.010552+0.000103    test-mlogloss:0.946928+0.020685 
## [63] train-mlogloss:0.010420+0.000103    test-mlogloss:0.948967+0.021198 
## [64] train-mlogloss:0.010291+0.000099    test-mlogloss:0.951019+0.021510 
## [65] train-mlogloss:0.010167+0.000103    test-mlogloss:0.951204+0.021611 
## [66] train-mlogloss:0.010052+0.000103    test-mlogloss:0.952651+0.022421 
## [67] train-mlogloss:0.009937+0.000100    test-mlogloss:0.953995+0.021723 
## [68] train-mlogloss:0.009832+0.000099    test-mlogloss:0.954968+0.021725 
## [69] train-mlogloss:0.009726+0.000102    test-mlogloss:0.956274+0.020817 
## [70] train-mlogloss:0.009612+0.000100    test-mlogloss:0.957581+0.021260 
## [71] train-mlogloss:0.009503+0.000096    test-mlogloss:0.959792+0.020669 
## [72] train-mlogloss:0.009402+0.000094    test-mlogloss:0.961938+0.020652 
## [73] train-mlogloss:0.009303+0.000097    test-mlogloss:0.963343+0.020288 
## [74] train-mlogloss:0.009206+0.000094    test-mlogloss:0.964418+0.020737 
## [75] train-mlogloss:0.009114+0.000093    test-mlogloss:0.965908+0.020972 
## [76] train-mlogloss:0.009019+0.000091    test-mlogloss:0.967100+0.020014 
## [77] train-mlogloss:0.008938+0.000092    test-mlogloss:0.968693+0.019957 
## [78] train-mlogloss:0.008853+0.000085    test-mlogloss:0.969168+0.020092 
## [79] train-mlogloss:0.008761+0.000087    test-mlogloss:0.970905+0.019632 
## [80] train-mlogloss:0.008678+0.000087    test-mlogloss:0.972499+0.018762 
## [81] train-mlogloss:0.008596+0.000084    test-mlogloss:0.973653+0.018855 
## [82] train-mlogloss:0.008514+0.000083    test-mlogloss:0.974736+0.017971 
## [83] train-mlogloss:0.008441+0.000077    test-mlogloss:0.975591+0.017827 
## [84] train-mlogloss:0.008368+0.000065    test-mlogloss:0.976594+0.018358 
## [85] train-mlogloss:0.008289+0.000066    test-mlogloss:0.977928+0.018233 
## [86] train-mlogloss:0.008215+0.000072    test-mlogloss:0.979277+0.018801 
## [87] train-mlogloss:0.008137+0.000072    test-mlogloss:0.981060+0.019302 
## [88] train-mlogloss:0.008072+0.000072    test-mlogloss:0.982402+0.019225 
## [89] train-mlogloss:0.007999+0.000063    test-mlogloss:0.982818+0.019823 
## [90] train-mlogloss:0.007938+0.000064    test-mlogloss:0.983214+0.019485 
## [91] train-mlogloss:0.007878+0.000064    test-mlogloss:0.984010+0.020363 
## [92] train-mlogloss:0.007816+0.000071    test-mlogloss:0.985772+0.020419 
## [93] train-mlogloss:0.007757+0.000070    test-mlogloss:0.986512+0.020475 
## [94] train-mlogloss:0.007702+0.000077    test-mlogloss:0.988282+0.019628 
## [95] train-mlogloss:0.007643+0.000072    test-mlogloss:0.989295+0.019860 
## [96] train-mlogloss:0.007584+0.000069    test-mlogloss:0.990111+0.019694 
## [97] train-mlogloss:0.007527+0.000070    test-mlogloss:0.990409+0.020204 
## [98] train-mlogloss:0.007470+0.000067    test-mlogloss:0.991441+0.020123 
## [99] train-mlogloss:0.007413+0.000065    test-mlogloss:0.992625+0.019971 
## [100]    train-mlogloss:0.007357+0.000064    test-mlogloss:0.993471+0.020445 
## [101]    train-mlogloss:0.007299+0.000062    test-mlogloss:0.994541+0.021019 
## [102]    train-mlogloss:0.007252+0.000059    test-mlogloss:0.995552+0.021004 
## [103]    train-mlogloss:0.007198+0.000064    test-mlogloss:0.997856+0.021195 
## [104]    train-mlogloss:0.007148+0.000067    test-mlogloss:0.999128+0.021254 
## [105]    train-mlogloss:0.007099+0.000067    test-mlogloss:0.999690+0.020632 
## [106]    train-mlogloss:0.007051+0.000067    test-mlogloss:1.000303+0.020996 
## [107]    train-mlogloss:0.007004+0.000064    test-mlogloss:1.001443+0.020732 
## [108]    train-mlogloss:0.006959+0.000064    test-mlogloss:1.002098+0.021596 
## [109]    train-mlogloss:0.006913+0.000062    test-mlogloss:1.003211+0.021828 
## [110]    train-mlogloss:0.006867+0.000062    test-mlogloss:1.005025+0.021644 
## [111]    train-mlogloss:0.006822+0.000064    test-mlogloss:1.007045+0.021826 
## [112]    train-mlogloss:0.006780+0.000063    test-mlogloss:1.008472+0.021503 
## [113]    train-mlogloss:0.006738+0.000065    test-mlogloss:1.009165+0.021236 
## [114]    train-mlogloss:0.006699+0.000063    test-mlogloss:1.010201+0.021440 
## [115]    train-mlogloss:0.006660+0.000063    test-mlogloss:1.011125+0.021598 
## [116]    train-mlogloss:0.006618+0.000060    test-mlogloss:1.011880+0.021700 
## [117]    train-mlogloss:0.006581+0.000060    test-mlogloss:1.012281+0.022159 
## [118]    train-mlogloss:0.006540+0.000058    test-mlogloss:1.013098+0.021687 
## [119]    train-mlogloss:0.006504+0.000061    test-mlogloss:1.013586+0.022059 
## [120]    train-mlogloss:0.006471+0.000058    test-mlogloss:1.014096+0.022022 
## [121]    train-mlogloss:0.006434+0.000055    test-mlogloss:1.014950+0.022073 
## [122]    train-mlogloss:0.006402+0.000056    test-mlogloss:1.016306+0.022080 
## [123]    train-mlogloss:0.006367+0.000054    test-mlogloss:1.017154+0.021718 
## [124]    train-mlogloss:0.006333+0.000054    test-mlogloss:1.017171+0.022046 
## [125]    train-mlogloss:0.006299+0.000054    test-mlogloss:1.017704+0.022524 
## [126]    train-mlogloss:0.006267+0.000051    test-mlogloss:1.018303+0.023037 
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## [410]    train-mlogloss:0.003113+0.000006    test-mlogloss:1.132046+0.022451 
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## [413]    train-mlogloss:0.003101+0.000006    test-mlogloss:1.133108+0.022642 
## [414]    train-mlogloss:0.003097+0.000007    test-mlogloss:1.133515+0.022498 
## [415]    train-mlogloss:0.003093+0.000007    test-mlogloss:1.133695+0.022901 
## [416]    train-mlogloss:0.003088+0.000006    test-mlogloss:1.133572+0.022425 
## [417]    train-mlogloss:0.003084+0.000006    test-mlogloss:1.133574+0.022486 
## [418]    train-mlogloss:0.003081+0.000006    test-mlogloss:1.133569+0.022554 
## [419]    train-mlogloss:0.003077+0.000006    test-mlogloss:1.134053+0.022550 
## [420]    train-mlogloss:0.003073+0.000006    test-mlogloss:1.134252+0.022819 
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## [422]    train-mlogloss:0.003065+0.000006    test-mlogloss:1.134107+0.023276 
## [423]    train-mlogloss:0.003061+0.000006    test-mlogloss:1.134693+0.024068 
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## [426]    train-mlogloss:0.003051+0.000007    test-mlogloss:1.135099+0.023357 
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## [435]    train-mlogloss:0.003017+0.000007    test-mlogloss:1.137127+0.023293 
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## [438]    train-mlogloss:0.003007+0.000007    test-mlogloss:1.137738+0.024150 
## [439]    train-mlogloss:0.003004+0.000007    test-mlogloss:1.138127+0.023879 
## [440]    train-mlogloss:0.003000+0.000007    test-mlogloss:1.138512+0.023923 
## [441]    train-mlogloss:0.002997+0.000008    test-mlogloss:1.138759+0.023789 
## [442]    train-mlogloss:0.002994+0.000007    test-mlogloss:1.138374+0.023923 
## [443]    train-mlogloss:0.002990+0.000007    test-mlogloss:1.138808+0.023713 
## [444]    train-mlogloss:0.002986+0.000008    test-mlogloss:1.138633+0.023014 
## [445]    train-mlogloss:0.002983+0.000008    test-mlogloss:1.138983+0.023060 
## [446]    train-mlogloss:0.002979+0.000007    test-mlogloss:1.138987+0.023349 
## [447]    train-mlogloss:0.002976+0.000007    test-mlogloss:1.139121+0.023573 
## [448]    train-mlogloss:0.002973+0.000007    test-mlogloss:1.139354+0.023215 
## [449]    train-mlogloss:0.002969+0.000007    test-mlogloss:1.139887+0.023415 
## [450]    train-mlogloss:0.002966+0.000007    test-mlogloss:1.140261+0.023578 
## [451]    train-mlogloss:0.002962+0.000006    test-mlogloss:1.140429+0.023679 
## [452]    train-mlogloss:0.002958+0.000006    test-mlogloss:1.140730+0.023844 
## [453]    train-mlogloss:0.002955+0.000007    test-mlogloss:1.141039+0.023670 
## [454]    train-mlogloss:0.002952+0.000006    test-mlogloss:1.141279+0.023676 
## [455]    train-mlogloss:0.002948+0.000006    test-mlogloss:1.141592+0.023978 
## [456]    train-mlogloss:0.002945+0.000006    test-mlogloss:1.141488+0.023766 
## [457]    train-mlogloss:0.002942+0.000006    test-mlogloss:1.141888+0.023885 
## [458]    train-mlogloss:0.002937+0.000007    test-mlogloss:1.141953+0.024091 
## [459]    train-mlogloss:0.002934+0.000007    test-mlogloss:1.142126+0.023648 
## [460]    train-mlogloss:0.002931+0.000007    test-mlogloss:1.142108+0.023739 
## [461]    train-mlogloss:0.002927+0.000008    test-mlogloss:1.142358+0.023796 
## [462]    train-mlogloss:0.002924+0.000007    test-mlogloss:1.142140+0.024415 
## [463]    train-mlogloss:0.002921+0.000007    test-mlogloss:1.142428+0.024253 
## [464]    train-mlogloss:0.002918+0.000007    test-mlogloss:1.142749+0.024129 
## [465]    train-mlogloss:0.002915+0.000007    test-mlogloss:1.143139+0.024287 
## [466]    train-mlogloss:0.002911+0.000008    test-mlogloss:1.143041+0.023935 
## [467]    train-mlogloss:0.002908+0.000008    test-mlogloss:1.143510+0.023711 
## [468]    train-mlogloss:0.002905+0.000008    test-mlogloss:1.143511+0.023616 
## [469]    train-mlogloss:0.002902+0.000008    test-mlogloss:1.143484+0.023499 
## [470]    train-mlogloss:0.002898+0.000007    test-mlogloss:1.143821+0.023356 
## [471]    train-mlogloss:0.002895+0.000007    test-mlogloss:1.144125+0.023464 
## [472]    train-mlogloss:0.002892+0.000007    test-mlogloss:1.144111+0.023150 
## [473]    train-mlogloss:0.002889+0.000007    test-mlogloss:1.144261+0.022977 
## [474]    train-mlogloss:0.002886+0.000008    test-mlogloss:1.144214+0.023530 
## [475]    train-mlogloss:0.002882+0.000007    test-mlogloss:1.144185+0.023249 
## [476]    train-mlogloss:0.002878+0.000006    test-mlogloss:1.144631+0.023349 
## [477]    train-mlogloss:0.002875+0.000007    test-mlogloss:1.144585+0.023302 
## [478]    train-mlogloss:0.002872+0.000006    test-mlogloss:1.144836+0.023427 
## [479]    train-mlogloss:0.002869+0.000006    test-mlogloss:1.144802+0.023596 
## [480]    train-mlogloss:0.002866+0.000006    test-mlogloss:1.145153+0.023628 
## [481]    train-mlogloss:0.002862+0.000006    test-mlogloss:1.145107+0.023524 
## [482]    train-mlogloss:0.002860+0.000006    test-mlogloss:1.145443+0.023268 
## [483]    train-mlogloss:0.002856+0.000006    test-mlogloss:1.145565+0.023359 
## [484]    train-mlogloss:0.002853+0.000006    test-mlogloss:1.145712+0.023601 
## [485]    train-mlogloss:0.002849+0.000006    test-mlogloss:1.145964+0.023578 
## [486]    train-mlogloss:0.002846+0.000006    test-mlogloss:1.146290+0.023825 
## [487]    train-mlogloss:0.002843+0.000006    test-mlogloss:1.146631+0.024058 
## [488]    train-mlogloss:0.002840+0.000006    test-mlogloss:1.146633+0.023881 
## [489]    train-mlogloss:0.002837+0.000006    test-mlogloss:1.146657+0.024071 
## [490]    train-mlogloss:0.002834+0.000006    test-mlogloss:1.146653+0.023834 
## [491]    train-mlogloss:0.002832+0.000006    test-mlogloss:1.147132+0.024041 
## [492]    train-mlogloss:0.002829+0.000005    test-mlogloss:1.147470+0.024290 
## [493]    train-mlogloss:0.002826+0.000006    test-mlogloss:1.147798+0.024088 
## [494]    train-mlogloss:0.002823+0.000006    test-mlogloss:1.147582+0.024068 
## [495]    train-mlogloss:0.002820+0.000006    test-mlogloss:1.147685+0.024399 
## [496]    train-mlogloss:0.002817+0.000006    test-mlogloss:1.148081+0.024570 
## [497]    train-mlogloss:0.002815+0.000006    test-mlogloss:1.148071+0.024395 
## [498]    train-mlogloss:0.002812+0.000005    test-mlogloss:1.148397+0.024275 
## [499]    train-mlogloss:0.002810+0.000006    test-mlogloss:1.148466+0.024567 
## [500]    train-mlogloss:0.002807+0.000005    test-mlogloss:1.148349+0.024465 
## [1]  train-mlogloss:0.614312+0.001420    test-mlogloss:0.620829+0.003810 
## [2]  train-mlogloss:0.570205+0.001426    test-mlogloss:0.583605+0.006060 
## [3]  train-mlogloss:0.543589+0.002074    test-mlogloss:0.563301+0.007369 
## [4]  train-mlogloss:0.526058+0.001837    test-mlogloss:0.550780+0.008551 
## [5]  train-mlogloss:0.513890+0.002226    test-mlogloss:0.543743+0.009059 
## [6]  train-mlogloss:0.505134+0.002152    test-mlogloss:0.539897+0.009296 
## [7]  train-mlogloss:0.497980+0.002769    test-mlogloss:0.538344+0.009154 
## [8]  train-mlogloss:0.492517+0.002964    test-mlogloss:0.536736+0.009347 
## [9]  train-mlogloss:0.487667+0.002860    test-mlogloss:0.536537+0.009574 
## [10] train-mlogloss:0.484103+0.002562    test-mlogloss:0.536642+0.009902 
## [11] train-mlogloss:0.480479+0.002283    test-mlogloss:0.537173+0.009899 
## [12] train-mlogloss:0.476492+0.002906    test-mlogloss:0.538419+0.010619 
## [13] train-mlogloss:0.473243+0.002896    test-mlogloss:0.538946+0.010649 
## [14] train-mlogloss:0.470331+0.002652    test-mlogloss:0.539341+0.010655 
## [15] train-mlogloss:0.467502+0.002949    test-mlogloss:0.539943+0.011169 
## [16] train-mlogloss:0.463800+0.003316    test-mlogloss:0.540184+0.011744 
## [17] train-mlogloss:0.460722+0.003749    test-mlogloss:0.541133+0.011605 
## [18] train-mlogloss:0.457735+0.003621    test-mlogloss:0.542278+0.011404 
## [19] train-mlogloss:0.454942+0.003965    test-mlogloss:0.543120+0.011219 
## [20] train-mlogloss:0.452061+0.004153    test-mlogloss:0.543594+0.011198 
## [21] train-mlogloss:0.449381+0.004025    test-mlogloss:0.543945+0.011134 
## [22] train-mlogloss:0.446754+0.003447    test-mlogloss:0.545128+0.010691 
## [23] train-mlogloss:0.444392+0.002851    test-mlogloss:0.545418+0.009902 
## [24] train-mlogloss:0.441867+0.003302    test-mlogloss:0.545779+0.010128 
## [25] train-mlogloss:0.439326+0.003666    test-mlogloss:0.546695+0.010061 
## [26] train-mlogloss:0.436224+0.003730    test-mlogloss:0.547919+0.009798 
## [27] train-mlogloss:0.434070+0.003821    test-mlogloss:0.548035+0.009417 
## [28] train-mlogloss:0.431598+0.003610    test-mlogloss:0.548842+0.009353 
## [29] train-mlogloss:0.428906+0.003789    test-mlogloss:0.549173+0.009687 
## [30] train-mlogloss:0.426066+0.003799    test-mlogloss:0.549044+0.009173 
## [31] train-mlogloss:0.423398+0.003839    test-mlogloss:0.549393+0.008994 
## [32] train-mlogloss:0.419852+0.004072    test-mlogloss:0.550032+0.008853 
## [33] train-mlogloss:0.417346+0.004250    test-mlogloss:0.550788+0.008850 
## [34] train-mlogloss:0.415166+0.004242    test-mlogloss:0.551281+0.008889 
## [35] train-mlogloss:0.412498+0.004718    test-mlogloss:0.552076+0.009462 
## [36] train-mlogloss:0.410068+0.004866    test-mlogloss:0.553411+0.009450 
## [37] train-mlogloss:0.407240+0.004086    test-mlogloss:0.554307+0.009254 
## [38] train-mlogloss:0.404916+0.004214    test-mlogloss:0.555389+0.008585 
## [39] train-mlogloss:0.402564+0.003985    test-mlogloss:0.556102+0.008608 
## [40] train-mlogloss:0.400241+0.004042    test-mlogloss:0.556946+0.008855 
## [41] train-mlogloss:0.397470+0.003733    test-mlogloss:0.557497+0.008853 
## [42] train-mlogloss:0.394847+0.003544    test-mlogloss:0.558295+0.008632 
## [43] train-mlogloss:0.392535+0.004042    test-mlogloss:0.558424+0.008879 
## [44] train-mlogloss:0.389747+0.004233    test-mlogloss:0.559304+0.009253 
## [45] train-mlogloss:0.387801+0.004664    test-mlogloss:0.560543+0.009735 
## [46] train-mlogloss:0.385237+0.004618    test-mlogloss:0.560884+0.009550 
## [47] train-mlogloss:0.382791+0.004654    test-mlogloss:0.561810+0.009479 
## [48] train-mlogloss:0.380310+0.005179    test-mlogloss:0.563195+0.009961 
## [49] train-mlogloss:0.378034+0.004999    test-mlogloss:0.564604+0.009920 
## [50] train-mlogloss:0.375799+0.004924    test-mlogloss:0.565633+0.010164 
## [51] train-mlogloss:0.373598+0.005412    test-mlogloss:0.566790+0.010300 
## [52] train-mlogloss:0.371108+0.005497    test-mlogloss:0.567845+0.010674 
## [53] train-mlogloss:0.369086+0.005330    test-mlogloss:0.568085+0.010334 
## [54] train-mlogloss:0.367234+0.005580    test-mlogloss:0.568335+0.010430 
## [55] train-mlogloss:0.364909+0.005558    test-mlogloss:0.569140+0.010810 
## [56] train-mlogloss:0.363095+0.005394    test-mlogloss:0.569986+0.010533 
## [57] train-mlogloss:0.361260+0.005676    test-mlogloss:0.570543+0.010614 
## [58] train-mlogloss:0.359307+0.005271    test-mlogloss:0.571394+0.010712 
## [59] train-mlogloss:0.357058+0.005250    test-mlogloss:0.572482+0.010458 
## [60] train-mlogloss:0.354986+0.005199    test-mlogloss:0.572708+0.010862 
## [61] train-mlogloss:0.352691+0.004765    test-mlogloss:0.573169+0.010598 
## [62] train-mlogloss:0.350231+0.004712    test-mlogloss:0.574032+0.010154 
## [63] train-mlogloss:0.348439+0.004301    test-mlogloss:0.574727+0.009685 
## [64] train-mlogloss:0.346706+0.004640    test-mlogloss:0.575755+0.010723 
## [65] train-mlogloss:0.344818+0.004592    test-mlogloss:0.575701+0.010582 
## [66] train-mlogloss:0.342389+0.004829    test-mlogloss:0.576341+0.011035 
## [67] train-mlogloss:0.340640+0.005258    test-mlogloss:0.577323+0.011779 
## [68] train-mlogloss:0.339097+0.005501    test-mlogloss:0.577664+0.011780 
## [69] train-mlogloss:0.337243+0.005268    test-mlogloss:0.578758+0.011384 
## [70] train-mlogloss:0.335232+0.005274    test-mlogloss:0.579339+0.011355 
## [71] train-mlogloss:0.333317+0.005568    test-mlogloss:0.579987+0.011992 
## [72] train-mlogloss:0.331647+0.005220    test-mlogloss:0.580539+0.012551 
## [73] train-mlogloss:0.330148+0.005147    test-mlogloss:0.580838+0.013090 
## [74] train-mlogloss:0.328408+0.004796    test-mlogloss:0.581463+0.012634 
## [75] train-mlogloss:0.326439+0.004659    test-mlogloss:0.582024+0.013042 
## [76] train-mlogloss:0.324575+0.004874    test-mlogloss:0.583021+0.012931 
## [77] train-mlogloss:0.322700+0.004693    test-mlogloss:0.583807+0.012765 
## [78] train-mlogloss:0.320905+0.004874    test-mlogloss:0.584944+0.013294 
## [79] train-mlogloss:0.319434+0.004951    test-mlogloss:0.585831+0.012799 
## [80] train-mlogloss:0.318106+0.004920    test-mlogloss:0.586227+0.013297 
## [81] train-mlogloss:0.316423+0.004653    test-mlogloss:0.586678+0.014130 
## [82] train-mlogloss:0.314450+0.004805    test-mlogloss:0.586985+0.014368 
## [83] train-mlogloss:0.312755+0.004899    test-mlogloss:0.587860+0.014092 
## [84] train-mlogloss:0.310813+0.004905    test-mlogloss:0.587817+0.013198 
## [85] train-mlogloss:0.309108+0.004649    test-mlogloss:0.589006+0.012639 
## [86] train-mlogloss:0.307481+0.004713    test-mlogloss:0.589244+0.013303 
## [87] train-mlogloss:0.305809+0.004384    test-mlogloss:0.589434+0.013298 
## [88] train-mlogloss:0.304117+0.004225    test-mlogloss:0.590013+0.013723 
## [89] train-mlogloss:0.302813+0.004216    test-mlogloss:0.590806+0.013612 
## [90] train-mlogloss:0.301042+0.003971    test-mlogloss:0.591146+0.013931 
## [91] train-mlogloss:0.299143+0.004178    test-mlogloss:0.592264+0.014553 
## [92] train-mlogloss:0.297512+0.004244    test-mlogloss:0.592858+0.014582 
## [93] train-mlogloss:0.295798+0.004433    test-mlogloss:0.593730+0.014534 
## [94] train-mlogloss:0.293998+0.004090    test-mlogloss:0.594928+0.014067 
## [95] train-mlogloss:0.292033+0.004332    test-mlogloss:0.594968+0.014148 
## [96] train-mlogloss:0.290193+0.004238    test-mlogloss:0.596147+0.014323 
## [97] train-mlogloss:0.288652+0.004342    test-mlogloss:0.596804+0.014158 
## [98] train-mlogloss:0.287477+0.004345    test-mlogloss:0.597558+0.014080 
## [99] train-mlogloss:0.286211+0.004185    test-mlogloss:0.597651+0.013799 
## [100]    train-mlogloss:0.285238+0.003973    test-mlogloss:0.598442+0.014123 
## [101]    train-mlogloss:0.283706+0.003914    test-mlogloss:0.598435+0.015248 
## [102]    train-mlogloss:0.282154+0.003909    test-mlogloss:0.598632+0.015274 
## [103]    train-mlogloss:0.280662+0.003968    test-mlogloss:0.599655+0.015561 
## [104]    train-mlogloss:0.278807+0.004209    test-mlogloss:0.600054+0.015393 
## [105]    train-mlogloss:0.277572+0.004103    test-mlogloss:0.601134+0.015056 
## [106]    train-mlogloss:0.275992+0.004007    test-mlogloss:0.601349+0.015509 
## [107]    train-mlogloss:0.274570+0.004022    test-mlogloss:0.601844+0.016248 
## [108]    train-mlogloss:0.273203+0.004260    test-mlogloss:0.602793+0.016315 
## [109]    train-mlogloss:0.271935+0.004468    test-mlogloss:0.603558+0.016276 
## [110]    train-mlogloss:0.270660+0.004423    test-mlogloss:0.603910+0.016167 
## [111]    train-mlogloss:0.269148+0.004505    test-mlogloss:0.603862+0.015929 
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## [500]    train-mlogloss:0.050390+0.001070    test-mlogloss:0.815191+0.029197 
## [1]  train-mlogloss:0.578518+0.002265    test-mlogloss:0.629383+0.003547 
## [2]  train-mlogloss:0.505012+0.002412    test-mlogloss:0.597264+0.006753 
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## [5]  train-mlogloss:0.369522+0.002244    test-mlogloss:0.566130+0.012773 
## [6]  train-mlogloss:0.339409+0.002113    test-mlogloss:0.564195+0.015255 
## [7]  train-mlogloss:0.313467+0.002109    test-mlogloss:0.564858+0.016483 
## [8]  train-mlogloss:0.292031+0.002212    test-mlogloss:0.566352+0.017241 
## [9]  train-mlogloss:0.272951+0.002614    test-mlogloss:0.569285+0.017571 
## [10] train-mlogloss:0.258565+0.004400    test-mlogloss:0.570643+0.019674 
## [11] train-mlogloss:0.244699+0.005048    test-mlogloss:0.573841+0.019593 
## [12] train-mlogloss:0.232361+0.005072    test-mlogloss:0.576954+0.020720 
## [13] train-mlogloss:0.221720+0.004524    test-mlogloss:0.580097+0.021366 
## [14] train-mlogloss:0.210069+0.004455    test-mlogloss:0.583711+0.022896 
## [15] train-mlogloss:0.200014+0.004316    test-mlogloss:0.587798+0.023875 
## [16] train-mlogloss:0.190119+0.004073    test-mlogloss:0.591449+0.024800 
## [17] train-mlogloss:0.181320+0.003554    test-mlogloss:0.594803+0.025506 
## [18] train-mlogloss:0.173502+0.003759    test-mlogloss:0.598471+0.026667 
## [19] train-mlogloss:0.167238+0.004455    test-mlogloss:0.601598+0.027495 
## [20] train-mlogloss:0.159911+0.004003    test-mlogloss:0.604477+0.027673 
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## [22] train-mlogloss:0.147715+0.002892    test-mlogloss:0.610161+0.029258 
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## [25] train-mlogloss:0.131346+0.002751    test-mlogloss:0.619642+0.031539 
## [26] train-mlogloss:0.126755+0.002815    test-mlogloss:0.623065+0.032066 
## [27] train-mlogloss:0.122006+0.002822    test-mlogloss:0.626558+0.032133 
## [28] train-mlogloss:0.117870+0.002575    test-mlogloss:0.630212+0.032444 
## [29] train-mlogloss:0.114146+0.002443    test-mlogloss:0.633635+0.033752 
## [30] train-mlogloss:0.110250+0.002402    test-mlogloss:0.636716+0.035194 
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## [32] train-mlogloss:0.103290+0.002110    test-mlogloss:0.641953+0.035766 
## [33] train-mlogloss:0.100320+0.001975    test-mlogloss:0.644679+0.035549 
## [34] train-mlogloss:0.097518+0.001714    test-mlogloss:0.646909+0.035642 
## [35] train-mlogloss:0.094665+0.001679    test-mlogloss:0.649038+0.036145 
## [36] train-mlogloss:0.091955+0.001654    test-mlogloss:0.652205+0.036248 
## [37] train-mlogloss:0.089392+0.001568    test-mlogloss:0.653973+0.037285 
## [38] train-mlogloss:0.086915+0.001454    test-mlogloss:0.656464+0.037828 
## [39] train-mlogloss:0.084574+0.001404    test-mlogloss:0.658701+0.037686 
## [40] train-mlogloss:0.082361+0.001290    test-mlogloss:0.662029+0.038240 
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## [43] train-mlogloss:0.076554+0.001335    test-mlogloss:0.669107+0.039296 
## [44] train-mlogloss:0.074734+0.001310    test-mlogloss:0.670647+0.039555 
## [45] train-mlogloss:0.073055+0.001347    test-mlogloss:0.672398+0.039544 
## [46] train-mlogloss:0.071385+0.001251    test-mlogloss:0.674164+0.039312 
## [47] train-mlogloss:0.069844+0.001166    test-mlogloss:0.677392+0.039468 
## [48] train-mlogloss:0.068256+0.001146    test-mlogloss:0.680123+0.038899 
## [49] train-mlogloss:0.066770+0.001122    test-mlogloss:0.681848+0.038827 
## [50] train-mlogloss:0.065373+0.001061    test-mlogloss:0.684198+0.039258 
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## [52] train-mlogloss:0.062794+0.001100    test-mlogloss:0.688829+0.039224 
## [53] train-mlogloss:0.061506+0.001034    test-mlogloss:0.690794+0.039458 
## [54] train-mlogloss:0.060325+0.000967    test-mlogloss:0.692025+0.039694 
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## [56] train-mlogloss:0.058044+0.000900    test-mlogloss:0.695108+0.039977 
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## [59] train-mlogloss:0.055000+0.000847    test-mlogloss:0.699427+0.041363 
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## [62] train-mlogloss:0.052248+0.000772    test-mlogloss:0.705332+0.042371 
## [63] train-mlogloss:0.051370+0.000746    test-mlogloss:0.707230+0.042628 
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## [65] train-mlogloss:0.049778+0.000677    test-mlogloss:0.711053+0.042568 
## [66] train-mlogloss:0.049007+0.000689    test-mlogloss:0.712163+0.042766 
## [67] train-mlogloss:0.048272+0.000665    test-mlogloss:0.714306+0.042999 
## [68] train-mlogloss:0.047570+0.000679    test-mlogloss:0.715678+0.042589 
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## [70] train-mlogloss:0.046179+0.000702    test-mlogloss:0.719188+0.043712 
## [71] train-mlogloss:0.045566+0.000703    test-mlogloss:0.719975+0.043654 
## [72] train-mlogloss:0.044951+0.000724    test-mlogloss:0.721009+0.044295 
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## [76] train-mlogloss:0.042620+0.000711    test-mlogloss:0.726964+0.044355 
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## [79] train-mlogloss:0.040990+0.000700    test-mlogloss:0.731077+0.043817 
## [80] train-mlogloss:0.040501+0.000679    test-mlogloss:0.732921+0.044073 
## [81] train-mlogloss:0.040006+0.000678    test-mlogloss:0.734358+0.044326 
## [82] train-mlogloss:0.039503+0.000675    test-mlogloss:0.736064+0.044826 
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## [431]    train-mlogloss:0.009991+0.000113    test-mlogloss:0.922563+0.058389 
## [432]    train-mlogloss:0.009972+0.000113    test-mlogloss:0.922961+0.058546 
## [433]    train-mlogloss:0.009957+0.000113    test-mlogloss:0.923048+0.058477 
## [434]    train-mlogloss:0.009942+0.000110    test-mlogloss:0.923494+0.058151 
## [435]    train-mlogloss:0.009926+0.000112    test-mlogloss:0.923984+0.058008 
## [436]    train-mlogloss:0.009910+0.000111    test-mlogloss:0.924178+0.057888 
## [437]    train-mlogloss:0.009895+0.000110    test-mlogloss:0.924328+0.058108 
## [438]    train-mlogloss:0.009880+0.000109    test-mlogloss:0.924598+0.058020 
## [439]    train-mlogloss:0.009864+0.000109    test-mlogloss:0.924791+0.058359 
## [440]    train-mlogloss:0.009846+0.000109    test-mlogloss:0.925258+0.058331 
## [441]    train-mlogloss:0.009832+0.000110    test-mlogloss:0.925396+0.058417 
## [442]    train-mlogloss:0.009817+0.000108    test-mlogloss:0.925650+0.058018 
## [443]    train-mlogloss:0.009801+0.000108    test-mlogloss:0.925889+0.058107 
## [444]    train-mlogloss:0.009785+0.000108    test-mlogloss:0.926198+0.058027 
## [445]    train-mlogloss:0.009771+0.000109    test-mlogloss:0.926338+0.057888 
## [446]    train-mlogloss:0.009756+0.000109    test-mlogloss:0.926140+0.057725 
## [447]    train-mlogloss:0.009742+0.000108    test-mlogloss:0.926556+0.057847 
## [448]    train-mlogloss:0.009727+0.000108    test-mlogloss:0.926933+0.058099 
## [449]    train-mlogloss:0.009712+0.000107    test-mlogloss:0.927016+0.058020 
## [450]    train-mlogloss:0.009698+0.000107    test-mlogloss:0.927159+0.058357 
## [451]    train-mlogloss:0.009681+0.000107    test-mlogloss:0.927572+0.058761 
## [452]    train-mlogloss:0.009665+0.000107    test-mlogloss:0.927957+0.058521 
## [453]    train-mlogloss:0.009650+0.000106    test-mlogloss:0.928383+0.058676 
## [454]    train-mlogloss:0.009636+0.000106    test-mlogloss:0.928449+0.058463 
## [455]    train-mlogloss:0.009621+0.000107    test-mlogloss:0.928789+0.058231 
## [456]    train-mlogloss:0.009608+0.000107    test-mlogloss:0.929101+0.058285 
## [457]    train-mlogloss:0.009594+0.000108    test-mlogloss:0.929485+0.058492 
## [458]    train-mlogloss:0.009580+0.000107    test-mlogloss:0.929610+0.057981 
## [459]    train-mlogloss:0.009566+0.000108    test-mlogloss:0.930140+0.058342 
## [460]    train-mlogloss:0.009551+0.000109    test-mlogloss:0.930120+0.057925 
## [461]    train-mlogloss:0.009539+0.000109    test-mlogloss:0.930417+0.057556 
## [462]    train-mlogloss:0.009526+0.000109    test-mlogloss:0.931008+0.057825 
## [463]    train-mlogloss:0.009512+0.000108    test-mlogloss:0.931230+0.057825 
## [464]    train-mlogloss:0.009500+0.000107    test-mlogloss:0.931406+0.058170 
## [465]    train-mlogloss:0.009487+0.000109    test-mlogloss:0.931513+0.058523 
## [466]    train-mlogloss:0.009472+0.000108    test-mlogloss:0.931996+0.058296 
## [467]    train-mlogloss:0.009458+0.000109    test-mlogloss:0.932039+0.058397 
## [468]    train-mlogloss:0.009443+0.000109    test-mlogloss:0.932235+0.058564 
## [469]    train-mlogloss:0.009431+0.000108    test-mlogloss:0.932632+0.058439 
## [470]    train-mlogloss:0.009416+0.000107    test-mlogloss:0.932983+0.058506 
## [471]    train-mlogloss:0.009403+0.000106    test-mlogloss:0.933249+0.058742 
## [472]    train-mlogloss:0.009390+0.000107    test-mlogloss:0.933425+0.058557 
## [473]    train-mlogloss:0.009375+0.000105    test-mlogloss:0.933930+0.058657 
## [474]    train-mlogloss:0.009361+0.000107    test-mlogloss:0.934024+0.058474 
## [475]    train-mlogloss:0.009347+0.000106    test-mlogloss:0.934512+0.058872 
## [476]    train-mlogloss:0.009334+0.000107    test-mlogloss:0.935175+0.058706 
## [477]    train-mlogloss:0.009321+0.000107    test-mlogloss:0.935319+0.058444 
## [478]    train-mlogloss:0.009308+0.000107    test-mlogloss:0.935161+0.058678 
## [479]    train-mlogloss:0.009294+0.000106    test-mlogloss:0.935577+0.058737 
## [480]    train-mlogloss:0.009282+0.000106    test-mlogloss:0.935551+0.058780 
## [481]    train-mlogloss:0.009267+0.000105    test-mlogloss:0.935833+0.058784 
## [482]    train-mlogloss:0.009254+0.000106    test-mlogloss:0.936059+0.058788 
## [483]    train-mlogloss:0.009240+0.000105    test-mlogloss:0.936104+0.058599 
## [484]    train-mlogloss:0.009225+0.000103    test-mlogloss:0.936134+0.058423 
## [485]    train-mlogloss:0.009211+0.000102    test-mlogloss:0.936011+0.058718 
## [486]    train-mlogloss:0.009198+0.000102    test-mlogloss:0.936405+0.058473 
## [487]    train-mlogloss:0.009187+0.000102    test-mlogloss:0.936572+0.058619 
## [488]    train-mlogloss:0.009174+0.000102    test-mlogloss:0.936889+0.059024 
## [489]    train-mlogloss:0.009160+0.000103    test-mlogloss:0.937317+0.058953 
## [490]    train-mlogloss:0.009149+0.000104    test-mlogloss:0.937796+0.058899 
## [491]    train-mlogloss:0.009136+0.000103    test-mlogloss:0.938008+0.058987 
## [492]    train-mlogloss:0.009125+0.000101    test-mlogloss:0.938185+0.059175 
## [493]    train-mlogloss:0.009111+0.000102    test-mlogloss:0.938674+0.059318 
## [494]    train-mlogloss:0.009097+0.000101    test-mlogloss:0.939088+0.059202 
## [495]    train-mlogloss:0.009087+0.000100    test-mlogloss:0.939114+0.059223 
## [496]    train-mlogloss:0.009076+0.000099    test-mlogloss:0.939576+0.059697 
## [497]    train-mlogloss:0.009063+0.000099    test-mlogloss:0.939685+0.059405 
## [498]    train-mlogloss:0.009050+0.000099    test-mlogloss:0.939566+0.059232 
## [499]    train-mlogloss:0.009039+0.000096    test-mlogloss:0.939829+0.058887 
## [500]    train-mlogloss:0.009027+0.000096    test-mlogloss:0.939723+0.058857 
## [1]  train-mlogloss:0.538829+0.001152    test-mlogloss:0.557895+0.003736 
## [2]  train-mlogloss:0.509638+0.002341    test-mlogloss:0.544188+0.005727 
## [3]  train-mlogloss:0.498379+0.002480    test-mlogloss:0.543948+0.006989 
## [4]  train-mlogloss:0.489550+0.004102    test-mlogloss:0.546916+0.007181 
## [5]  train-mlogloss:0.481241+0.004516    test-mlogloss:0.551646+0.007601 
## [6]  train-mlogloss:0.473796+0.005572    test-mlogloss:0.556550+0.008360 
## [7]  train-mlogloss:0.467131+0.005803    test-mlogloss:0.559270+0.008993 
## [8]  train-mlogloss:0.460404+0.006634    test-mlogloss:0.563598+0.010279 
## [9]  train-mlogloss:0.450694+0.006375    test-mlogloss:0.567128+0.010514 
## [10] train-mlogloss:0.443890+0.007010    test-mlogloss:0.570101+0.010010 
## [11] train-mlogloss:0.438332+0.008079    test-mlogloss:0.572897+0.011480 
## [12] train-mlogloss:0.431202+0.009194    test-mlogloss:0.575510+0.013128 
## [13] train-mlogloss:0.425212+0.009392    test-mlogloss:0.576917+0.013662 
## [14] train-mlogloss:0.417596+0.008406    test-mlogloss:0.581253+0.010922 
## [15] train-mlogloss:0.410862+0.008338    test-mlogloss:0.581631+0.010877 
## [16] train-mlogloss:0.404916+0.008999    test-mlogloss:0.585960+0.012109 
## [17] train-mlogloss:0.398753+0.009594    test-mlogloss:0.589181+0.012814 
## [18] train-mlogloss:0.393656+0.010041    test-mlogloss:0.591501+0.013913 
## [19] train-mlogloss:0.389449+0.009537    test-mlogloss:0.594470+0.014062 
## [20] train-mlogloss:0.384986+0.009357    test-mlogloss:0.597002+0.015366 
## [21] train-mlogloss:0.378222+0.009452    test-mlogloss:0.601658+0.015585 
## [22] train-mlogloss:0.372671+0.008616    test-mlogloss:0.605587+0.016005 
## [23] train-mlogloss:0.367028+0.007658    test-mlogloss:0.610036+0.015260 
## [24] train-mlogloss:0.361588+0.006327    test-mlogloss:0.613654+0.014642 
## [25] train-mlogloss:0.357368+0.005644    test-mlogloss:0.616124+0.012846 
## [26] train-mlogloss:0.352282+0.006949    test-mlogloss:0.620074+0.013730 
## [27] train-mlogloss:0.347600+0.006827    test-mlogloss:0.622531+0.015086 
## [28] train-mlogloss:0.342881+0.006297    test-mlogloss:0.623365+0.014073 
## [29] train-mlogloss:0.337896+0.006166    test-mlogloss:0.626298+0.013865 
## [30] train-mlogloss:0.332797+0.006720    test-mlogloss:0.628139+0.012463 
## [31] train-mlogloss:0.328901+0.006998    test-mlogloss:0.631409+0.015763 
## [32] train-mlogloss:0.325106+0.006698    test-mlogloss:0.634562+0.015671 
## [33] train-mlogloss:0.320358+0.007088    test-mlogloss:0.635234+0.016113 
## [34] train-mlogloss:0.315696+0.007012    test-mlogloss:0.636665+0.015892 
## [35] train-mlogloss:0.311644+0.007547    test-mlogloss:0.637561+0.015991 
## [36] train-mlogloss:0.307226+0.008000    test-mlogloss:0.641409+0.017294 
## [37] train-mlogloss:0.303455+0.008473    test-mlogloss:0.643668+0.018032 
## [38] train-mlogloss:0.299907+0.008549    test-mlogloss:0.645946+0.018781 
## [39] train-mlogloss:0.294940+0.009593    test-mlogloss:0.650512+0.019630 
## [40] train-mlogloss:0.290964+0.010009    test-mlogloss:0.655367+0.020049 
## [41] train-mlogloss:0.287040+0.010141    test-mlogloss:0.656786+0.020886 
## [42] train-mlogloss:0.283020+0.009944    test-mlogloss:0.659651+0.019436 
## [43] train-mlogloss:0.278970+0.009873    test-mlogloss:0.663631+0.020387 
## [44] train-mlogloss:0.275703+0.009734    test-mlogloss:0.666535+0.020829 
## [45] train-mlogloss:0.272129+0.009113    test-mlogloss:0.669718+0.019729 
## [46] train-mlogloss:0.267881+0.009148    test-mlogloss:0.671503+0.018583 
## [47] train-mlogloss:0.264581+0.009004    test-mlogloss:0.674259+0.019837 
## [48] train-mlogloss:0.260970+0.009074    test-mlogloss:0.678277+0.022116 
## [49] train-mlogloss:0.258152+0.008983    test-mlogloss:0.681772+0.025688 
## [50] train-mlogloss:0.254820+0.008815    test-mlogloss:0.683947+0.023684 
## [51] train-mlogloss:0.251646+0.008888    test-mlogloss:0.686550+0.021823 
## [52] train-mlogloss:0.248407+0.009215    test-mlogloss:0.688478+0.021202 
## [53] train-mlogloss:0.245043+0.009520    test-mlogloss:0.690134+0.021973 
## [54] train-mlogloss:0.241856+0.009344    test-mlogloss:0.692989+0.022071 
## [55] train-mlogloss:0.238428+0.008764    test-mlogloss:0.695328+0.022124 
## [56] train-mlogloss:0.235335+0.008401    test-mlogloss:0.698079+0.022469 
## [57] train-mlogloss:0.232113+0.007790    test-mlogloss:0.701143+0.020949 
## [58] train-mlogloss:0.229382+0.008453    test-mlogloss:0.701975+0.022881 
## [59] train-mlogloss:0.225912+0.008782    test-mlogloss:0.704579+0.022744 
## [60] train-mlogloss:0.223086+0.008469    test-mlogloss:0.705860+0.023705 
## [61] train-mlogloss:0.220247+0.008207    test-mlogloss:0.707212+0.023492 
## [62] train-mlogloss:0.217005+0.007878    test-mlogloss:0.710068+0.024417 
## [63] train-mlogloss:0.214589+0.007688    test-mlogloss:0.711386+0.026079 
## [64] train-mlogloss:0.211697+0.007868    test-mlogloss:0.713938+0.026462 
## [65] train-mlogloss:0.208841+0.007256    test-mlogloss:0.715768+0.025031 
## [66] train-mlogloss:0.206280+0.006370    test-mlogloss:0.719625+0.024956 
## [67] train-mlogloss:0.203535+0.006652    test-mlogloss:0.721598+0.026903 
## [68] train-mlogloss:0.200778+0.006138    test-mlogloss:0.723151+0.023643 
## [69] train-mlogloss:0.198117+0.005726    test-mlogloss:0.726135+0.023174 
## [70] train-mlogloss:0.194967+0.005497    test-mlogloss:0.729132+0.024736 
## [71] train-mlogloss:0.192279+0.005437    test-mlogloss:0.730813+0.025864 
## [72] train-mlogloss:0.189737+0.005168    test-mlogloss:0.731375+0.026959 
## [73] train-mlogloss:0.187075+0.004924    test-mlogloss:0.734259+0.025849 
## [74] train-mlogloss:0.184577+0.004914    test-mlogloss:0.736024+0.024441 
## [75] train-mlogloss:0.182137+0.004725    test-mlogloss:0.738380+0.025249 
## [76] train-mlogloss:0.179895+0.005000    test-mlogloss:0.739887+0.027841 
## [77] train-mlogloss:0.177361+0.005412    test-mlogloss:0.745078+0.028312 
## [78] train-mlogloss:0.174969+0.005421    test-mlogloss:0.746874+0.027248 
## [79] train-mlogloss:0.172190+0.005450    test-mlogloss:0.749379+0.027509 
## [80] train-mlogloss:0.170194+0.005522    test-mlogloss:0.749853+0.028556 
## [81] train-mlogloss:0.168318+0.005132    test-mlogloss:0.750772+0.028036 
## [82] train-mlogloss:0.166125+0.005116    test-mlogloss:0.754463+0.027585 
## [83] train-mlogloss:0.163993+0.005191    test-mlogloss:0.756200+0.027004 
## [84] train-mlogloss:0.162162+0.005296    test-mlogloss:0.759274+0.025479 
## [85] train-mlogloss:0.160108+0.005284    test-mlogloss:0.762591+0.027298 
## [86] train-mlogloss:0.157881+0.004995    test-mlogloss:0.765985+0.026231 
## [87] train-mlogloss:0.155662+0.005159    test-mlogloss:0.768135+0.027882 
## [88] train-mlogloss:0.153782+0.004930    test-mlogloss:0.770651+0.027394 
## [89] train-mlogloss:0.151680+0.004852    test-mlogloss:0.771514+0.028930 
## [90] train-mlogloss:0.149644+0.005157    test-mlogloss:0.772560+0.029093 
## [91] train-mlogloss:0.147913+0.004622    test-mlogloss:0.775886+0.028500 
## [92] train-mlogloss:0.146040+0.004844    test-mlogloss:0.777334+0.029902 
## [93] train-mlogloss:0.143752+0.004665    test-mlogloss:0.780438+0.030797 
## [94] train-mlogloss:0.141751+0.004933    test-mlogloss:0.780766+0.029410 
## [95] train-mlogloss:0.139969+0.004823    test-mlogloss:0.782921+0.029401 
## [96] train-mlogloss:0.138398+0.004958    test-mlogloss:0.784704+0.029579 
## [97] train-mlogloss:0.136576+0.004690    test-mlogloss:0.786756+0.028821 
## [98] train-mlogloss:0.135003+0.004511    test-mlogloss:0.788884+0.028654 
## [99] train-mlogloss:0.133437+0.004351    test-mlogloss:0.792503+0.027787 
## [100]    train-mlogloss:0.131892+0.004358    test-mlogloss:0.793581+0.028370 
## [101]    train-mlogloss:0.130281+0.004210    test-mlogloss:0.794615+0.028017 
## [102]    train-mlogloss:0.128537+0.004244    test-mlogloss:0.796298+0.026694 
## [103]    train-mlogloss:0.127314+0.004183    test-mlogloss:0.798205+0.026068 
## [104]    train-mlogloss:0.125506+0.004266    test-mlogloss:0.798502+0.026170 
## [105]    train-mlogloss:0.124067+0.004093    test-mlogloss:0.800272+0.026091 
## [106]    train-mlogloss:0.122594+0.004077    test-mlogloss:0.800064+0.025840 
## [107]    train-mlogloss:0.121083+0.003997    test-mlogloss:0.802781+0.026825 
## [108]    train-mlogloss:0.119370+0.004223    test-mlogloss:0.804580+0.026631 
## [109]    train-mlogloss:0.117945+0.004034    test-mlogloss:0.808449+0.027607 
## [110]    train-mlogloss:0.116558+0.003831    test-mlogloss:0.810555+0.028938 
## [111]    train-mlogloss:0.115241+0.003944    test-mlogloss:0.813860+0.029242 
## [112]    train-mlogloss:0.113802+0.003936    test-mlogloss:0.814745+0.029339 
## [113]    train-mlogloss:0.112244+0.003616    test-mlogloss:0.816474+0.028751 
## [114]    train-mlogloss:0.111024+0.003487    test-mlogloss:0.817952+0.030345 
## [115]    train-mlogloss:0.109750+0.003419    test-mlogloss:0.818426+0.030923 
## [116]    train-mlogloss:0.108356+0.003185    test-mlogloss:0.822149+0.032498 
## [117]    train-mlogloss:0.107150+0.003190    test-mlogloss:0.823577+0.032472 
## [118]    train-mlogloss:0.105736+0.003020    test-mlogloss:0.825866+0.032886 
## [119]    train-mlogloss:0.104521+0.003093    test-mlogloss:0.829107+0.033276 
## [120]    train-mlogloss:0.103227+0.003055    test-mlogloss:0.830654+0.034245 
## [121]    train-mlogloss:0.102024+0.003221    test-mlogloss:0.831930+0.033957 
## [122]    train-mlogloss:0.100964+0.003446    test-mlogloss:0.834659+0.033652 
## [123]    train-mlogloss:0.099789+0.003564    test-mlogloss:0.835603+0.032573 
## [124]    train-mlogloss:0.098570+0.003472    test-mlogloss:0.835507+0.031564 
## [125]    train-mlogloss:0.097107+0.003373    test-mlogloss:0.838136+0.031202 
## [126]    train-mlogloss:0.095902+0.003368    test-mlogloss:0.840176+0.030843 
## [127]    train-mlogloss:0.094786+0.003194    test-mlogloss:0.842160+0.030685 
## [128]    train-mlogloss:0.093441+0.003233    test-mlogloss:0.843295+0.031254 
## [129]    train-mlogloss:0.092336+0.003079    test-mlogloss:0.845275+0.030498 
## [130]    train-mlogloss:0.091095+0.003229    test-mlogloss:0.849627+0.031024 
## [131]    train-mlogloss:0.090008+0.003056    test-mlogloss:0.852315+0.030604 
## [132]    train-mlogloss:0.088924+0.002871    test-mlogloss:0.853809+0.030643 
## [133]    train-mlogloss:0.088056+0.002703    test-mlogloss:0.855595+0.029516 
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## [494]    train-mlogloss:0.010606+0.000135    test-mlogloss:1.175904+0.035876 
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## [498]    train-mlogloss:0.010492+0.000128    test-mlogloss:1.178205+0.035116 
## [499]    train-mlogloss:0.010463+0.000128    test-mlogloss:1.179272+0.035000 
## [500]    train-mlogloss:0.010444+0.000129    test-mlogloss:1.179667+0.034438 
## [1]  train-mlogloss:0.462790+0.003518    test-mlogloss:0.588552+0.006192 
## [2]  train-mlogloss:0.370149+0.002709    test-mlogloss:0.594436+0.008173 
## [3]  train-mlogloss:0.309960+0.002888    test-mlogloss:0.612051+0.011163 
## [4]  train-mlogloss:0.264644+0.000912    test-mlogloss:0.629873+0.013416 
## [5]  train-mlogloss:0.229681+0.003117    test-mlogloss:0.652924+0.016109 
## [6]  train-mlogloss:0.204408+0.003858    test-mlogloss:0.664770+0.016389 
## [7]  train-mlogloss:0.183080+0.004435    test-mlogloss:0.676136+0.013778 
## [8]  train-mlogloss:0.162918+0.004991    test-mlogloss:0.691966+0.018162 
## [9]  train-mlogloss:0.146471+0.004010    test-mlogloss:0.706576+0.017642 
## [10] train-mlogloss:0.133842+0.003430    test-mlogloss:0.715564+0.018022 
## [11] train-mlogloss:0.120797+0.003504    test-mlogloss:0.724820+0.019938 
## [12] train-mlogloss:0.110669+0.003003    test-mlogloss:0.735590+0.018183 
## [13] train-mlogloss:0.101937+0.002559    test-mlogloss:0.743028+0.018566 
## [14] train-mlogloss:0.094239+0.002533    test-mlogloss:0.751623+0.016609 
## [15] train-mlogloss:0.087599+0.002081    test-mlogloss:0.754585+0.014277 
## [16] train-mlogloss:0.081688+0.001989    test-mlogloss:0.761263+0.014041 
## [17] train-mlogloss:0.076530+0.001979    test-mlogloss:0.768475+0.014920 
## [18] train-mlogloss:0.071897+0.001952    test-mlogloss:0.775012+0.016355 
## [19] train-mlogloss:0.067714+0.001712    test-mlogloss:0.783598+0.016376 
## [20] train-mlogloss:0.064205+0.001609    test-mlogloss:0.787813+0.015312 
## [21] train-mlogloss:0.061043+0.001540    test-mlogloss:0.795186+0.016402 
## [22] train-mlogloss:0.058058+0.001463    test-mlogloss:0.800807+0.016003 
## [23] train-mlogloss:0.055334+0.001435    test-mlogloss:0.807399+0.016244 
## [24] train-mlogloss:0.052903+0.001451    test-mlogloss:0.812561+0.018235 
## [25] train-mlogloss:0.050634+0.001136    test-mlogloss:0.817177+0.019797 
## [26] train-mlogloss:0.048625+0.001014    test-mlogloss:0.821705+0.019391 
## [27] train-mlogloss:0.046798+0.000951    test-mlogloss:0.827690+0.020803 
## [28] train-mlogloss:0.045016+0.000772    test-mlogloss:0.831714+0.021361 
## [29] train-mlogloss:0.043411+0.000635    test-mlogloss:0.834759+0.022532 
## [30] train-mlogloss:0.041906+0.000564    test-mlogloss:0.838814+0.020801 
## [31] train-mlogloss:0.040578+0.000599    test-mlogloss:0.841584+0.022392 
## [32] train-mlogloss:0.039294+0.000572    test-mlogloss:0.842968+0.021749 
## [33] train-mlogloss:0.038082+0.000496    test-mlogloss:0.847145+0.021752 
## [34] train-mlogloss:0.036991+0.000552    test-mlogloss:0.851759+0.021487 
## [35] train-mlogloss:0.035910+0.000502    test-mlogloss:0.855939+0.021190 
## [36] train-mlogloss:0.034897+0.000541    test-mlogloss:0.858463+0.019874 
## [37] train-mlogloss:0.033960+0.000470    test-mlogloss:0.863564+0.020089 
## [38] train-mlogloss:0.033027+0.000494    test-mlogloss:0.867027+0.019747 
## [39] train-mlogloss:0.032145+0.000487    test-mlogloss:0.872402+0.018855 
## [40] train-mlogloss:0.031339+0.000511    test-mlogloss:0.875894+0.019089 
## [41] train-mlogloss:0.030633+0.000474    test-mlogloss:0.880345+0.018770 
## [42] train-mlogloss:0.029879+0.000452    test-mlogloss:0.882558+0.020760 
## [43] train-mlogloss:0.029180+0.000430    test-mlogloss:0.884834+0.021124 
## [44] train-mlogloss:0.028581+0.000428    test-mlogloss:0.888266+0.021295 
## [45] train-mlogloss:0.027996+0.000437    test-mlogloss:0.890895+0.022414 
## [46] train-mlogloss:0.027423+0.000358    test-mlogloss:0.894560+0.022431 
## [47] train-mlogloss:0.026879+0.000357    test-mlogloss:0.897096+0.023840 
## [48] train-mlogloss:0.026323+0.000302    test-mlogloss:0.900050+0.023474 
## [49] train-mlogloss:0.025843+0.000277    test-mlogloss:0.902988+0.023146 
## [50] train-mlogloss:0.025373+0.000251    test-mlogloss:0.905106+0.024444 
## [51] train-mlogloss:0.024923+0.000235    test-mlogloss:0.908459+0.024599 
## [52] train-mlogloss:0.024498+0.000218    test-mlogloss:0.907576+0.024366 
## [53] train-mlogloss:0.024103+0.000258    test-mlogloss:0.910288+0.023711 
## [54] train-mlogloss:0.023711+0.000237    test-mlogloss:0.911795+0.024050 
## [55] train-mlogloss:0.023338+0.000213    test-mlogloss:0.912702+0.023800 
## [56] train-mlogloss:0.022969+0.000206    test-mlogloss:0.914913+0.023655 
## [57] train-mlogloss:0.022602+0.000202    test-mlogloss:0.918254+0.023962 
## [58] train-mlogloss:0.022237+0.000206    test-mlogloss:0.920858+0.023457 
## [59] train-mlogloss:0.021877+0.000184    test-mlogloss:0.923732+0.023373 
## [60] train-mlogloss:0.021561+0.000174    test-mlogloss:0.924006+0.024584 
## [61] train-mlogloss:0.021249+0.000165    test-mlogloss:0.923823+0.025167 
## [62] train-mlogloss:0.020936+0.000175    test-mlogloss:0.927158+0.025728 
## [63] train-mlogloss:0.020647+0.000199    test-mlogloss:0.927372+0.025501 
## [64] train-mlogloss:0.020344+0.000179    test-mlogloss:0.928699+0.024160 
## [65] train-mlogloss:0.020096+0.000176    test-mlogloss:0.931189+0.023949 
## [66] train-mlogloss:0.019859+0.000159    test-mlogloss:0.933558+0.024778 
## [67] train-mlogloss:0.019621+0.000151    test-mlogloss:0.934313+0.024835 
## [68] train-mlogloss:0.019381+0.000146    test-mlogloss:0.934734+0.024594 
## [69] train-mlogloss:0.019131+0.000131    test-mlogloss:0.937179+0.024970 
## [70] train-mlogloss:0.018892+0.000142    test-mlogloss:0.937936+0.024671 
## [71] train-mlogloss:0.018664+0.000152    test-mlogloss:0.939255+0.025605 
## [72] train-mlogloss:0.018452+0.000150    test-mlogloss:0.940676+0.025753 
## [73] train-mlogloss:0.018254+0.000168    test-mlogloss:0.941864+0.027047 
## [74] train-mlogloss:0.018037+0.000165    test-mlogloss:0.942660+0.027114 
## [75] train-mlogloss:0.017833+0.000157    test-mlogloss:0.944673+0.026151 
## [76] train-mlogloss:0.017636+0.000192    test-mlogloss:0.945986+0.027229 
## [77] train-mlogloss:0.017442+0.000189    test-mlogloss:0.947891+0.027224 
## [78] train-mlogloss:0.017254+0.000176    test-mlogloss:0.949420+0.028252 
## [79] train-mlogloss:0.017070+0.000174    test-mlogloss:0.949204+0.028100 
## [80] train-mlogloss:0.016889+0.000191    test-mlogloss:0.950578+0.029160 
## [81] train-mlogloss:0.016717+0.000195    test-mlogloss:0.951606+0.028603 
## [82] train-mlogloss:0.016548+0.000194    test-mlogloss:0.951619+0.029654 
## [83] train-mlogloss:0.016368+0.000180    test-mlogloss:0.952724+0.029250 
## [84] train-mlogloss:0.016209+0.000179    test-mlogloss:0.953954+0.029648 
## [85] train-mlogloss:0.016040+0.000176    test-mlogloss:0.955578+0.030548 
## [86] train-mlogloss:0.015888+0.000161    test-mlogloss:0.956328+0.031780 
## [87] train-mlogloss:0.015728+0.000154    test-mlogloss:0.958308+0.031677 
## [88] train-mlogloss:0.015582+0.000156    test-mlogloss:0.959535+0.031841 
## [89] train-mlogloss:0.015458+0.000172    test-mlogloss:0.961563+0.031279 
## [90] train-mlogloss:0.015325+0.000178    test-mlogloss:0.960861+0.030996 
## [91] train-mlogloss:0.015202+0.000174    test-mlogloss:0.961823+0.032067 
## [92] train-mlogloss:0.015061+0.000178    test-mlogloss:0.964038+0.031576 
## [93] train-mlogloss:0.014935+0.000179    test-mlogloss:0.965216+0.031177 
## [94] train-mlogloss:0.014810+0.000177    test-mlogloss:0.966255+0.030180 
## [95] train-mlogloss:0.014702+0.000165    test-mlogloss:0.967106+0.031344 
## [96] train-mlogloss:0.014572+0.000164    test-mlogloss:0.968604+0.032016 
## [97] train-mlogloss:0.014461+0.000166    test-mlogloss:0.969294+0.033288 
## [98] train-mlogloss:0.014337+0.000164    test-mlogloss:0.972183+0.032074 
## [99] train-mlogloss:0.014215+0.000155    test-mlogloss:0.972311+0.031594 
## [100]    train-mlogloss:0.014101+0.000154    test-mlogloss:0.974727+0.032946 
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## [103]    train-mlogloss:0.013794+0.000168    test-mlogloss:0.977425+0.031798 
## [104]    train-mlogloss:0.013688+0.000156    test-mlogloss:0.977619+0.031098 
## [105]    train-mlogloss:0.013589+0.000155    test-mlogloss:0.978689+0.031507 
## [106]    train-mlogloss:0.013481+0.000148    test-mlogloss:0.980159+0.032035 
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## [108]    train-mlogloss:0.013284+0.000149    test-mlogloss:0.981235+0.032310 
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## [461]    train-mlogloss:0.005105+0.000024    test-mlogloss:1.127630+0.034715 
## [462]    train-mlogloss:0.005098+0.000023    test-mlogloss:1.128043+0.035305 
## [463]    train-mlogloss:0.005092+0.000023    test-mlogloss:1.128087+0.035701 
## [464]    train-mlogloss:0.005087+0.000022    test-mlogloss:1.127948+0.035657 
## [465]    train-mlogloss:0.005081+0.000021    test-mlogloss:1.127607+0.035521 
## [466]    train-mlogloss:0.005073+0.000022    test-mlogloss:1.128483+0.034868 
## [467]    train-mlogloss:0.005069+0.000023    test-mlogloss:1.129254+0.034527 
## [468]    train-mlogloss:0.005062+0.000022    test-mlogloss:1.129079+0.035014 
## [469]    train-mlogloss:0.005057+0.000023    test-mlogloss:1.129607+0.035300 
## [470]    train-mlogloss:0.005050+0.000022    test-mlogloss:1.130068+0.034913 
## [471]    train-mlogloss:0.005044+0.000022    test-mlogloss:1.129815+0.035223 
## [472]    train-mlogloss:0.005036+0.000022    test-mlogloss:1.129648+0.035305 
## [473]    train-mlogloss:0.005029+0.000020    test-mlogloss:1.129564+0.035159 
## [474]    train-mlogloss:0.005024+0.000022    test-mlogloss:1.129480+0.034396 
## [475]    train-mlogloss:0.005018+0.000020    test-mlogloss:1.129698+0.035455 
## [476]    train-mlogloss:0.005012+0.000021    test-mlogloss:1.129192+0.035321 
## [477]    train-mlogloss:0.005006+0.000019    test-mlogloss:1.129230+0.035681 
## [478]    train-mlogloss:0.005000+0.000020    test-mlogloss:1.128557+0.035088 
## [479]    train-mlogloss:0.004993+0.000019    test-mlogloss:1.129074+0.034585 
## [480]    train-mlogloss:0.004988+0.000019    test-mlogloss:1.129507+0.035596 
## [481]    train-mlogloss:0.004983+0.000017    test-mlogloss:1.129296+0.035670 
## [482]    train-mlogloss:0.004976+0.000016    test-mlogloss:1.129774+0.034878 
## [483]    train-mlogloss:0.004972+0.000016    test-mlogloss:1.130522+0.035026 
## [484]    train-mlogloss:0.004968+0.000016    test-mlogloss:1.130791+0.035241 
## [485]    train-mlogloss:0.004960+0.000019    test-mlogloss:1.129810+0.035294 
## [486]    train-mlogloss:0.004955+0.000017    test-mlogloss:1.129971+0.035809 
## [487]    train-mlogloss:0.004951+0.000017    test-mlogloss:1.130899+0.036066 
## [488]    train-mlogloss:0.004946+0.000018    test-mlogloss:1.131063+0.036149 
## [489]    train-mlogloss:0.004940+0.000018    test-mlogloss:1.131631+0.036838 
## [490]    train-mlogloss:0.004933+0.000019    test-mlogloss:1.131505+0.037178 
## [491]    train-mlogloss:0.004927+0.000019    test-mlogloss:1.132100+0.037352 
## [492]    train-mlogloss:0.004921+0.000020    test-mlogloss:1.133219+0.036901 
## [493]    train-mlogloss:0.004916+0.000020    test-mlogloss:1.133103+0.036697 
## [494]    train-mlogloss:0.004910+0.000020    test-mlogloss:1.132665+0.036962 
## [495]    train-mlogloss:0.004906+0.000019    test-mlogloss:1.132571+0.037418 
## [496]    train-mlogloss:0.004901+0.000019    test-mlogloss:1.132752+0.037644 
## [497]    train-mlogloss:0.004896+0.000019    test-mlogloss:1.132759+0.037363 
## [498]    train-mlogloss:0.004892+0.000021    test-mlogloss:1.132791+0.037831 
## [499]    train-mlogloss:0.004886+0.000021    test-mlogloss:1.133964+0.037001 
## [500]    train-mlogloss:0.004881+0.000021    test-mlogloss:1.133660+0.038236 
## [1]  train-mlogloss:0.525030+0.001957    test-mlogloss:0.550068+0.003877 
## [2]  train-mlogloss:0.506144+0.002330    test-mlogloss:0.545991+0.005724 
## [3]  train-mlogloss:0.496171+0.002786    test-mlogloss:0.546900+0.007641 
## [4]  train-mlogloss:0.486148+0.003100    test-mlogloss:0.553783+0.006893 
## [5]  train-mlogloss:0.476843+0.004042    test-mlogloss:0.558990+0.007627 
## [6]  train-mlogloss:0.467212+0.004823    test-mlogloss:0.563938+0.007195 
## [7]  train-mlogloss:0.460412+0.004516    test-mlogloss:0.570167+0.008255 
## [8]  train-mlogloss:0.451901+0.003243    test-mlogloss:0.576432+0.009939 
## [9]  train-mlogloss:0.443060+0.004739    test-mlogloss:0.583640+0.009161 
## [10] train-mlogloss:0.435003+0.004899    test-mlogloss:0.589254+0.011678 
## [11] train-mlogloss:0.426942+0.006117    test-mlogloss:0.597497+0.011953 
## [12] train-mlogloss:0.420059+0.006002    test-mlogloss:0.602634+0.012628 
## [13] train-mlogloss:0.413356+0.006811    test-mlogloss:0.606269+0.015048 
## [14] train-mlogloss:0.404876+0.007958    test-mlogloss:0.611651+0.015827 
## [15] train-mlogloss:0.398703+0.007077    test-mlogloss:0.617103+0.016102 
## [16] train-mlogloss:0.391672+0.006977    test-mlogloss:0.621378+0.017110 
## [17] train-mlogloss:0.384308+0.007318    test-mlogloss:0.628155+0.019011 
## [18] train-mlogloss:0.377752+0.007112    test-mlogloss:0.632545+0.017104 
## [19] train-mlogloss:0.370591+0.007255    test-mlogloss:0.640807+0.016060 
## [20] train-mlogloss:0.364253+0.008452    test-mlogloss:0.644205+0.017276 
## [21] train-mlogloss:0.358064+0.008622    test-mlogloss:0.646129+0.017957 
## [22] train-mlogloss:0.353534+0.008848    test-mlogloss:0.646926+0.019030 
## [23] train-mlogloss:0.347527+0.008799    test-mlogloss:0.652267+0.018902 
## [24] train-mlogloss:0.341635+0.007910    test-mlogloss:0.656323+0.017894 
## [25] train-mlogloss:0.336381+0.008152    test-mlogloss:0.663479+0.013129 
## [26] train-mlogloss:0.330513+0.007666    test-mlogloss:0.668453+0.010207 
## [27] train-mlogloss:0.324105+0.006744    test-mlogloss:0.672739+0.012823 
## [28] train-mlogloss:0.318158+0.007014    test-mlogloss:0.672832+0.014164 
## [29] train-mlogloss:0.312520+0.006565    test-mlogloss:0.679956+0.014280 
## [30] train-mlogloss:0.307076+0.005911    test-mlogloss:0.685195+0.013475 
## [31] train-mlogloss:0.301774+0.006140    test-mlogloss:0.689835+0.015304 
## [32] train-mlogloss:0.296520+0.006719    test-mlogloss:0.693008+0.015949 
## [33] train-mlogloss:0.290812+0.007151    test-mlogloss:0.697623+0.018443 
## [34] train-mlogloss:0.285119+0.007028    test-mlogloss:0.702148+0.021378 
## [35] train-mlogloss:0.280307+0.007190    test-mlogloss:0.705844+0.020521 
## [36] train-mlogloss:0.276006+0.006811    test-mlogloss:0.710150+0.021169 
## [37] train-mlogloss:0.271305+0.006240    test-mlogloss:0.712444+0.018898 
## [38] train-mlogloss:0.267108+0.005636    test-mlogloss:0.717498+0.022511 
## [39] train-mlogloss:0.262661+0.005427    test-mlogloss:0.722460+0.023849 
## [40] train-mlogloss:0.258327+0.005084    test-mlogloss:0.726875+0.023447 
## [41] train-mlogloss:0.254445+0.005149    test-mlogloss:0.727884+0.024909 
## [42] train-mlogloss:0.249814+0.005473    test-mlogloss:0.732366+0.025372 
## [43] train-mlogloss:0.245713+0.005897    test-mlogloss:0.735222+0.024969 
## [44] train-mlogloss:0.242761+0.006158    test-mlogloss:0.737906+0.027077 
## [45] train-mlogloss:0.238626+0.005568    test-mlogloss:0.743365+0.026674 
## [46] train-mlogloss:0.233778+0.004915    test-mlogloss:0.746591+0.025791 
## [47] train-mlogloss:0.229739+0.004170    test-mlogloss:0.749759+0.025668 
## [48] train-mlogloss:0.225481+0.003616    test-mlogloss:0.757254+0.024586 
## [49] train-mlogloss:0.221468+0.003583    test-mlogloss:0.760062+0.024102 
## [50] train-mlogloss:0.217860+0.003786    test-mlogloss:0.764463+0.021112 
## [51] train-mlogloss:0.214086+0.004031    test-mlogloss:0.768232+0.022282 
## [52] train-mlogloss:0.210350+0.004550    test-mlogloss:0.771783+0.023014 
## [53] train-mlogloss:0.207010+0.004838    test-mlogloss:0.772937+0.022250 
## [54] train-mlogloss:0.203694+0.005189    test-mlogloss:0.775899+0.022387 
## [55] train-mlogloss:0.199758+0.004726    test-mlogloss:0.778720+0.022399 
## [56] train-mlogloss:0.196406+0.004749    test-mlogloss:0.781382+0.022494 
## [57] train-mlogloss:0.192742+0.004213    test-mlogloss:0.783776+0.020673 
## [58] train-mlogloss:0.189819+0.003858    test-mlogloss:0.788132+0.021550 
## [59] train-mlogloss:0.186575+0.004147    test-mlogloss:0.789363+0.022094 
## [60] train-mlogloss:0.183446+0.003487    test-mlogloss:0.792084+0.021419 
## [61] train-mlogloss:0.180004+0.003338    test-mlogloss:0.797290+0.020250 
## [62] train-mlogloss:0.176571+0.003187    test-mlogloss:0.800146+0.019419 
## [63] train-mlogloss:0.172963+0.003061    test-mlogloss:0.805057+0.019421 
## [64] train-mlogloss:0.170280+0.003351    test-mlogloss:0.808638+0.022323 
## [65] train-mlogloss:0.167720+0.003284    test-mlogloss:0.810408+0.018971 
## [66] train-mlogloss:0.165082+0.003033    test-mlogloss:0.813586+0.019154 
## [67] train-mlogloss:0.162923+0.003171    test-mlogloss:0.815144+0.020355 
## [68] train-mlogloss:0.159936+0.003065    test-mlogloss:0.818584+0.019048 
## [69] train-mlogloss:0.157350+0.003114    test-mlogloss:0.822594+0.019612 
## [70] train-mlogloss:0.154293+0.002780    test-mlogloss:0.825434+0.018384 
## [71] train-mlogloss:0.151744+0.002611    test-mlogloss:0.828007+0.018782 
## [72] train-mlogloss:0.148852+0.002285    test-mlogloss:0.827694+0.018852 
## [73] train-mlogloss:0.146390+0.002410    test-mlogloss:0.831852+0.021221 
## [74] train-mlogloss:0.144275+0.002784    test-mlogloss:0.832834+0.022543 
## [75] train-mlogloss:0.142023+0.003246    test-mlogloss:0.836164+0.022734 
## [76] train-mlogloss:0.139536+0.003147    test-mlogloss:0.839464+0.023917 
## [77] train-mlogloss:0.137674+0.003311    test-mlogloss:0.843505+0.023640 
## [78] train-mlogloss:0.135591+0.003415    test-mlogloss:0.844735+0.025280 
## [79] train-mlogloss:0.133623+0.003695    test-mlogloss:0.846578+0.024015 
## [80] train-mlogloss:0.131655+0.003266    test-mlogloss:0.848776+0.024538 
## [81] train-mlogloss:0.129680+0.003153    test-mlogloss:0.853504+0.022956 
## [82] train-mlogloss:0.127852+0.002950    test-mlogloss:0.854942+0.024421 
## [83] train-mlogloss:0.125777+0.002381    test-mlogloss:0.856424+0.025196 
## [84] train-mlogloss:0.123762+0.002113    test-mlogloss:0.859708+0.024781 
## [85] train-mlogloss:0.122036+0.002084    test-mlogloss:0.860133+0.025850 
## [86] train-mlogloss:0.120278+0.001798    test-mlogloss:0.862126+0.025247 
## [87] train-mlogloss:0.118389+0.001735    test-mlogloss:0.864896+0.023632 
## [88] train-mlogloss:0.116796+0.001593    test-mlogloss:0.866486+0.020879 
## [89] train-mlogloss:0.115090+0.001285    test-mlogloss:0.870548+0.021522 
## [90] train-mlogloss:0.113530+0.001478    test-mlogloss:0.872599+0.023957 
## [91] train-mlogloss:0.112288+0.001639    test-mlogloss:0.873193+0.022261 
## [92] train-mlogloss:0.110590+0.001589    test-mlogloss:0.875664+0.022257 
## [93] train-mlogloss:0.108793+0.001675    test-mlogloss:0.879063+0.024692 
## [94] train-mlogloss:0.107341+0.001843    test-mlogloss:0.880673+0.026027 
## [95] train-mlogloss:0.105591+0.002095    test-mlogloss:0.884898+0.027592 
## [96] train-mlogloss:0.103932+0.001980    test-mlogloss:0.885510+0.025513 
## [97] train-mlogloss:0.102218+0.001832    test-mlogloss:0.886047+0.025783 
## [98] train-mlogloss:0.100647+0.001719    test-mlogloss:0.889458+0.025297 
## [99] train-mlogloss:0.098992+0.001690    test-mlogloss:0.890991+0.027010 
## [100]    train-mlogloss:0.097645+0.001603    test-mlogloss:0.894529+0.026600 
## [101]    train-mlogloss:0.096314+0.001592    test-mlogloss:0.895081+0.026950 
## [102]    train-mlogloss:0.094929+0.001696    test-mlogloss:0.898208+0.026831 
## [103]    train-mlogloss:0.093551+0.001803    test-mlogloss:0.900275+0.025837 
## [104]    train-mlogloss:0.092391+0.001901    test-mlogloss:0.904976+0.024640 
## [105]    train-mlogloss:0.091061+0.001832    test-mlogloss:0.904532+0.025252 
## [106]    train-mlogloss:0.089458+0.001879    test-mlogloss:0.907272+0.024291 
## [107]    train-mlogloss:0.088227+0.001626    test-mlogloss:0.907991+0.024720 
## [108]    train-mlogloss:0.087089+0.001851    test-mlogloss:0.911264+0.024217 
## [109]    train-mlogloss:0.085815+0.001898    test-mlogloss:0.913427+0.023499 
## [110]    train-mlogloss:0.084641+0.001834    test-mlogloss:0.914369+0.024675 
## [111]    train-mlogloss:0.083382+0.001768    test-mlogloss:0.915489+0.026297 
## [112]    train-mlogloss:0.082231+0.001737    test-mlogloss:0.916463+0.027351 
## [113]    train-mlogloss:0.081041+0.001672    test-mlogloss:0.919560+0.028440 
## [114]    train-mlogloss:0.080116+0.001363    test-mlogloss:0.923344+0.028882 
## [115]    train-mlogloss:0.078902+0.001399    test-mlogloss:0.923215+0.029581 
## [116]    train-mlogloss:0.077678+0.001354    test-mlogloss:0.924726+0.030789 
## [117]    train-mlogloss:0.076491+0.001303    test-mlogloss:0.929290+0.028332 
## [118]    train-mlogloss:0.075423+0.001334    test-mlogloss:0.931096+0.028898 
## [119]    train-mlogloss:0.074451+0.001432    test-mlogloss:0.934449+0.030819 
## [120]    train-mlogloss:0.073399+0.001667    test-mlogloss:0.937847+0.032428 
## [121]    train-mlogloss:0.072365+0.001740    test-mlogloss:0.941062+0.032059 
## [122]    train-mlogloss:0.071444+0.001551    test-mlogloss:0.942296+0.031569 
## [123]    train-mlogloss:0.070509+0.001716    test-mlogloss:0.944146+0.032231 
## [124]    train-mlogloss:0.069601+0.001625    test-mlogloss:0.945292+0.033480 
## [125]    train-mlogloss:0.068566+0.001654    test-mlogloss:0.947382+0.033598 
## [126]    train-mlogloss:0.067690+0.001698    test-mlogloss:0.948332+0.033440 
## [127]    train-mlogloss:0.066819+0.001657    test-mlogloss:0.949232+0.034340 
## [128]    train-mlogloss:0.065823+0.001704    test-mlogloss:0.952563+0.033579 
## [129]    train-mlogloss:0.065015+0.001784    test-mlogloss:0.955582+0.033698 
## [130]    train-mlogloss:0.064333+0.001824    test-mlogloss:0.954415+0.034044 
## [131]    train-mlogloss:0.063499+0.001738    test-mlogloss:0.956484+0.033326 
## [132]    train-mlogloss:0.062701+0.001693    test-mlogloss:0.958242+0.032204 
## [133]    train-mlogloss:0.061921+0.001565    test-mlogloss:0.959004+0.030948 
## [134]    train-mlogloss:0.061109+0.001380    test-mlogloss:0.961983+0.030454 
## [135]    train-mlogloss:0.060118+0.001284    test-mlogloss:0.964242+0.029190 
## [136]    train-mlogloss:0.059418+0.001360    test-mlogloss:0.968602+0.030671 
## [137]    train-mlogloss:0.058565+0.001334    test-mlogloss:0.969455+0.029257 
## [138]    train-mlogloss:0.057703+0.001401    test-mlogloss:0.974132+0.030869 
## [139]    train-mlogloss:0.057025+0.001298    test-mlogloss:0.974804+0.031692 
## [140]    train-mlogloss:0.056449+0.001328    test-mlogloss:0.977026+0.033158 
## [141]    train-mlogloss:0.055772+0.001290    test-mlogloss:0.979109+0.032354 
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## [152]    train-mlogloss:0.049048+0.001303    test-mlogloss:0.999734+0.029220 
## [153]    train-mlogloss:0.048469+0.001304    test-mlogloss:1.000612+0.028890 
## [154]    train-mlogloss:0.047826+0.001292    test-mlogloss:1.002356+0.027283 
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## [160]    train-mlogloss:0.044619+0.001085    test-mlogloss:1.009604+0.029741 
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## [164]    train-mlogloss:0.042848+0.000999    test-mlogloss:1.015211+0.032644 
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## [399]    train-mlogloss:0.010179+0.000093    test-mlogloss:1.233237+0.030944 
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## [401]    train-mlogloss:0.010116+0.000093    test-mlogloss:1.233325+0.030857 
## [402]    train-mlogloss:0.010089+0.000094    test-mlogloss:1.233864+0.031333 
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## [405]    train-mlogloss:0.009991+0.000086    test-mlogloss:1.236970+0.030815 
## [406]    train-mlogloss:0.009940+0.000079    test-mlogloss:1.237064+0.031056 
## [407]    train-mlogloss:0.009906+0.000075    test-mlogloss:1.238201+0.031563 
## [408]    train-mlogloss:0.009869+0.000080    test-mlogloss:1.238676+0.031788 
## [409]    train-mlogloss:0.009845+0.000078    test-mlogloss:1.238940+0.031548 
## [410]    train-mlogloss:0.009818+0.000073    test-mlogloss:1.239563+0.031675 
## [411]    train-mlogloss:0.009797+0.000074    test-mlogloss:1.239177+0.032161 
## [412]    train-mlogloss:0.009765+0.000080    test-mlogloss:1.240192+0.032009 
## [413]    train-mlogloss:0.009732+0.000073    test-mlogloss:1.241905+0.032108 
## [414]    train-mlogloss:0.009698+0.000073    test-mlogloss:1.242147+0.031901 
## [415]    train-mlogloss:0.009666+0.000083    test-mlogloss:1.241722+0.031671 
## [416]    train-mlogloss:0.009632+0.000084    test-mlogloss:1.242416+0.031300 
## [417]    train-mlogloss:0.009599+0.000082    test-mlogloss:1.244024+0.031474 
## [418]    train-mlogloss:0.009572+0.000080    test-mlogloss:1.243582+0.030641 
## [419]    train-mlogloss:0.009539+0.000090    test-mlogloss:1.244271+0.030438 
## [420]    train-mlogloss:0.009509+0.000097    test-mlogloss:1.244830+0.030211 
## [421]    train-mlogloss:0.009474+0.000090    test-mlogloss:1.245862+0.030814 
## [422]    train-mlogloss:0.009449+0.000101    test-mlogloss:1.246693+0.031044 
## [423]    train-mlogloss:0.009414+0.000111    test-mlogloss:1.246134+0.031674 
## [424]    train-mlogloss:0.009386+0.000110    test-mlogloss:1.247338+0.031862 
## [425]    train-mlogloss:0.009358+0.000100    test-mlogloss:1.249229+0.031552 
## [426]    train-mlogloss:0.009325+0.000097    test-mlogloss:1.248993+0.031110 
## [427]    train-mlogloss:0.009302+0.000105    test-mlogloss:1.249900+0.030953 
## [428]    train-mlogloss:0.009274+0.000100    test-mlogloss:1.250512+0.030603 
## [429]    train-mlogloss:0.009246+0.000094    test-mlogloss:1.250560+0.030260 
## [430]    train-mlogloss:0.009217+0.000086    test-mlogloss:1.251474+0.029452 
## [431]    train-mlogloss:0.009196+0.000088    test-mlogloss:1.251308+0.030074 
## [432]    train-mlogloss:0.009158+0.000092    test-mlogloss:1.250836+0.030681 
## [433]    train-mlogloss:0.009126+0.000098    test-mlogloss:1.251357+0.030538 
## [434]    train-mlogloss:0.009100+0.000099    test-mlogloss:1.251622+0.031582 
## [435]    train-mlogloss:0.009076+0.000097    test-mlogloss:1.252833+0.032395 
## [436]    train-mlogloss:0.009048+0.000101    test-mlogloss:1.251529+0.032372 
## [437]    train-mlogloss:0.009029+0.000100    test-mlogloss:1.251947+0.032086 
## [438]    train-mlogloss:0.008997+0.000102    test-mlogloss:1.253090+0.031195 
## [439]    train-mlogloss:0.008970+0.000097    test-mlogloss:1.254636+0.032059 
## [440]    train-mlogloss:0.008938+0.000092    test-mlogloss:1.254872+0.032183 
## [441]    train-mlogloss:0.008907+0.000089    test-mlogloss:1.255315+0.031996 
## [442]    train-mlogloss:0.008874+0.000083    test-mlogloss:1.255932+0.032865 
## [443]    train-mlogloss:0.008852+0.000081    test-mlogloss:1.254120+0.031705 
## [444]    train-mlogloss:0.008834+0.000087    test-mlogloss:1.254686+0.031727 
## [445]    train-mlogloss:0.008802+0.000082    test-mlogloss:1.255819+0.032350 
## [446]    train-mlogloss:0.008775+0.000082    test-mlogloss:1.256012+0.033411 
## [447]    train-mlogloss:0.008750+0.000082    test-mlogloss:1.257289+0.033080 
## [448]    train-mlogloss:0.008727+0.000078    test-mlogloss:1.257853+0.032554 
## [449]    train-mlogloss:0.008705+0.000082    test-mlogloss:1.258483+0.032676 
## [450]    train-mlogloss:0.008680+0.000079    test-mlogloss:1.258880+0.032262 
## [451]    train-mlogloss:0.008653+0.000081    test-mlogloss:1.259204+0.033116 
## [452]    train-mlogloss:0.008634+0.000082    test-mlogloss:1.259898+0.033483 
## [453]    train-mlogloss:0.008610+0.000086    test-mlogloss:1.260081+0.032971 
## [454]    train-mlogloss:0.008586+0.000082    test-mlogloss:1.260648+0.032293 
## [455]    train-mlogloss:0.008571+0.000080    test-mlogloss:1.260818+0.032679 
## [456]    train-mlogloss:0.008548+0.000075    test-mlogloss:1.262880+0.032305 
## [457]    train-mlogloss:0.008523+0.000076    test-mlogloss:1.262063+0.032173 
## [458]    train-mlogloss:0.008498+0.000074    test-mlogloss:1.262611+0.031468 
## [459]    train-mlogloss:0.008473+0.000077    test-mlogloss:1.262633+0.031504 
## [460]    train-mlogloss:0.008458+0.000077    test-mlogloss:1.263406+0.031487 
## [461]    train-mlogloss:0.008431+0.000073    test-mlogloss:1.264428+0.031595 
## [462]    train-mlogloss:0.008408+0.000075    test-mlogloss:1.265176+0.031867 
## [463]    train-mlogloss:0.008390+0.000075    test-mlogloss:1.265752+0.032375 
## [464]    train-mlogloss:0.008369+0.000069    test-mlogloss:1.266399+0.033460 
## [465]    train-mlogloss:0.008354+0.000075    test-mlogloss:1.265765+0.034282 
## [466]    train-mlogloss:0.008332+0.000075    test-mlogloss:1.267116+0.034231 
## [467]    train-mlogloss:0.008318+0.000075    test-mlogloss:1.267245+0.034168 
## [468]    train-mlogloss:0.008288+0.000070    test-mlogloss:1.267943+0.033678 
## [469]    train-mlogloss:0.008259+0.000070    test-mlogloss:1.268046+0.033783 
## [470]    train-mlogloss:0.008240+0.000069    test-mlogloss:1.268159+0.033208 
## [471]    train-mlogloss:0.008214+0.000070    test-mlogloss:1.267730+0.032282 
## [472]    train-mlogloss:0.008185+0.000080    test-mlogloss:1.268872+0.032464 
## [473]    train-mlogloss:0.008168+0.000079    test-mlogloss:1.268952+0.031898 
## [474]    train-mlogloss:0.008150+0.000073    test-mlogloss:1.270626+0.031694 
## [475]    train-mlogloss:0.008125+0.000073    test-mlogloss:1.270393+0.031089 
## [476]    train-mlogloss:0.008103+0.000070    test-mlogloss:1.270472+0.031141 
## [477]    train-mlogloss:0.008087+0.000072    test-mlogloss:1.271966+0.031448 
## [478]    train-mlogloss:0.008053+0.000075    test-mlogloss:1.273028+0.031911 
## [479]    train-mlogloss:0.008035+0.000074    test-mlogloss:1.272180+0.032093 
## [480]    train-mlogloss:0.008013+0.000070    test-mlogloss:1.273844+0.031200 
## [481]    train-mlogloss:0.007997+0.000068    test-mlogloss:1.273508+0.031232 
## [482]    train-mlogloss:0.007977+0.000072    test-mlogloss:1.274761+0.031837 
## [483]    train-mlogloss:0.007957+0.000068    test-mlogloss:1.275324+0.032294 
## [484]    train-mlogloss:0.007939+0.000068    test-mlogloss:1.275961+0.031757 
## [485]    train-mlogloss:0.007918+0.000069    test-mlogloss:1.275497+0.031122 
## [486]    train-mlogloss:0.007904+0.000070    test-mlogloss:1.275953+0.030148 
## [487]    train-mlogloss:0.007889+0.000074    test-mlogloss:1.276221+0.031927 
## [488]    train-mlogloss:0.007867+0.000069    test-mlogloss:1.276059+0.032395 
## [489]    train-mlogloss:0.007844+0.000071    test-mlogloss:1.276173+0.032268 
## [490]    train-mlogloss:0.007825+0.000074    test-mlogloss:1.276484+0.031506 
## [491]    train-mlogloss:0.007804+0.000070    test-mlogloss:1.275702+0.032547 
## [492]    train-mlogloss:0.007784+0.000067    test-mlogloss:1.277393+0.033169 
## [493]    train-mlogloss:0.007769+0.000061    test-mlogloss:1.277927+0.033582 
## [494]    train-mlogloss:0.007753+0.000053    test-mlogloss:1.279072+0.032798 
## [495]    train-mlogloss:0.007737+0.000056    test-mlogloss:1.280311+0.032993 
## [496]    train-mlogloss:0.007715+0.000053    test-mlogloss:1.281276+0.034058 
## [497]    train-mlogloss:0.007699+0.000051    test-mlogloss:1.282158+0.033600 
## [498]    train-mlogloss:0.007683+0.000051    test-mlogloss:1.282357+0.034161 
## [499]    train-mlogloss:0.007668+0.000051    test-mlogloss:1.281837+0.034248 
## [500]    train-mlogloss:0.007648+0.000052    test-mlogloss:1.282065+0.033538 
## [1]  train-mlogloss:0.439097+0.003215    test-mlogloss:0.596171+0.004038 
## [2]  train-mlogloss:0.347880+0.004966    test-mlogloss:0.628029+0.008086 
## [3]  train-mlogloss:0.289622+0.003692    test-mlogloss:0.653079+0.009287 
## [4]  train-mlogloss:0.244213+0.005250    test-mlogloss:0.678485+0.012131 
## [5]  train-mlogloss:0.208437+0.005229    test-mlogloss:0.706969+0.015284 
## [6]  train-mlogloss:0.180168+0.004327    test-mlogloss:0.730666+0.017126 
## [7]  train-mlogloss:0.158470+0.002570    test-mlogloss:0.752227+0.020544 
## [8]  train-mlogloss:0.139958+0.002747    test-mlogloss:0.770788+0.017907 
## [9]  train-mlogloss:0.124306+0.002594    test-mlogloss:0.792084+0.018116 
## [10] train-mlogloss:0.111306+0.002567    test-mlogloss:0.808531+0.020877 
## [11] train-mlogloss:0.100630+0.002912    test-mlogloss:0.818719+0.021796 
## [12] train-mlogloss:0.091682+0.002871    test-mlogloss:0.831142+0.022643 
## [13] train-mlogloss:0.083751+0.002352    test-mlogloss:0.838749+0.022737 
## [14] train-mlogloss:0.077330+0.001846    test-mlogloss:0.845172+0.022683 
## [15] train-mlogloss:0.071442+0.001277    test-mlogloss:0.856334+0.021024 
## [16] train-mlogloss:0.066277+0.001067    test-mlogloss:0.865456+0.022260 
## [17] train-mlogloss:0.061705+0.001140    test-mlogloss:0.873108+0.025814 
## [18] train-mlogloss:0.058164+0.000943    test-mlogloss:0.883461+0.027445 
## [19] train-mlogloss:0.054745+0.000663    test-mlogloss:0.888707+0.029126 
## [20] train-mlogloss:0.051638+0.000593    test-mlogloss:0.894666+0.030905 
## [21] train-mlogloss:0.048923+0.000329    test-mlogloss:0.898074+0.034409 
## [22] train-mlogloss:0.046512+0.000346    test-mlogloss:0.906551+0.037261 
## [23] train-mlogloss:0.044268+0.000238    test-mlogloss:0.912439+0.037595 
## [24] train-mlogloss:0.042284+0.000232    test-mlogloss:0.918000+0.036352 
## [25] train-mlogloss:0.040399+0.000336    test-mlogloss:0.922646+0.032729 
## [26] train-mlogloss:0.038700+0.000362    test-mlogloss:0.927202+0.032725 
## [27] train-mlogloss:0.037192+0.000335    test-mlogloss:0.932759+0.033583 
## [28] train-mlogloss:0.035806+0.000218    test-mlogloss:0.935592+0.034041 
## [29] train-mlogloss:0.034489+0.000216    test-mlogloss:0.940623+0.036191 
## [30] train-mlogloss:0.033453+0.000229    test-mlogloss:0.947150+0.035618 
## [31] train-mlogloss:0.032344+0.000286    test-mlogloss:0.953980+0.035871 
## [32] train-mlogloss:0.031258+0.000260    test-mlogloss:0.956689+0.038368 
## [33] train-mlogloss:0.030329+0.000275    test-mlogloss:0.960407+0.039857 
## [34] train-mlogloss:0.029475+0.000309    test-mlogloss:0.962516+0.043239 
## [35] train-mlogloss:0.028703+0.000311    test-mlogloss:0.968539+0.044806 
## [36] train-mlogloss:0.027881+0.000245    test-mlogloss:0.973451+0.046234 
## [37] train-mlogloss:0.027185+0.000292    test-mlogloss:0.977955+0.047362 
## [38] train-mlogloss:0.026464+0.000281    test-mlogloss:0.980697+0.046451 
## [39] train-mlogloss:0.025858+0.000254    test-mlogloss:0.986235+0.046129 
## [40] train-mlogloss:0.025265+0.000240    test-mlogloss:0.991082+0.045052 
## [41] train-mlogloss:0.024695+0.000280    test-mlogloss:0.991530+0.043706 
## [42] train-mlogloss:0.024136+0.000250    test-mlogloss:0.993809+0.045857 
## [43] train-mlogloss:0.023628+0.000249    test-mlogloss:0.995092+0.044988 
## [44] train-mlogloss:0.023155+0.000181    test-mlogloss:0.998292+0.043946 
## [45] train-mlogloss:0.022732+0.000168    test-mlogloss:0.999264+0.046705 
## [46] train-mlogloss:0.022246+0.000143    test-mlogloss:1.004242+0.048244 
## [47] train-mlogloss:0.021793+0.000127    test-mlogloss:1.006216+0.048407 
## [48] train-mlogloss:0.021368+0.000092    test-mlogloss:1.009542+0.049463 
## [49] train-mlogloss:0.020984+0.000107    test-mlogloss:1.012923+0.048173 
## [50] train-mlogloss:0.020644+0.000085    test-mlogloss:1.013362+0.048233 
## [51] train-mlogloss:0.020272+0.000069    test-mlogloss:1.017880+0.047772 
## [52] train-mlogloss:0.019918+0.000095    test-mlogloss:1.020197+0.047517 
## [53] train-mlogloss:0.019610+0.000076    test-mlogloss:1.022594+0.048181 
## [54] train-mlogloss:0.019288+0.000062    test-mlogloss:1.025616+0.046674 
## [55] train-mlogloss:0.019001+0.000050    test-mlogloss:1.026579+0.048078 
## [56] train-mlogloss:0.018724+0.000050    test-mlogloss:1.026644+0.046707 
## [57] train-mlogloss:0.018447+0.000042    test-mlogloss:1.029355+0.048959 
## [58] train-mlogloss:0.018135+0.000066    test-mlogloss:1.029614+0.049348 
## [59] train-mlogloss:0.017897+0.000051    test-mlogloss:1.031182+0.049823 
## [60] train-mlogloss:0.017647+0.000074    test-mlogloss:1.033745+0.050133 
## [61] train-mlogloss:0.017379+0.000082    test-mlogloss:1.035710+0.050476 
## [62] train-mlogloss:0.017155+0.000063    test-mlogloss:1.037700+0.050337 
## [63] train-mlogloss:0.016912+0.000045    test-mlogloss:1.038270+0.050765 
## [64] train-mlogloss:0.016683+0.000058    test-mlogloss:1.038796+0.052826 
## [65] train-mlogloss:0.016485+0.000056    test-mlogloss:1.039413+0.053176 
## [66] train-mlogloss:0.016256+0.000041    test-mlogloss:1.040404+0.052878 
## [67] train-mlogloss:0.016047+0.000049    test-mlogloss:1.041629+0.054881 
## [68] train-mlogloss:0.015868+0.000039    test-mlogloss:1.042859+0.055223 
## [69] train-mlogloss:0.015658+0.000041    test-mlogloss:1.043728+0.053942 
## [70] train-mlogloss:0.015468+0.000043    test-mlogloss:1.045663+0.053557 
## [71] train-mlogloss:0.015299+0.000037    test-mlogloss:1.047356+0.052384 
## [72] train-mlogloss:0.015120+0.000046    test-mlogloss:1.049630+0.052872 
## [73] train-mlogloss:0.014934+0.000064    test-mlogloss:1.050137+0.053402 
## [74] train-mlogloss:0.014773+0.000070    test-mlogloss:1.051565+0.052974 
## [75] train-mlogloss:0.014623+0.000060    test-mlogloss:1.051778+0.051888 
## [76] train-mlogloss:0.014467+0.000060    test-mlogloss:1.053081+0.050387 
## [77] train-mlogloss:0.014327+0.000055    test-mlogloss:1.056199+0.051629 
## [78] train-mlogloss:0.014181+0.000062    test-mlogloss:1.056601+0.051777 
## [79] train-mlogloss:0.014035+0.000049    test-mlogloss:1.057845+0.051103 
## [80] train-mlogloss:0.013905+0.000043    test-mlogloss:1.058040+0.050216 
## [81] train-mlogloss:0.013771+0.000051    test-mlogloss:1.061395+0.049153 
## [82] train-mlogloss:0.013639+0.000053    test-mlogloss:1.063416+0.049476 
## [83] train-mlogloss:0.013500+0.000046    test-mlogloss:1.065727+0.049815 
## [84] train-mlogloss:0.013369+0.000051    test-mlogloss:1.067290+0.051135 
## [85] train-mlogloss:0.013242+0.000035    test-mlogloss:1.069178+0.049502 
## [86] train-mlogloss:0.013115+0.000031    test-mlogloss:1.070764+0.050327 
## [87] train-mlogloss:0.013017+0.000028    test-mlogloss:1.071520+0.050034 
## [88] train-mlogloss:0.012905+0.000024    test-mlogloss:1.074673+0.050074 
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## [93] train-mlogloss:0.012377+0.000034    test-mlogloss:1.077625+0.050711 
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## [490]    train-mlogloss:0.004306+0.000022    test-mlogloss:1.246854+0.048503 
## [491]    train-mlogloss:0.004303+0.000020    test-mlogloss:1.246608+0.049114 
## [492]    train-mlogloss:0.004296+0.000024    test-mlogloss:1.246833+0.048265 
## [493]    train-mlogloss:0.004289+0.000022    test-mlogloss:1.246568+0.048626 
## [494]    train-mlogloss:0.004286+0.000022    test-mlogloss:1.247034+0.049015 
## [495]    train-mlogloss:0.004283+0.000024    test-mlogloss:1.247767+0.049069 
## [496]    train-mlogloss:0.004276+0.000024    test-mlogloss:1.247702+0.048367 
## [497]    train-mlogloss:0.004272+0.000022    test-mlogloss:1.247744+0.048021 
## [498]    train-mlogloss:0.004267+0.000023    test-mlogloss:1.248599+0.048348 
## [499]    train-mlogloss:0.004261+0.000022    test-mlogloss:1.248995+0.047681 
## [500]    train-mlogloss:0.004258+0.000021    test-mlogloss:1.248471+0.047978 
## [1]  train-mlogloss:0.614215+0.000656    test-mlogloss:0.621485+0.001901 
## [2]  train-mlogloss:0.569883+0.000730    test-mlogloss:0.583675+0.002852 
## [3]  train-mlogloss:0.542416+0.001059    test-mlogloss:0.562454+0.002868 
## [4]  train-mlogloss:0.524421+0.001115    test-mlogloss:0.550552+0.003255 
## [5]  train-mlogloss:0.511973+0.001050    test-mlogloss:0.543730+0.003638 
## [6]  train-mlogloss:0.503027+0.001213    test-mlogloss:0.539328+0.003886 
## [7]  train-mlogloss:0.495900+0.001089    test-mlogloss:0.537376+0.004582 
## [8]  train-mlogloss:0.490304+0.001426    test-mlogloss:0.535789+0.004275 
## [9]  train-mlogloss:0.485080+0.001577    test-mlogloss:0.535554+0.004675 
## [10] train-mlogloss:0.481183+0.001906    test-mlogloss:0.535402+0.005106 
## [11] train-mlogloss:0.478122+0.002011    test-mlogloss:0.536077+0.004945 
## [12] train-mlogloss:0.474367+0.001449    test-mlogloss:0.535914+0.004675 
## [13] train-mlogloss:0.471583+0.001855    test-mlogloss:0.535856+0.005037 
## [14] train-mlogloss:0.468892+0.002267    test-mlogloss:0.536459+0.004922 
## [15] train-mlogloss:0.466082+0.001758    test-mlogloss:0.536779+0.005013 
## [16] train-mlogloss:0.463373+0.002124    test-mlogloss:0.536669+0.004901 
## [17] train-mlogloss:0.459970+0.001945    test-mlogloss:0.537027+0.004631 
## [18] train-mlogloss:0.456300+0.001493    test-mlogloss:0.537749+0.005289 
## [19] train-mlogloss:0.453695+0.002058    test-mlogloss:0.538164+0.005388 
## [20] train-mlogloss:0.450308+0.001997    test-mlogloss:0.538601+0.005762 
## [21] train-mlogloss:0.447282+0.002015    test-mlogloss:0.539548+0.005763 
## [22] train-mlogloss:0.444964+0.002164    test-mlogloss:0.539521+0.005933 
## [23] train-mlogloss:0.441988+0.002016    test-mlogloss:0.540168+0.006307 
## [24] train-mlogloss:0.439546+0.002012    test-mlogloss:0.540528+0.006083 
## [25] train-mlogloss:0.437485+0.002184    test-mlogloss:0.540913+0.005867 
## [26] train-mlogloss:0.434190+0.002219    test-mlogloss:0.541454+0.006366 
## [27] train-mlogloss:0.431750+0.002899    test-mlogloss:0.541697+0.006559 
## [28] train-mlogloss:0.430085+0.003003    test-mlogloss:0.541901+0.005836 
## [29] train-mlogloss:0.427648+0.003075    test-mlogloss:0.542716+0.005727 
## [30] train-mlogloss:0.425229+0.003638    test-mlogloss:0.543290+0.006396 
## [31] train-mlogloss:0.422826+0.003304    test-mlogloss:0.543699+0.006687 
## [32] train-mlogloss:0.420405+0.003692    test-mlogloss:0.544238+0.006693 
## [33] train-mlogloss:0.417995+0.003311    test-mlogloss:0.544730+0.006762 
## [34] train-mlogloss:0.415427+0.003282    test-mlogloss:0.545012+0.006574 
## [35] train-mlogloss:0.413391+0.002869    test-mlogloss:0.545571+0.005743 
## [36] train-mlogloss:0.411040+0.003312    test-mlogloss:0.546392+0.006415 
## [37] train-mlogloss:0.408140+0.003503    test-mlogloss:0.546656+0.006479 
## [38] train-mlogloss:0.406352+0.003283    test-mlogloss:0.546969+0.005814 
## [39] train-mlogloss:0.404163+0.003652    test-mlogloss:0.547415+0.005995 
## [40] train-mlogloss:0.401589+0.003641    test-mlogloss:0.547985+0.006582 
## [41] train-mlogloss:0.399380+0.003591    test-mlogloss:0.548760+0.006636 
## [42] train-mlogloss:0.396688+0.003652    test-mlogloss:0.549211+0.006390 
## [43] train-mlogloss:0.394019+0.003911    test-mlogloss:0.549501+0.006552 
## [44] train-mlogloss:0.391380+0.004323    test-mlogloss:0.550185+0.006270 
## [45] train-mlogloss:0.389107+0.004238    test-mlogloss:0.551088+0.006222 
## [46] train-mlogloss:0.387295+0.004442    test-mlogloss:0.551359+0.005854 
## [47] train-mlogloss:0.384641+0.004354    test-mlogloss:0.551870+0.005235 
## [48] train-mlogloss:0.381975+0.004335    test-mlogloss:0.552721+0.005266 
## [49] train-mlogloss:0.379996+0.004523    test-mlogloss:0.553283+0.005541 
## [50] train-mlogloss:0.378281+0.004643    test-mlogloss:0.553659+0.005481 
## [51] train-mlogloss:0.375885+0.004659    test-mlogloss:0.554441+0.005331 
## [52] train-mlogloss:0.373921+0.004815    test-mlogloss:0.554837+0.005290 
## [53] train-mlogloss:0.371939+0.004704    test-mlogloss:0.554874+0.005672 
## [54] train-mlogloss:0.369777+0.004876    test-mlogloss:0.555721+0.005766 
## [55] train-mlogloss:0.367780+0.005007    test-mlogloss:0.556741+0.005709 
## [56] train-mlogloss:0.365671+0.005005    test-mlogloss:0.556996+0.006312 
## [57] train-mlogloss:0.363769+0.005284    test-mlogloss:0.557237+0.006236 
## [58] train-mlogloss:0.361854+0.004855    test-mlogloss:0.557918+0.006208 
## [59] train-mlogloss:0.359879+0.004829    test-mlogloss:0.557975+0.006206 
## [60] train-mlogloss:0.357856+0.004881    test-mlogloss:0.558270+0.006432 
## [61] train-mlogloss:0.355746+0.005199    test-mlogloss:0.558802+0.006874 
## [62] train-mlogloss:0.353816+0.004938    test-mlogloss:0.559593+0.007008 
## [63] train-mlogloss:0.351365+0.004801    test-mlogloss:0.559731+0.007329 
## [64] train-mlogloss:0.349271+0.004756    test-mlogloss:0.559884+0.006841 
## [65] train-mlogloss:0.347430+0.004825    test-mlogloss:0.560436+0.006559 
## [66] train-mlogloss:0.344942+0.004628    test-mlogloss:0.561229+0.006719 
## [67] train-mlogloss:0.343352+0.004521    test-mlogloss:0.561652+0.006688 
## [68] train-mlogloss:0.341392+0.004163    test-mlogloss:0.562094+0.006923 
## [69] train-mlogloss:0.339542+0.004317    test-mlogloss:0.562738+0.007036 
## [70] train-mlogloss:0.337829+0.004379    test-mlogloss:0.562778+0.007332 
## [71] train-mlogloss:0.336196+0.004682    test-mlogloss:0.563247+0.007571 
## [72] train-mlogloss:0.334462+0.004680    test-mlogloss:0.563852+0.007371 
## [73] train-mlogloss:0.332512+0.004598    test-mlogloss:0.564217+0.007513 
## [74] train-mlogloss:0.330554+0.004447    test-mlogloss:0.564601+0.007299 
## [75] train-mlogloss:0.328531+0.004444    test-mlogloss:0.564961+0.006951 
## [76] train-mlogloss:0.326359+0.004687    test-mlogloss:0.565328+0.007097 
## [77] train-mlogloss:0.324474+0.004641    test-mlogloss:0.566057+0.007089 
## [78] train-mlogloss:0.322327+0.004680    test-mlogloss:0.566361+0.007123 
## [79] train-mlogloss:0.320420+0.005223    test-mlogloss:0.567201+0.007441 
## [80] train-mlogloss:0.318199+0.005173    test-mlogloss:0.567904+0.007403 
## [81] train-mlogloss:0.316482+0.005390    test-mlogloss:0.568505+0.007713 
## [82] train-mlogloss:0.315031+0.005249    test-mlogloss:0.568995+0.008186 
## [83] train-mlogloss:0.313221+0.005453    test-mlogloss:0.569576+0.007749 
## [84] train-mlogloss:0.311872+0.005250    test-mlogloss:0.569922+0.008241 
## [85] train-mlogloss:0.310307+0.004971    test-mlogloss:0.570737+0.008038 
## [86] train-mlogloss:0.308641+0.004933    test-mlogloss:0.571239+0.008141 
## [87] train-mlogloss:0.307110+0.005105    test-mlogloss:0.571768+0.008367 
## [88] train-mlogloss:0.305613+0.005264    test-mlogloss:0.572113+0.008420 
## [89] train-mlogloss:0.304261+0.005300    test-mlogloss:0.572401+0.008424 
## [90] train-mlogloss:0.302658+0.005234    test-mlogloss:0.573042+0.008073 
## [91] train-mlogloss:0.300674+0.005305    test-mlogloss:0.573437+0.008133 
## [92] train-mlogloss:0.299156+0.005189    test-mlogloss:0.573917+0.007904 
## [93] train-mlogloss:0.297486+0.005368    test-mlogloss:0.574092+0.007712 
## [94] train-mlogloss:0.295856+0.005480    test-mlogloss:0.574794+0.007540 
## [95] train-mlogloss:0.294613+0.005383    test-mlogloss:0.575266+0.007667 
## [96] train-mlogloss:0.292965+0.005351    test-mlogloss:0.575014+0.007634 
## [97] train-mlogloss:0.291383+0.005054    test-mlogloss:0.575494+0.007498 
## [98] train-mlogloss:0.289769+0.004901    test-mlogloss:0.575855+0.007317 
## [99] train-mlogloss:0.288045+0.005113    test-mlogloss:0.576043+0.007482 
## [100]    train-mlogloss:0.286419+0.004726    test-mlogloss:0.576982+0.006997 
## [101]    train-mlogloss:0.284749+0.004690    test-mlogloss:0.577823+0.007136 
## [102]    train-mlogloss:0.282877+0.004856    test-mlogloss:0.578301+0.007113 
## [103]    train-mlogloss:0.281614+0.004907    test-mlogloss:0.578825+0.007100 
## [104]    train-mlogloss:0.279892+0.004781    test-mlogloss:0.580070+0.006997 
## [105]    train-mlogloss:0.278295+0.005001    test-mlogloss:0.580528+0.006566 
## [106]    train-mlogloss:0.276740+0.005041    test-mlogloss:0.581196+0.006649 
## [107]    train-mlogloss:0.275318+0.005022    test-mlogloss:0.581342+0.006826 
## [108]    train-mlogloss:0.274050+0.005270    test-mlogloss:0.581701+0.006996 
## [109]    train-mlogloss:0.272583+0.005460    test-mlogloss:0.581701+0.007117 
## [110]    train-mlogloss:0.271212+0.005561    test-mlogloss:0.582628+0.007263 
## [111]    train-mlogloss:0.269745+0.005915    test-mlogloss:0.583078+0.007426 
## [112]    train-mlogloss:0.268307+0.005875    test-mlogloss:0.583545+0.007118 
## [113]    train-mlogloss:0.266874+0.005818    test-mlogloss:0.583894+0.007126 
## [114]    train-mlogloss:0.265494+0.005560    test-mlogloss:0.584179+0.007545 
## [115]    train-mlogloss:0.263986+0.005555    test-mlogloss:0.584769+0.007845 
## [116]    train-mlogloss:0.262851+0.005516    test-mlogloss:0.585458+0.007269 
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## [118]    train-mlogloss:0.259812+0.005448    test-mlogloss:0.585929+0.007757 
## [119]    train-mlogloss:0.258396+0.005347    test-mlogloss:0.586609+0.007777 
## [120]    train-mlogloss:0.257162+0.005453    test-mlogloss:0.586950+0.007511 
## [121]    train-mlogloss:0.255864+0.005541    test-mlogloss:0.587602+0.007631 
## [122]    train-mlogloss:0.254502+0.005896    test-mlogloss:0.587796+0.007010 
## [123]    train-mlogloss:0.253274+0.005885    test-mlogloss:0.587936+0.007170 
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## [399]    train-mlogloss:0.069371+0.001721    test-mlogloss:0.742603+0.016200 
## [400]    train-mlogloss:0.069048+0.001623    test-mlogloss:0.743226+0.016260 
## [401]    train-mlogloss:0.068808+0.001593    test-mlogloss:0.743625+0.016265 
## [402]    train-mlogloss:0.068533+0.001522    test-mlogloss:0.743900+0.016189 
## [403]    train-mlogloss:0.068260+0.001515    test-mlogloss:0.744486+0.016254 
## [404]    train-mlogloss:0.067984+0.001502    test-mlogloss:0.745134+0.016363 
## [405]    train-mlogloss:0.067759+0.001479    test-mlogloss:0.745643+0.016341 
## [406]    train-mlogloss:0.067532+0.001477    test-mlogloss:0.746067+0.016199 
## [407]    train-mlogloss:0.067289+0.001506    test-mlogloss:0.746735+0.016157 
## [408]    train-mlogloss:0.067024+0.001564    test-mlogloss:0.747131+0.016633 
## [409]    train-mlogloss:0.066792+0.001573    test-mlogloss:0.747643+0.016881 
## [410]    train-mlogloss:0.066568+0.001586    test-mlogloss:0.748126+0.016955 
## [411]    train-mlogloss:0.066331+0.001538    test-mlogloss:0.748545+0.016971 
## [412]    train-mlogloss:0.066047+0.001488    test-mlogloss:0.749011+0.016952 
## [413]    train-mlogloss:0.065826+0.001498    test-mlogloss:0.749338+0.017294 
## [414]    train-mlogloss:0.065586+0.001490    test-mlogloss:0.749890+0.017176 
## [415]    train-mlogloss:0.065328+0.001483    test-mlogloss:0.750390+0.017491 
## [416]    train-mlogloss:0.065094+0.001443    test-mlogloss:0.750795+0.017547 
## [417]    train-mlogloss:0.064888+0.001452    test-mlogloss:0.751409+0.017369 
## [418]    train-mlogloss:0.064598+0.001416    test-mlogloss:0.752033+0.017732 
## [419]    train-mlogloss:0.064339+0.001435    test-mlogloss:0.752772+0.017703 
## [420]    train-mlogloss:0.064058+0.001413    test-mlogloss:0.752975+0.017565 
## [421]    train-mlogloss:0.063873+0.001416    test-mlogloss:0.753411+0.017467 
## [422]    train-mlogloss:0.063603+0.001376    test-mlogloss:0.753915+0.017674 
## [423]    train-mlogloss:0.063322+0.001381    test-mlogloss:0.754681+0.017886 
## [424]    train-mlogloss:0.063072+0.001367    test-mlogloss:0.755049+0.018036 
## [425]    train-mlogloss:0.062897+0.001337    test-mlogloss:0.755427+0.018091 
## [426]    train-mlogloss:0.062699+0.001374    test-mlogloss:0.755879+0.018294 
## [427]    train-mlogloss:0.062461+0.001381    test-mlogloss:0.756526+0.018149 
## [428]    train-mlogloss:0.062264+0.001330    test-mlogloss:0.756963+0.018158 
## [429]    train-mlogloss:0.062028+0.001305    test-mlogloss:0.757452+0.018083 
## [430]    train-mlogloss:0.061811+0.001323    test-mlogloss:0.757869+0.017888 
## [431]    train-mlogloss:0.061569+0.001297    test-mlogloss:0.758453+0.017874 
## [432]    train-mlogloss:0.061305+0.001286    test-mlogloss:0.758754+0.017813 
## [433]    train-mlogloss:0.061066+0.001305    test-mlogloss:0.759345+0.017808 
## [434]    train-mlogloss:0.060802+0.001312    test-mlogloss:0.759694+0.017743 
## [435]    train-mlogloss:0.060568+0.001287    test-mlogloss:0.759909+0.017823 
## [436]    train-mlogloss:0.060332+0.001253    test-mlogloss:0.760277+0.017485 
## [437]    train-mlogloss:0.060138+0.001228    test-mlogloss:0.760728+0.017505 
## [438]    train-mlogloss:0.059915+0.001234    test-mlogloss:0.761433+0.017541 
## [439]    train-mlogloss:0.059699+0.001217    test-mlogloss:0.762034+0.017215 
## [440]    train-mlogloss:0.059516+0.001186    test-mlogloss:0.762616+0.017074 
## [441]    train-mlogloss:0.059348+0.001209    test-mlogloss:0.763072+0.016909 
## [442]    train-mlogloss:0.059138+0.001281    test-mlogloss:0.763610+0.017085 
## [443]    train-mlogloss:0.058934+0.001299    test-mlogloss:0.764117+0.017054 
## [444]    train-mlogloss:0.058706+0.001328    test-mlogloss:0.764703+0.016767 
## [445]    train-mlogloss:0.058507+0.001363    test-mlogloss:0.765143+0.016815 
## [446]    train-mlogloss:0.058297+0.001379    test-mlogloss:0.765632+0.016775 
## [447]    train-mlogloss:0.058009+0.001341    test-mlogloss:0.765967+0.016686 
## [448]    train-mlogloss:0.057819+0.001393    test-mlogloss:0.766456+0.016626 
## [449]    train-mlogloss:0.057600+0.001419    test-mlogloss:0.766613+0.016478 
## [450]    train-mlogloss:0.057361+0.001449    test-mlogloss:0.767208+0.016614 
## [451]    train-mlogloss:0.057176+0.001462    test-mlogloss:0.767977+0.016742 
## [452]    train-mlogloss:0.056949+0.001446    test-mlogloss:0.768697+0.016487 
## [453]    train-mlogloss:0.056768+0.001428    test-mlogloss:0.769258+0.016658 
## [454]    train-mlogloss:0.056555+0.001377    test-mlogloss:0.770053+0.016273 
## [455]    train-mlogloss:0.056320+0.001329    test-mlogloss:0.770410+0.016209 
## [456]    train-mlogloss:0.056103+0.001282    test-mlogloss:0.770953+0.016380 
## [457]    train-mlogloss:0.055919+0.001263    test-mlogloss:0.771666+0.016085 
## [458]    train-mlogloss:0.055681+0.001215    test-mlogloss:0.771851+0.016054 
## [459]    train-mlogloss:0.055503+0.001226    test-mlogloss:0.772608+0.016167 
## [460]    train-mlogloss:0.055349+0.001191    test-mlogloss:0.772999+0.016142 
## [461]    train-mlogloss:0.055192+0.001174    test-mlogloss:0.773096+0.016229 
## [462]    train-mlogloss:0.054944+0.001180    test-mlogloss:0.773804+0.016145 
## [463]    train-mlogloss:0.054750+0.001164    test-mlogloss:0.774308+0.016221 
## [464]    train-mlogloss:0.054562+0.001151    test-mlogloss:0.774715+0.016378 
## [465]    train-mlogloss:0.054401+0.001130    test-mlogloss:0.775393+0.016361 
## [466]    train-mlogloss:0.054213+0.001157    test-mlogloss:0.775554+0.016359 
## [467]    train-mlogloss:0.054041+0.001127    test-mlogloss:0.775640+0.016580 
## [468]    train-mlogloss:0.053810+0.001124    test-mlogloss:0.776327+0.016519 
## [469]    train-mlogloss:0.053647+0.001140    test-mlogloss:0.776815+0.016740 
## [470]    train-mlogloss:0.053496+0.001122    test-mlogloss:0.777058+0.016779 
## [471]    train-mlogloss:0.053337+0.001163    test-mlogloss:0.777475+0.016826 
## [472]    train-mlogloss:0.053154+0.001140    test-mlogloss:0.777878+0.016771 
## [473]    train-mlogloss:0.053000+0.001147    test-mlogloss:0.778292+0.016945 
## [474]    train-mlogloss:0.052835+0.001112    test-mlogloss:0.778848+0.017128 
## [475]    train-mlogloss:0.052630+0.001094    test-mlogloss:0.779429+0.017150 
## [476]    train-mlogloss:0.052445+0.001080    test-mlogloss:0.779739+0.016676 
## [477]    train-mlogloss:0.052263+0.001042    test-mlogloss:0.780138+0.016457 
## [478]    train-mlogloss:0.052093+0.001018    test-mlogloss:0.780941+0.016195 
## [479]    train-mlogloss:0.051945+0.001014    test-mlogloss:0.781568+0.016268 
## [480]    train-mlogloss:0.051726+0.000976    test-mlogloss:0.782390+0.016469 
## [481]    train-mlogloss:0.051555+0.001045    test-mlogloss:0.783156+0.016633 
## [482]    train-mlogloss:0.051381+0.001029    test-mlogloss:0.783511+0.016833 
## [483]    train-mlogloss:0.051196+0.001021    test-mlogloss:0.783947+0.016732 
## [484]    train-mlogloss:0.051030+0.001034    test-mlogloss:0.784261+0.016624 
## [485]    train-mlogloss:0.050853+0.001064    test-mlogloss:0.784639+0.016594 
## [486]    train-mlogloss:0.050702+0.001019    test-mlogloss:0.785382+0.016506 
## [487]    train-mlogloss:0.050507+0.000998    test-mlogloss:0.786361+0.016811 
## [488]    train-mlogloss:0.050303+0.000979    test-mlogloss:0.786754+0.016940 
## [489]    train-mlogloss:0.050084+0.000960    test-mlogloss:0.787277+0.016771 
## [490]    train-mlogloss:0.049890+0.001018    test-mlogloss:0.787289+0.016852 
## [491]    train-mlogloss:0.049692+0.001020    test-mlogloss:0.787838+0.016575 
## [492]    train-mlogloss:0.049560+0.001000    test-mlogloss:0.788168+0.016483 
## [493]    train-mlogloss:0.049411+0.000982    test-mlogloss:0.788583+0.016796 
## [494]    train-mlogloss:0.049241+0.000977    test-mlogloss:0.789005+0.016839 
## [495]    train-mlogloss:0.049108+0.000967    test-mlogloss:0.789368+0.016830 
## [496]    train-mlogloss:0.048972+0.000979    test-mlogloss:0.789686+0.016691 
## [497]    train-mlogloss:0.048789+0.001009    test-mlogloss:0.790397+0.016785 
## [498]    train-mlogloss:0.048589+0.000978    test-mlogloss:0.790813+0.016746 
## [499]    train-mlogloss:0.048406+0.000991    test-mlogloss:0.791101+0.016592 
## [500]    train-mlogloss:0.048239+0.000976    test-mlogloss:0.791793+0.016515 
## [1]  train-mlogloss:0.563899+0.000810    test-mlogloss:0.629037+0.001943 
## [2]  train-mlogloss:0.479420+0.001293    test-mlogloss:0.597715+0.001496 
## [3]  train-mlogloss:0.415615+0.000901    test-mlogloss:0.579387+0.003880 
## [4]  train-mlogloss:0.366060+0.001139    test-mlogloss:0.571076+0.005701 
## [5]  train-mlogloss:0.326179+0.001208    test-mlogloss:0.568707+0.007648 
## [6]  train-mlogloss:0.292692+0.000553    test-mlogloss:0.568420+0.007246 
## [7]  train-mlogloss:0.265266+0.000640    test-mlogloss:0.569732+0.007980 
## [8]  train-mlogloss:0.242235+0.000920    test-mlogloss:0.572465+0.009426 
## [9]  train-mlogloss:0.223627+0.001117    test-mlogloss:0.575710+0.009475 
## [10] train-mlogloss:0.206723+0.001081    test-mlogloss:0.578982+0.009487 
## [11] train-mlogloss:0.194159+0.001094    test-mlogloss:0.581880+0.011069 
## [12] train-mlogloss:0.182110+0.002491    test-mlogloss:0.585426+0.012076 
## [13] train-mlogloss:0.173191+0.002180    test-mlogloss:0.587947+0.012420 
## [14] train-mlogloss:0.163986+0.002374    test-mlogloss:0.591064+0.011392 
## [15] train-mlogloss:0.156449+0.003027    test-mlogloss:0.594584+0.012305 
## [16] train-mlogloss:0.149602+0.003102    test-mlogloss:0.597790+0.012055 
## [17] train-mlogloss:0.143640+0.003188    test-mlogloss:0.600626+0.012861 
## [18] train-mlogloss:0.137326+0.003285    test-mlogloss:0.604336+0.014369 
## [19] train-mlogloss:0.133251+0.002997    test-mlogloss:0.606458+0.014114 
## [20] train-mlogloss:0.128431+0.002361    test-mlogloss:0.608896+0.015076 
## [21] train-mlogloss:0.122444+0.001757    test-mlogloss:0.611862+0.014726 
## [22] train-mlogloss:0.118427+0.000727    test-mlogloss:0.614727+0.013955 
## [23] train-mlogloss:0.114333+0.001449    test-mlogloss:0.617544+0.013550 
## [24] train-mlogloss:0.109964+0.001646    test-mlogloss:0.620444+0.013722 
## [25] train-mlogloss:0.105308+0.001483    test-mlogloss:0.622708+0.013795 
## [26] train-mlogloss:0.101332+0.001655    test-mlogloss:0.625041+0.014555 
## [27] train-mlogloss:0.096938+0.001604    test-mlogloss:0.627695+0.014001 
## [28] train-mlogloss:0.093270+0.001764    test-mlogloss:0.629783+0.014238 
## [29] train-mlogloss:0.090337+0.001680    test-mlogloss:0.632313+0.014187 
## [30] train-mlogloss:0.087042+0.001204    test-mlogloss:0.635417+0.014114 
## [31] train-mlogloss:0.083964+0.001141    test-mlogloss:0.638087+0.014235 
## [32] train-mlogloss:0.081150+0.001372    test-mlogloss:0.640178+0.014791 
## [33] train-mlogloss:0.078568+0.001439    test-mlogloss:0.642969+0.014599 
## [34] train-mlogloss:0.076081+0.001316    test-mlogloss:0.645938+0.015112 
## [35] train-mlogloss:0.073825+0.001262    test-mlogloss:0.649372+0.015545 
## [36] train-mlogloss:0.071689+0.001368    test-mlogloss:0.651841+0.016063 
## [37] train-mlogloss:0.069688+0.001255    test-mlogloss:0.655166+0.016648 
## [38] train-mlogloss:0.067494+0.001129    test-mlogloss:0.657835+0.017393 
## [39] train-mlogloss:0.065626+0.001176    test-mlogloss:0.660383+0.017018 
## [40] train-mlogloss:0.063856+0.001330    test-mlogloss:0.662280+0.017403 
## [41] train-mlogloss:0.062215+0.001383    test-mlogloss:0.664441+0.017639 
## [42] train-mlogloss:0.060580+0.001236    test-mlogloss:0.666588+0.017759 
## [43] train-mlogloss:0.059070+0.001182    test-mlogloss:0.668840+0.018057 
## [44] train-mlogloss:0.057551+0.001095    test-mlogloss:0.671162+0.018296 
## [45] train-mlogloss:0.056104+0.001128    test-mlogloss:0.674082+0.018488 
## [46] train-mlogloss:0.054672+0.001081    test-mlogloss:0.676532+0.018624 
## [47] train-mlogloss:0.053435+0.001041    test-mlogloss:0.678255+0.019141 
## [48] train-mlogloss:0.052225+0.001089    test-mlogloss:0.680929+0.019429 
## [49] train-mlogloss:0.051073+0.001124    test-mlogloss:0.682563+0.019170 
## [50] train-mlogloss:0.050026+0.001093    test-mlogloss:0.684648+0.019160 
## [51] train-mlogloss:0.049063+0.001110    test-mlogloss:0.686058+0.019246 
## [52] train-mlogloss:0.048101+0.001056    test-mlogloss:0.688140+0.019625 
## [53] train-mlogloss:0.047094+0.001009    test-mlogloss:0.690562+0.019404 
## [54] train-mlogloss:0.046169+0.000865    test-mlogloss:0.692046+0.019376 
## [55] train-mlogloss:0.045164+0.000833    test-mlogloss:0.693977+0.019778 
## [56] train-mlogloss:0.044307+0.000840    test-mlogloss:0.695784+0.019642 
## [57] train-mlogloss:0.043454+0.000857    test-mlogloss:0.697567+0.019865 
## [58] train-mlogloss:0.042611+0.000821    test-mlogloss:0.699926+0.020196 
## [59] train-mlogloss:0.041820+0.000834    test-mlogloss:0.701829+0.020550 
## [60] train-mlogloss:0.041105+0.000746    test-mlogloss:0.703749+0.019822 
## [61] train-mlogloss:0.040404+0.000759    test-mlogloss:0.706007+0.020297 
## [62] train-mlogloss:0.039697+0.000721    test-mlogloss:0.708150+0.019934 
## [63] train-mlogloss:0.039099+0.000676    test-mlogloss:0.710186+0.020351 
## [64] train-mlogloss:0.038412+0.000661    test-mlogloss:0.712131+0.020233 
## [65] train-mlogloss:0.037765+0.000635    test-mlogloss:0.713489+0.019532 
## [66] train-mlogloss:0.037137+0.000603    test-mlogloss:0.715510+0.019487 
## [67] train-mlogloss:0.036561+0.000593    test-mlogloss:0.717171+0.019924 
## [68] train-mlogloss:0.035981+0.000545    test-mlogloss:0.719067+0.020289 
## [69] train-mlogloss:0.035419+0.000508    test-mlogloss:0.720407+0.020167 
## [70] train-mlogloss:0.034893+0.000458    test-mlogloss:0.722355+0.020406 
## [71] train-mlogloss:0.034352+0.000441    test-mlogloss:0.724137+0.020977 
## [72] train-mlogloss:0.033835+0.000422    test-mlogloss:0.725796+0.021550 
## [73] train-mlogloss:0.033345+0.000404    test-mlogloss:0.727414+0.021693 
## [74] train-mlogloss:0.032876+0.000389    test-mlogloss:0.729254+0.021883 
## [75] train-mlogloss:0.032430+0.000382    test-mlogloss:0.730708+0.022090 
## [76] train-mlogloss:0.032012+0.000335    test-mlogloss:0.732262+0.021840 
## [77] train-mlogloss:0.031588+0.000342    test-mlogloss:0.733620+0.021675 
## [78] train-mlogloss:0.031163+0.000318    test-mlogloss:0.735214+0.021959 
## [79] train-mlogloss:0.030751+0.000311    test-mlogloss:0.736562+0.022367 
## [80] train-mlogloss:0.030345+0.000306    test-mlogloss:0.738409+0.022072 
## [81] train-mlogloss:0.029948+0.000302    test-mlogloss:0.739663+0.021771 
## [82] train-mlogloss:0.029587+0.000309    test-mlogloss:0.740768+0.021784 
## [83] train-mlogloss:0.029253+0.000324    test-mlogloss:0.742071+0.021607 
## [84] train-mlogloss:0.028904+0.000317    test-mlogloss:0.743224+0.021376 
## [85] train-mlogloss:0.028570+0.000319    test-mlogloss:0.744814+0.021466 
## [86] train-mlogloss:0.028233+0.000303    test-mlogloss:0.746027+0.021379 
## [87] train-mlogloss:0.027901+0.000293    test-mlogloss:0.747593+0.021763 
## [88] train-mlogloss:0.027598+0.000297    test-mlogloss:0.748988+0.021891 
## [89] train-mlogloss:0.027303+0.000298    test-mlogloss:0.750318+0.022030 
## [90] train-mlogloss:0.026988+0.000287    test-mlogloss:0.751591+0.022197 
## [91] train-mlogloss:0.026690+0.000278    test-mlogloss:0.753094+0.022110 
## [92] train-mlogloss:0.026398+0.000261    test-mlogloss:0.754487+0.022179 
## [93] train-mlogloss:0.026100+0.000250    test-mlogloss:0.755339+0.022207 
## [94] train-mlogloss:0.025828+0.000244    test-mlogloss:0.756819+0.022135 
## [95] train-mlogloss:0.025560+0.000249    test-mlogloss:0.757665+0.022476 
## [96] train-mlogloss:0.025295+0.000264    test-mlogloss:0.758902+0.022477 
## [97] train-mlogloss:0.025028+0.000260    test-mlogloss:0.760379+0.022365 
## [98] train-mlogloss:0.024777+0.000255    test-mlogloss:0.761583+0.022380 
## [99] train-mlogloss:0.024535+0.000254    test-mlogloss:0.763138+0.022455 
## [100]    train-mlogloss:0.024295+0.000252    test-mlogloss:0.764061+0.022697 
## [101]    train-mlogloss:0.024060+0.000255    test-mlogloss:0.764964+0.022760 
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## [12] train-mlogloss:0.426693+0.006100    test-mlogloss:0.562225+0.014519 
## [13] train-mlogloss:0.419962+0.005838    test-mlogloss:0.565401+0.014964 
## [14] train-mlogloss:0.413241+0.005445    test-mlogloss:0.568142+0.014853 
## [15] train-mlogloss:0.407472+0.005891    test-mlogloss:0.569397+0.014418 
## [16] train-mlogloss:0.400967+0.005965    test-mlogloss:0.572502+0.015495 
## [17] train-mlogloss:0.395518+0.006438    test-mlogloss:0.575083+0.016975 
## [18] train-mlogloss:0.389986+0.006914    test-mlogloss:0.576576+0.017606 
## [19] train-mlogloss:0.384224+0.006261    test-mlogloss:0.577953+0.018331 
## [20] train-mlogloss:0.377351+0.005127    test-mlogloss:0.580909+0.018540 
## [21] train-mlogloss:0.371581+0.006020    test-mlogloss:0.582370+0.018191 
## [22] train-mlogloss:0.365924+0.005363    test-mlogloss:0.584497+0.018298 
## [23] train-mlogloss:0.360180+0.005091    test-mlogloss:0.586781+0.018728 
## [24] train-mlogloss:0.355677+0.006175    test-mlogloss:0.588639+0.018670 
## [25] train-mlogloss:0.350084+0.005926    test-mlogloss:0.591287+0.019073 
## [26] train-mlogloss:0.345415+0.006016    test-mlogloss:0.592660+0.018715 
## [27] train-mlogloss:0.340771+0.005865    test-mlogloss:0.594028+0.017644 
## [28] train-mlogloss:0.336319+0.006055    test-mlogloss:0.596267+0.018275 
## [29] train-mlogloss:0.331384+0.006363    test-mlogloss:0.599143+0.017657 
## [30] train-mlogloss:0.326740+0.006620    test-mlogloss:0.602339+0.019195 
## [31] train-mlogloss:0.321917+0.006933    test-mlogloss:0.605029+0.019412 
## [32] train-mlogloss:0.316166+0.006981    test-mlogloss:0.607259+0.020897 
## [33] train-mlogloss:0.311829+0.007719    test-mlogloss:0.609377+0.020922 
## [34] train-mlogloss:0.306520+0.005720    test-mlogloss:0.611082+0.020585 
## [35] train-mlogloss:0.301643+0.005424    test-mlogloss:0.614046+0.021324 
## [36] train-mlogloss:0.296919+0.005165    test-mlogloss:0.615926+0.021913 
## [37] train-mlogloss:0.292165+0.005924    test-mlogloss:0.618063+0.022373 
## [38] train-mlogloss:0.288258+0.006535    test-mlogloss:0.620886+0.022515 
## [39] train-mlogloss:0.283587+0.007760    test-mlogloss:0.622331+0.023316 
## [40] train-mlogloss:0.280392+0.008290    test-mlogloss:0.623311+0.023362 
## [41] train-mlogloss:0.275440+0.007472    test-mlogloss:0.626736+0.022887 
## [42] train-mlogloss:0.271980+0.007308    test-mlogloss:0.628245+0.022654 
## [43] train-mlogloss:0.267946+0.007130    test-mlogloss:0.629487+0.021976 
## [44] train-mlogloss:0.264031+0.007275    test-mlogloss:0.631903+0.021620 
## [45] train-mlogloss:0.260445+0.007351    test-mlogloss:0.633995+0.021520 
## [46] train-mlogloss:0.255977+0.008506    test-mlogloss:0.636642+0.022999 
## [47] train-mlogloss:0.252223+0.008408    test-mlogloss:0.638716+0.023426 
## [48] train-mlogloss:0.248243+0.007949    test-mlogloss:0.639619+0.023286 
## [49] train-mlogloss:0.244601+0.008184    test-mlogloss:0.641986+0.022590 
## [50] train-mlogloss:0.240384+0.007337    test-mlogloss:0.645061+0.022722 
## [51] train-mlogloss:0.236068+0.007537    test-mlogloss:0.646968+0.021744 
## [52] train-mlogloss:0.232674+0.007106    test-mlogloss:0.650254+0.023504 
## [53] train-mlogloss:0.229706+0.007011    test-mlogloss:0.654008+0.023817 
## [54] train-mlogloss:0.226551+0.006712    test-mlogloss:0.655204+0.023129 
## [55] train-mlogloss:0.223408+0.006956    test-mlogloss:0.658559+0.022588 
## [56] train-mlogloss:0.220148+0.006503    test-mlogloss:0.660151+0.023111 
## [57] train-mlogloss:0.217041+0.006122    test-mlogloss:0.660221+0.024244 
## [58] train-mlogloss:0.213736+0.006187    test-mlogloss:0.661396+0.023471 
## [59] train-mlogloss:0.210510+0.005666    test-mlogloss:0.662630+0.022664 
## [60] train-mlogloss:0.207858+0.005607    test-mlogloss:0.664654+0.023200 
## [61] train-mlogloss:0.204446+0.005155    test-mlogloss:0.667915+0.022782 
## [62] train-mlogloss:0.201430+0.005435    test-mlogloss:0.672075+0.023790 
## [63] train-mlogloss:0.198315+0.005522    test-mlogloss:0.673399+0.025152 
## [64] train-mlogloss:0.195383+0.004885    test-mlogloss:0.675184+0.026509 
## [65] train-mlogloss:0.192762+0.005171    test-mlogloss:0.675403+0.026711 
## [66] train-mlogloss:0.189989+0.005692    test-mlogloss:0.677347+0.027310 
## [67] train-mlogloss:0.187477+0.005833    test-mlogloss:0.679300+0.027378 
## [68] train-mlogloss:0.184826+0.005944    test-mlogloss:0.680172+0.026994 
## [69] train-mlogloss:0.182287+0.005858    test-mlogloss:0.682819+0.027308 
## [70] train-mlogloss:0.179548+0.005564    test-mlogloss:0.684912+0.027428 
## [71] train-mlogloss:0.176658+0.004817    test-mlogloss:0.686919+0.027339 
## [72] train-mlogloss:0.174528+0.004757    test-mlogloss:0.689477+0.026716 
## [73] train-mlogloss:0.172307+0.005136    test-mlogloss:0.691056+0.027811 
## [74] train-mlogloss:0.169642+0.005123    test-mlogloss:0.693220+0.028571 
## [75] train-mlogloss:0.167258+0.005369    test-mlogloss:0.695491+0.029423 
## [76] train-mlogloss:0.164578+0.005246    test-mlogloss:0.698048+0.029777 
## [77] train-mlogloss:0.162371+0.005176    test-mlogloss:0.699105+0.029692 
## [78] train-mlogloss:0.159971+0.005390    test-mlogloss:0.701341+0.030349 
## [79] train-mlogloss:0.157689+0.005633    test-mlogloss:0.702134+0.031111 
## [80] train-mlogloss:0.155112+0.005502    test-mlogloss:0.705002+0.032676 
## [81] train-mlogloss:0.153170+0.005540    test-mlogloss:0.706532+0.032724 
## [82] train-mlogloss:0.151015+0.005586    test-mlogloss:0.708321+0.032636 
## [83] train-mlogloss:0.148839+0.006122    test-mlogloss:0.709507+0.032748 
## [84] train-mlogloss:0.146554+0.006333    test-mlogloss:0.710550+0.032649 
## [85] train-mlogloss:0.144064+0.006472    test-mlogloss:0.712023+0.034014 
## [86] train-mlogloss:0.142036+0.006359    test-mlogloss:0.714003+0.033120 
## [87] train-mlogloss:0.140143+0.006129    test-mlogloss:0.716322+0.032838 
## [88] train-mlogloss:0.138059+0.005900    test-mlogloss:0.719731+0.032612 
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## [93] train-mlogloss:0.129605+0.005857    test-mlogloss:0.727108+0.034969 
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## [421]    train-mlogloss:0.011532+0.000453    test-mlogloss:1.092560+0.075932 
## [422]    train-mlogloss:0.011485+0.000450    test-mlogloss:1.093524+0.075735 
## [423]    train-mlogloss:0.011433+0.000449    test-mlogloss:1.094197+0.077009 
## [424]    train-mlogloss:0.011392+0.000441    test-mlogloss:1.093968+0.077469 
## [425]    train-mlogloss:0.011349+0.000445    test-mlogloss:1.095123+0.078122 
## [426]    train-mlogloss:0.011309+0.000449    test-mlogloss:1.095570+0.077798 
## [427]    train-mlogloss:0.011271+0.000447    test-mlogloss:1.096602+0.078013 
## [428]    train-mlogloss:0.011234+0.000445    test-mlogloss:1.097856+0.077800 
## [429]    train-mlogloss:0.011189+0.000438    test-mlogloss:1.097868+0.077504 
## [430]    train-mlogloss:0.011144+0.000426    test-mlogloss:1.098130+0.077250 
## [431]    train-mlogloss:0.011099+0.000416    test-mlogloss:1.098675+0.077733 
## [432]    train-mlogloss:0.011057+0.000413    test-mlogloss:1.099054+0.078220 
## [433]    train-mlogloss:0.011015+0.000416    test-mlogloss:1.099430+0.077512 
## [434]    train-mlogloss:0.010977+0.000412    test-mlogloss:1.100274+0.077954 
## [435]    train-mlogloss:0.010940+0.000410    test-mlogloss:1.100729+0.078016 
## [436]    train-mlogloss:0.010899+0.000411    test-mlogloss:1.102094+0.078055 
## [437]    train-mlogloss:0.010859+0.000406    test-mlogloss:1.102752+0.078988 
## [438]    train-mlogloss:0.010815+0.000406    test-mlogloss:1.103317+0.078920 
## [439]    train-mlogloss:0.010784+0.000410    test-mlogloss:1.104802+0.079301 
## [440]    train-mlogloss:0.010756+0.000413    test-mlogloss:1.105476+0.078582 
## [441]    train-mlogloss:0.010718+0.000423    test-mlogloss:1.106059+0.078608 
## [442]    train-mlogloss:0.010686+0.000429    test-mlogloss:1.105837+0.079205 
## [443]    train-mlogloss:0.010649+0.000432    test-mlogloss:1.107090+0.079555 
## [444]    train-mlogloss:0.010608+0.000424    test-mlogloss:1.106906+0.078824 
## [445]    train-mlogloss:0.010572+0.000418    test-mlogloss:1.108160+0.078681 
## [446]    train-mlogloss:0.010522+0.000409    test-mlogloss:1.108677+0.078821 
## [447]    train-mlogloss:0.010487+0.000410    test-mlogloss:1.108380+0.078472 
## [448]    train-mlogloss:0.010457+0.000411    test-mlogloss:1.109151+0.078213 
## [449]    train-mlogloss:0.010422+0.000402    test-mlogloss:1.109430+0.078261 
## [450]    train-mlogloss:0.010388+0.000405    test-mlogloss:1.110053+0.079708 
## [451]    train-mlogloss:0.010356+0.000406    test-mlogloss:1.110091+0.079606 
## [452]    train-mlogloss:0.010320+0.000400    test-mlogloss:1.110087+0.079804 
## [453]    train-mlogloss:0.010288+0.000400    test-mlogloss:1.110751+0.079566 
## [454]    train-mlogloss:0.010250+0.000406    test-mlogloss:1.111848+0.079270 
## [455]    train-mlogloss:0.010211+0.000402    test-mlogloss:1.112646+0.078658 
## [456]    train-mlogloss:0.010178+0.000400    test-mlogloss:1.113303+0.078506 
## [457]    train-mlogloss:0.010140+0.000398    test-mlogloss:1.113878+0.078461 
## [458]    train-mlogloss:0.010108+0.000391    test-mlogloss:1.114580+0.078510 
## [459]    train-mlogloss:0.010082+0.000384    test-mlogloss:1.114722+0.078351 
## [460]    train-mlogloss:0.010055+0.000382    test-mlogloss:1.115445+0.078368 
## [461]    train-mlogloss:0.010023+0.000382    test-mlogloss:1.116779+0.078157 
## [462]    train-mlogloss:0.009995+0.000382    test-mlogloss:1.117288+0.078044 
## [463]    train-mlogloss:0.009971+0.000382    test-mlogloss:1.117664+0.077853 
## [464]    train-mlogloss:0.009944+0.000384    test-mlogloss:1.117806+0.078608 
## [465]    train-mlogloss:0.009902+0.000378    test-mlogloss:1.118471+0.078877 
## [466]    train-mlogloss:0.009874+0.000376    test-mlogloss:1.119422+0.079209 
## [467]    train-mlogloss:0.009841+0.000368    test-mlogloss:1.119367+0.079062 
## [468]    train-mlogloss:0.009804+0.000368    test-mlogloss:1.119473+0.078671 
## [469]    train-mlogloss:0.009780+0.000369    test-mlogloss:1.120033+0.079268 
## [470]    train-mlogloss:0.009752+0.000376    test-mlogloss:1.121031+0.079456 
## [471]    train-mlogloss:0.009720+0.000368    test-mlogloss:1.121697+0.079148 
## [472]    train-mlogloss:0.009689+0.000375    test-mlogloss:1.121877+0.078722 
## [473]    train-mlogloss:0.009656+0.000367    test-mlogloss:1.122844+0.078987 
## [474]    train-mlogloss:0.009624+0.000355    test-mlogloss:1.123199+0.079252 
## [475]    train-mlogloss:0.009592+0.000358    test-mlogloss:1.124416+0.079512 
## [476]    train-mlogloss:0.009557+0.000352    test-mlogloss:1.125075+0.079490 
## [477]    train-mlogloss:0.009532+0.000349    test-mlogloss:1.125868+0.079507 
## [478]    train-mlogloss:0.009503+0.000341    test-mlogloss:1.126955+0.079957 
## [479]    train-mlogloss:0.009470+0.000339    test-mlogloss:1.127135+0.079963 
## [480]    train-mlogloss:0.009446+0.000342    test-mlogloss:1.127666+0.080073 
## [481]    train-mlogloss:0.009420+0.000338    test-mlogloss:1.127549+0.080535 
## [482]    train-mlogloss:0.009386+0.000337    test-mlogloss:1.127990+0.080593 
## [483]    train-mlogloss:0.009346+0.000330    test-mlogloss:1.128694+0.080241 
## [484]    train-mlogloss:0.009313+0.000327    test-mlogloss:1.129850+0.080023 
## [485]    train-mlogloss:0.009285+0.000320    test-mlogloss:1.130420+0.080402 
## [486]    train-mlogloss:0.009257+0.000328    test-mlogloss:1.131682+0.080720 
## [487]    train-mlogloss:0.009232+0.000318    test-mlogloss:1.132364+0.080069 
## [488]    train-mlogloss:0.009199+0.000322    test-mlogloss:1.132863+0.080050 
## [489]    train-mlogloss:0.009175+0.000324    test-mlogloss:1.133692+0.080714 
## [490]    train-mlogloss:0.009151+0.000314    test-mlogloss:1.133699+0.080365 
## [491]    train-mlogloss:0.009124+0.000315    test-mlogloss:1.134113+0.080683 
## [492]    train-mlogloss:0.009100+0.000313    test-mlogloss:1.134401+0.080714 
## [493]    train-mlogloss:0.009072+0.000305    test-mlogloss:1.134685+0.079759 
## [494]    train-mlogloss:0.009050+0.000303    test-mlogloss:1.134737+0.080408 
## [495]    train-mlogloss:0.009023+0.000305    test-mlogloss:1.135686+0.080891 
## [496]    train-mlogloss:0.008991+0.000303    test-mlogloss:1.135978+0.081017 
## [497]    train-mlogloss:0.008965+0.000301    test-mlogloss:1.136297+0.080879 
## [498]    train-mlogloss:0.008939+0.000295    test-mlogloss:1.136502+0.080688 
## [499]    train-mlogloss:0.008911+0.000298    test-mlogloss:1.138354+0.081071 
## [500]    train-mlogloss:0.008885+0.000299    test-mlogloss:1.138601+0.081804 
## [1]  train-mlogloss:0.426393+0.002888    test-mlogloss:0.581129+0.003706 
## [2]  train-mlogloss:0.315465+0.002692    test-mlogloss:0.584544+0.009133 
## [3]  train-mlogloss:0.247402+0.003293    test-mlogloss:0.602996+0.014517 
## [4]  train-mlogloss:0.204126+0.005936    test-mlogloss:0.622380+0.015247 
## [5]  train-mlogloss:0.175319+0.008507    test-mlogloss:0.632803+0.016573 
## [6]  train-mlogloss:0.150794+0.005595    test-mlogloss:0.648501+0.023477 
## [7]  train-mlogloss:0.131248+0.005608    test-mlogloss:0.660530+0.024326 
## [8]  train-mlogloss:0.115654+0.004199    test-mlogloss:0.669896+0.025720 
## [9]  train-mlogloss:0.104098+0.002886    test-mlogloss:0.679696+0.029033 
## [10] train-mlogloss:0.094969+0.002642    test-mlogloss:0.688974+0.030591 
## [11] train-mlogloss:0.086326+0.002345    test-mlogloss:0.694729+0.031772 
## [12] train-mlogloss:0.077956+0.002044    test-mlogloss:0.705357+0.033765 
## [13] train-mlogloss:0.071337+0.001895    test-mlogloss:0.715097+0.033787 
## [14] train-mlogloss:0.065700+0.001685    test-mlogloss:0.720928+0.037574 
## [15] train-mlogloss:0.061064+0.001171    test-mlogloss:0.728888+0.037666 
## [16] train-mlogloss:0.056719+0.001054    test-mlogloss:0.734104+0.037648 
## [17] train-mlogloss:0.053098+0.000736    test-mlogloss:0.741032+0.037524 
## [18] train-mlogloss:0.049766+0.000724    test-mlogloss:0.747793+0.037775 
## [19] train-mlogloss:0.046852+0.000728    test-mlogloss:0.753893+0.037276 
## [20] train-mlogloss:0.044303+0.000613    test-mlogloss:0.759855+0.038109 
## [21] train-mlogloss:0.042033+0.000584    test-mlogloss:0.763798+0.039833 
## [22] train-mlogloss:0.039938+0.000610    test-mlogloss:0.768236+0.041604 
## [23] train-mlogloss:0.038078+0.000629    test-mlogloss:0.772839+0.040866 
## [24] train-mlogloss:0.036365+0.000576    test-mlogloss:0.777924+0.041958 
## [25] train-mlogloss:0.034874+0.000492    test-mlogloss:0.782513+0.040904 
## [26] train-mlogloss:0.033488+0.000509    test-mlogloss:0.785747+0.040889 
## [27] train-mlogloss:0.032231+0.000489    test-mlogloss:0.790656+0.040964 
## [28] train-mlogloss:0.031059+0.000516    test-mlogloss:0.795543+0.040864 
## [29] train-mlogloss:0.030015+0.000518    test-mlogloss:0.800200+0.041177 
## [30] train-mlogloss:0.028965+0.000465    test-mlogloss:0.803995+0.042834 
## [31] train-mlogloss:0.028027+0.000390    test-mlogloss:0.807781+0.043245 
## [32] train-mlogloss:0.027160+0.000355    test-mlogloss:0.813146+0.043138 
## [33] train-mlogloss:0.026366+0.000355    test-mlogloss:0.815931+0.042917 
## [34] train-mlogloss:0.025567+0.000357    test-mlogloss:0.818055+0.042605 
## [35] train-mlogloss:0.024884+0.000339    test-mlogloss:0.822189+0.042941 
## [36] train-mlogloss:0.024227+0.000296    test-mlogloss:0.825647+0.042996 
## [37] train-mlogloss:0.023623+0.000278    test-mlogloss:0.829305+0.042744 
## [38] train-mlogloss:0.023025+0.000269    test-mlogloss:0.834034+0.043516 
## [39] train-mlogloss:0.022452+0.000257    test-mlogloss:0.837095+0.042827 
## [40] train-mlogloss:0.021933+0.000256    test-mlogloss:0.839468+0.042602 
## [41] train-mlogloss:0.021446+0.000254    test-mlogloss:0.842826+0.043295 
## [42] train-mlogloss:0.020972+0.000237    test-mlogloss:0.844748+0.044328 
## [43] train-mlogloss:0.020545+0.000226    test-mlogloss:0.848205+0.044779 
## [44] train-mlogloss:0.020123+0.000221    test-mlogloss:0.851051+0.044787 
## [45] train-mlogloss:0.019714+0.000208    test-mlogloss:0.853217+0.045369 
## [46] train-mlogloss:0.019319+0.000205    test-mlogloss:0.855966+0.044278 
## [47] train-mlogloss:0.018946+0.000230    test-mlogloss:0.858322+0.046059 
## [48] train-mlogloss:0.018600+0.000238    test-mlogloss:0.861183+0.044967 
## [49] train-mlogloss:0.018264+0.000232    test-mlogloss:0.863325+0.044902 
## [50] train-mlogloss:0.017940+0.000230    test-mlogloss:0.864934+0.044714 
## [51] train-mlogloss:0.017635+0.000222    test-mlogloss:0.868116+0.045690 
## [52] train-mlogloss:0.017340+0.000214    test-mlogloss:0.870883+0.044396 
## [53] train-mlogloss:0.017047+0.000196    test-mlogloss:0.872843+0.044185 
## [54] train-mlogloss:0.016785+0.000188    test-mlogloss:0.874532+0.044290 
## [55] train-mlogloss:0.016520+0.000190    test-mlogloss:0.877004+0.044109 
## [56] train-mlogloss:0.016275+0.000181    test-mlogloss:0.878760+0.044500 
## [57] train-mlogloss:0.016054+0.000184    test-mlogloss:0.879947+0.044433 
## [58] train-mlogloss:0.015820+0.000181    test-mlogloss:0.881338+0.044987 
## [59] train-mlogloss:0.015592+0.000167    test-mlogloss:0.883653+0.044777 
## [60] train-mlogloss:0.015380+0.000157    test-mlogloss:0.886550+0.043699 
## [61] train-mlogloss:0.015171+0.000147    test-mlogloss:0.886676+0.043895 
## [62] train-mlogloss:0.014957+0.000161    test-mlogloss:0.889239+0.045013 
## [63] train-mlogloss:0.014742+0.000162    test-mlogloss:0.890601+0.044478 
## [64] train-mlogloss:0.014554+0.000164    test-mlogloss:0.892145+0.044941 
## [65] train-mlogloss:0.014370+0.000160    test-mlogloss:0.893332+0.045321 
## [66] train-mlogloss:0.014192+0.000148    test-mlogloss:0.896496+0.046488 
## [67] train-mlogloss:0.014031+0.000143    test-mlogloss:0.898573+0.046948 
## [68] train-mlogloss:0.013862+0.000144    test-mlogloss:0.899872+0.047512 
## [69] train-mlogloss:0.013694+0.000139    test-mlogloss:0.901651+0.047874 
## [70] train-mlogloss:0.013543+0.000136    test-mlogloss:0.903362+0.048082 
## [71] train-mlogloss:0.013387+0.000122    test-mlogloss:0.904553+0.048484 
## [72] train-mlogloss:0.013236+0.000119    test-mlogloss:0.906159+0.046953 
## [73] train-mlogloss:0.013089+0.000120    test-mlogloss:0.908494+0.047047 
## [74] train-mlogloss:0.012956+0.000120    test-mlogloss:0.909690+0.047234 
## [75] train-mlogloss:0.012822+0.000117    test-mlogloss:0.911144+0.047459 
## [76] train-mlogloss:0.012693+0.000111    test-mlogloss:0.913359+0.047684 
## [77] train-mlogloss:0.012558+0.000103    test-mlogloss:0.914227+0.047899 
## [78] train-mlogloss:0.012422+0.000109    test-mlogloss:0.914672+0.047613 
## [79] train-mlogloss:0.012288+0.000110    test-mlogloss:0.916125+0.047028 
## [80] train-mlogloss:0.012177+0.000108    test-mlogloss:0.918077+0.047119 
## [81] train-mlogloss:0.012067+0.000111    test-mlogloss:0.918811+0.047328 
## [82] train-mlogloss:0.011956+0.000110    test-mlogloss:0.919863+0.048143 
## [83] train-mlogloss:0.011849+0.000105    test-mlogloss:0.921032+0.048388 
## [84] train-mlogloss:0.011740+0.000106    test-mlogloss:0.921994+0.048377 
## [85] train-mlogloss:0.011629+0.000101    test-mlogloss:0.924271+0.046878 
## [86] train-mlogloss:0.011523+0.000104    test-mlogloss:0.924768+0.046975 
## [87] train-mlogloss:0.011416+0.000097    test-mlogloss:0.925781+0.047475 
## [88] train-mlogloss:0.011320+0.000103    test-mlogloss:0.927278+0.047170 
## [89] train-mlogloss:0.011217+0.000106    test-mlogloss:0.929133+0.047637 
## [90] train-mlogloss:0.011115+0.000103    test-mlogloss:0.930543+0.047541 
## [91] train-mlogloss:0.011023+0.000098    test-mlogloss:0.931462+0.046765 
## [92] train-mlogloss:0.010925+0.000091    test-mlogloss:0.932645+0.048247 
## [93] train-mlogloss:0.010843+0.000095    test-mlogloss:0.933819+0.046745 
## [94] train-mlogloss:0.010761+0.000095    test-mlogloss:0.934224+0.047028 
## [95] train-mlogloss:0.010671+0.000088    test-mlogloss:0.936252+0.046530 
## [96] train-mlogloss:0.010586+0.000087    test-mlogloss:0.937527+0.046788 
## [97] train-mlogloss:0.010508+0.000085    test-mlogloss:0.938130+0.047211 
## [98] train-mlogloss:0.010428+0.000081    test-mlogloss:0.938943+0.047297 
## [99] train-mlogloss:0.010346+0.000079    test-mlogloss:0.940635+0.047210 
## [100]    train-mlogloss:0.010267+0.000073    test-mlogloss:0.942036+0.047746 
## [101]    train-mlogloss:0.010190+0.000069    test-mlogloss:0.943368+0.047709 
## [102]    train-mlogloss:0.010118+0.000066    test-mlogloss:0.944619+0.047615 
## [103]    train-mlogloss:0.010046+0.000065    test-mlogloss:0.945738+0.047693 
## [104]    train-mlogloss:0.009977+0.000069    test-mlogloss:0.946757+0.047159 
## [105]    train-mlogloss:0.009911+0.000070    test-mlogloss:0.947720+0.046917 
## [106]    train-mlogloss:0.009844+0.000072    test-mlogloss:0.948897+0.047347 
## [107]    train-mlogloss:0.009772+0.000069    test-mlogloss:0.950013+0.047921 
## [108]    train-mlogloss:0.009708+0.000067    test-mlogloss:0.951191+0.048782 
## [109]    train-mlogloss:0.009645+0.000067    test-mlogloss:0.952127+0.048455 
## [110]    train-mlogloss:0.009583+0.000059    test-mlogloss:0.952248+0.048679 
## [111]    train-mlogloss:0.009517+0.000060    test-mlogloss:0.953158+0.048392 
## [112]    train-mlogloss:0.009454+0.000063    test-mlogloss:0.953712+0.048892 
## [113]    train-mlogloss:0.009397+0.000061    test-mlogloss:0.954741+0.048928 
## [114]    train-mlogloss:0.009340+0.000058    test-mlogloss:0.955292+0.049496 
## [115]    train-mlogloss:0.009282+0.000055    test-mlogloss:0.955995+0.050233 
## [116]    train-mlogloss:0.009231+0.000056    test-mlogloss:0.957482+0.050271 
## [117]    train-mlogloss:0.009171+0.000057    test-mlogloss:0.959590+0.050270 
## [118]    train-mlogloss:0.009116+0.000054    test-mlogloss:0.960668+0.050559 
## [119]    train-mlogloss:0.009059+0.000054    test-mlogloss:0.961940+0.051017 
## [120]    train-mlogloss:0.009001+0.000053    test-mlogloss:0.963353+0.051235 
## [121]    train-mlogloss:0.008948+0.000054    test-mlogloss:0.964356+0.050676 
## [122]    train-mlogloss:0.008895+0.000060    test-mlogloss:0.966431+0.051182 
## [123]    train-mlogloss:0.008844+0.000054    test-mlogloss:0.967042+0.051396 
## [124]    train-mlogloss:0.008789+0.000050    test-mlogloss:0.967626+0.050978 
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## [491]    train-mlogloss:0.003707+0.000025    test-mlogloss:1.108347+0.057587 
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## [499]    train-mlogloss:0.003675+0.000024    test-mlogloss:1.109978+0.057552 
## [500]    train-mlogloss:0.003671+0.000025    test-mlogloss:1.111077+0.058069 
## [1]  train-mlogloss:0.522157+0.002580    test-mlogloss:0.545993+0.008772 
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## [4]  train-mlogloss:0.479530+0.004153    test-mlogloss:0.551995+0.009070 
## [5]  train-mlogloss:0.468602+0.004383    test-mlogloss:0.557873+0.010717 
## [6]  train-mlogloss:0.460525+0.005258    test-mlogloss:0.563147+0.010458 
## [7]  train-mlogloss:0.452564+0.006706    test-mlogloss:0.566218+0.010353 
## [8]  train-mlogloss:0.443430+0.008098    test-mlogloss:0.567649+0.012183 
## [9]  train-mlogloss:0.437366+0.009341    test-mlogloss:0.570117+0.011299 
## [10] train-mlogloss:0.428954+0.008858    test-mlogloss:0.572267+0.011728 
## [11] train-mlogloss:0.421866+0.009425    test-mlogloss:0.575749+0.010778 
## [12] train-mlogloss:0.415555+0.008635    test-mlogloss:0.578324+0.011388 
## [13] train-mlogloss:0.408656+0.008255    test-mlogloss:0.582239+0.011319 
## [14] train-mlogloss:0.401541+0.008972    test-mlogloss:0.585066+0.011838 
## [15] train-mlogloss:0.395030+0.009521    test-mlogloss:0.588067+0.012661 
## [16] train-mlogloss:0.389813+0.010257    test-mlogloss:0.590375+0.013387 
## [17] train-mlogloss:0.382058+0.009634    test-mlogloss:0.592897+0.012171 
## [18] train-mlogloss:0.375595+0.009589    test-mlogloss:0.595830+0.011774 
## [19] train-mlogloss:0.369469+0.008670    test-mlogloss:0.599024+0.011333 
## [20] train-mlogloss:0.363550+0.008992    test-mlogloss:0.602984+0.009876 
## [21] train-mlogloss:0.357960+0.007589    test-mlogloss:0.603511+0.011397 
## [22] train-mlogloss:0.351199+0.007110    test-mlogloss:0.608615+0.010009 
## [23] train-mlogloss:0.345175+0.005797    test-mlogloss:0.612267+0.008867 
## [24] train-mlogloss:0.338447+0.004607    test-mlogloss:0.617682+0.008160 
## [25] train-mlogloss:0.331214+0.004427    test-mlogloss:0.621688+0.010697 
## [26] train-mlogloss:0.324819+0.004434    test-mlogloss:0.624773+0.010143 
## [27] train-mlogloss:0.319430+0.004657    test-mlogloss:0.628697+0.010408 
## [28] train-mlogloss:0.313567+0.005165    test-mlogloss:0.629965+0.011598 
## [29] train-mlogloss:0.308167+0.004729    test-mlogloss:0.631601+0.009656 
## [30] train-mlogloss:0.300854+0.004181    test-mlogloss:0.635498+0.010451 
## [31] train-mlogloss:0.295784+0.004294    test-mlogloss:0.639378+0.009759 
## [32] train-mlogloss:0.290188+0.004848    test-mlogloss:0.643805+0.010489 
## [33] train-mlogloss:0.284969+0.004048    test-mlogloss:0.647173+0.011146 
## [34] train-mlogloss:0.279456+0.004545    test-mlogloss:0.649643+0.013174 
## [35] train-mlogloss:0.273252+0.005173    test-mlogloss:0.651290+0.013057 
## [36] train-mlogloss:0.268173+0.005497    test-mlogloss:0.654331+0.012442 
## [37] train-mlogloss:0.262448+0.007202    test-mlogloss:0.658927+0.010707 
## [38] train-mlogloss:0.257080+0.006241    test-mlogloss:0.660386+0.010176 
## [39] train-mlogloss:0.252913+0.006573    test-mlogloss:0.663543+0.009906 
## [40] train-mlogloss:0.247871+0.007018    test-mlogloss:0.666611+0.009603 
## [41] train-mlogloss:0.242878+0.006461    test-mlogloss:0.669143+0.010436 
## [42] train-mlogloss:0.237981+0.007028    test-mlogloss:0.671730+0.010309 
## [43] train-mlogloss:0.233901+0.006935    test-mlogloss:0.674307+0.011293 
## [44] train-mlogloss:0.229415+0.006455    test-mlogloss:0.677806+0.010608 
## [45] train-mlogloss:0.225102+0.005090    test-mlogloss:0.681111+0.010322 
## [46] train-mlogloss:0.221576+0.004775    test-mlogloss:0.685113+0.011384 
## [47] train-mlogloss:0.217368+0.004686    test-mlogloss:0.686737+0.011566 
## [48] train-mlogloss:0.214392+0.004731    test-mlogloss:0.688302+0.010885 
## [49] train-mlogloss:0.210631+0.004539    test-mlogloss:0.690232+0.010359 
## [50] train-mlogloss:0.206780+0.004951    test-mlogloss:0.693837+0.010096 
## [51] train-mlogloss:0.202460+0.004478    test-mlogloss:0.697561+0.008663 
## [52] train-mlogloss:0.198620+0.004551    test-mlogloss:0.700144+0.010372 
## [53] train-mlogloss:0.195432+0.004783    test-mlogloss:0.703773+0.011263 
## [54] train-mlogloss:0.191701+0.004517    test-mlogloss:0.706028+0.011075 
## [55] train-mlogloss:0.187960+0.004084    test-mlogloss:0.711691+0.011067 
## [56] train-mlogloss:0.184827+0.004478    test-mlogloss:0.715710+0.010707 
## [57] train-mlogloss:0.181161+0.005053    test-mlogloss:0.717809+0.012063 
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## [61] train-mlogloss:0.168199+0.006000    test-mlogloss:0.730202+0.011636 
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## [71] train-mlogloss:0.142143+0.004521    test-mlogloss:0.755084+0.010418 
## [72] train-mlogloss:0.139554+0.004160    test-mlogloss:0.756251+0.011624 
## [73] train-mlogloss:0.137289+0.004558    test-mlogloss:0.758306+0.013989 
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## [75] train-mlogloss:0.132649+0.003619    test-mlogloss:0.764072+0.011448 
## [76] train-mlogloss:0.130526+0.003937    test-mlogloss:0.766736+0.010810 
## [77] train-mlogloss:0.127925+0.003699    test-mlogloss:0.767189+0.011024 
## [78] train-mlogloss:0.125838+0.003785    test-mlogloss:0.769094+0.007802 
## [79] train-mlogloss:0.123696+0.003985    test-mlogloss:0.771584+0.007124 
## [80] train-mlogloss:0.121693+0.003914    test-mlogloss:0.774213+0.009558 
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## [83] train-mlogloss:0.115437+0.003865    test-mlogloss:0.782113+0.011722 
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## [446]    train-mlogloss:0.007351+0.000196    test-mlogloss:1.194525+0.021151 
## [447]    train-mlogloss:0.007337+0.000194    test-mlogloss:1.194508+0.020644 
## [448]    train-mlogloss:0.007315+0.000194    test-mlogloss:1.195243+0.020456 
## [449]    train-mlogloss:0.007296+0.000198    test-mlogloss:1.196934+0.020780 
## [450]    train-mlogloss:0.007275+0.000196    test-mlogloss:1.196861+0.020393 
## [451]    train-mlogloss:0.007255+0.000195    test-mlogloss:1.196507+0.020322 
## [452]    train-mlogloss:0.007230+0.000192    test-mlogloss:1.197219+0.020488 
## [453]    train-mlogloss:0.007206+0.000190    test-mlogloss:1.198054+0.020231 
## [454]    train-mlogloss:0.007186+0.000188    test-mlogloss:1.198953+0.020675 
## [455]    train-mlogloss:0.007171+0.000189    test-mlogloss:1.199111+0.021105 
## [456]    train-mlogloss:0.007153+0.000194    test-mlogloss:1.200004+0.021408 
## [457]    train-mlogloss:0.007130+0.000194    test-mlogloss:1.200941+0.021757 
## [458]    train-mlogloss:0.007109+0.000194    test-mlogloss:1.201495+0.022144 
## [459]    train-mlogloss:0.007095+0.000195    test-mlogloss:1.201378+0.022219 
## [460]    train-mlogloss:0.007074+0.000193    test-mlogloss:1.201844+0.022255 
## [461]    train-mlogloss:0.007052+0.000193    test-mlogloss:1.202584+0.021741 
## [462]    train-mlogloss:0.007031+0.000190    test-mlogloss:1.203938+0.021671 
## [463]    train-mlogloss:0.007013+0.000191    test-mlogloss:1.204975+0.021905 
## [464]    train-mlogloss:0.006998+0.000192    test-mlogloss:1.205190+0.022525 
## [465]    train-mlogloss:0.006977+0.000191    test-mlogloss:1.205394+0.022624 
## [466]    train-mlogloss:0.006958+0.000188    test-mlogloss:1.206442+0.022870 
## [467]    train-mlogloss:0.006940+0.000186    test-mlogloss:1.205898+0.022767 
## [468]    train-mlogloss:0.006917+0.000184    test-mlogloss:1.207644+0.023109 
## [469]    train-mlogloss:0.006899+0.000181    test-mlogloss:1.207760+0.023000 
## [470]    train-mlogloss:0.006882+0.000179    test-mlogloss:1.207560+0.022520 
## [471]    train-mlogloss:0.006860+0.000182    test-mlogloss:1.207792+0.023115 
## [472]    train-mlogloss:0.006838+0.000186    test-mlogloss:1.207822+0.023070 
## [473]    train-mlogloss:0.006824+0.000187    test-mlogloss:1.209321+0.022699 
## [474]    train-mlogloss:0.006808+0.000185    test-mlogloss:1.208688+0.022467 
## [475]    train-mlogloss:0.006786+0.000185    test-mlogloss:1.209172+0.022398 
## [476]    train-mlogloss:0.006768+0.000180    test-mlogloss:1.210130+0.022751 
## [477]    train-mlogloss:0.006749+0.000183    test-mlogloss:1.210710+0.022643 
## [478]    train-mlogloss:0.006730+0.000177    test-mlogloss:1.210884+0.021792 
## [479]    train-mlogloss:0.006712+0.000178    test-mlogloss:1.211917+0.021902 
## [480]    train-mlogloss:0.006691+0.000178    test-mlogloss:1.212526+0.022302 
## [481]    train-mlogloss:0.006673+0.000174    test-mlogloss:1.214101+0.022291 
## [482]    train-mlogloss:0.006657+0.000177    test-mlogloss:1.215156+0.021787 
## [483]    train-mlogloss:0.006642+0.000177    test-mlogloss:1.215518+0.022329 
## [484]    train-mlogloss:0.006625+0.000176    test-mlogloss:1.216316+0.021891 
## [485]    train-mlogloss:0.006606+0.000177    test-mlogloss:1.216532+0.021605 
## [486]    train-mlogloss:0.006585+0.000176    test-mlogloss:1.217212+0.021786 
## [487]    train-mlogloss:0.006569+0.000174    test-mlogloss:1.217442+0.022109 
## [488]    train-mlogloss:0.006551+0.000174    test-mlogloss:1.218385+0.022314 
## [489]    train-mlogloss:0.006536+0.000173    test-mlogloss:1.219235+0.022250 
## [490]    train-mlogloss:0.006518+0.000171    test-mlogloss:1.219491+0.021965 
## [491]    train-mlogloss:0.006502+0.000169    test-mlogloss:1.219912+0.022019 
## [492]    train-mlogloss:0.006484+0.000171    test-mlogloss:1.220361+0.022021 
## [493]    train-mlogloss:0.006466+0.000165    test-mlogloss:1.220578+0.021974 
## [494]    train-mlogloss:0.006450+0.000166    test-mlogloss:1.220867+0.021804 
## [495]    train-mlogloss:0.006430+0.000166    test-mlogloss:1.221404+0.021493 
## [496]    train-mlogloss:0.006414+0.000166    test-mlogloss:1.220727+0.021471 
## [497]    train-mlogloss:0.006394+0.000165    test-mlogloss:1.222277+0.021596 
## [498]    train-mlogloss:0.006377+0.000167    test-mlogloss:1.222825+0.022221 
## [499]    train-mlogloss:0.006360+0.000171    test-mlogloss:1.223128+0.021317 
## [500]    train-mlogloss:0.006340+0.000169    test-mlogloss:1.223650+0.021252 
## [1]  train-mlogloss:0.392501+0.002073    test-mlogloss:0.598376+0.011074 
## [2]  train-mlogloss:0.281553+0.003579    test-mlogloss:0.630543+0.018224 
## [3]  train-mlogloss:0.213349+0.002542    test-mlogloss:0.661820+0.016810 
## [4]  train-mlogloss:0.172176+0.002446    test-mlogloss:0.685216+0.021202 
## [5]  train-mlogloss:0.142572+0.002314    test-mlogloss:0.702182+0.021811 
## [6]  train-mlogloss:0.120479+0.002732    test-mlogloss:0.720630+0.024683 
## [7]  train-mlogloss:0.103466+0.001333    test-mlogloss:0.734354+0.026590 
## [8]  train-mlogloss:0.090073+0.002075    test-mlogloss:0.749481+0.028809 
## [9]  train-mlogloss:0.080230+0.003414    test-mlogloss:0.763527+0.032368 
## [10] train-mlogloss:0.071591+0.002813    test-mlogloss:0.774994+0.035208 
## [11] train-mlogloss:0.064752+0.002142    test-mlogloss:0.785329+0.038078 
## [12] train-mlogloss:0.058911+0.001796    test-mlogloss:0.797175+0.039288 
## [13] train-mlogloss:0.053961+0.001628    test-mlogloss:0.808528+0.038943 
## [14] train-mlogloss:0.049930+0.001527    test-mlogloss:0.819758+0.039121 
## [15] train-mlogloss:0.046208+0.001394    test-mlogloss:0.827980+0.040218 
## [16] train-mlogloss:0.043293+0.001040    test-mlogloss:0.833833+0.041831 
## [17] train-mlogloss:0.040628+0.000891    test-mlogloss:0.839271+0.041158 
## [18] train-mlogloss:0.038184+0.000772    test-mlogloss:0.849477+0.041280 
## [19] train-mlogloss:0.036130+0.000685    test-mlogloss:0.854510+0.042557 
## [20] train-mlogloss:0.034389+0.000701    test-mlogloss:0.861087+0.041612 
## [21] train-mlogloss:0.032669+0.000626    test-mlogloss:0.866906+0.041978 
## [22] train-mlogloss:0.031106+0.000527    test-mlogloss:0.870954+0.043857 
## [23] train-mlogloss:0.029712+0.000510    test-mlogloss:0.876509+0.042635 
## [24] train-mlogloss:0.028519+0.000525    test-mlogloss:0.880578+0.043177 
## [25] train-mlogloss:0.027438+0.000505    test-mlogloss:0.885704+0.045861 
## [26] train-mlogloss:0.026403+0.000467    test-mlogloss:0.891018+0.044631 
## [27] train-mlogloss:0.025469+0.000438    test-mlogloss:0.895049+0.045418 
## [28] train-mlogloss:0.024577+0.000359    test-mlogloss:0.900060+0.046982 
## [29] train-mlogloss:0.023798+0.000351    test-mlogloss:0.903471+0.048033 
## [30] train-mlogloss:0.023034+0.000345    test-mlogloss:0.909009+0.048127 
## [31] train-mlogloss:0.022361+0.000331    test-mlogloss:0.911913+0.048931 
## [32] train-mlogloss:0.021722+0.000320    test-mlogloss:0.917413+0.048931 
## [33] train-mlogloss:0.021105+0.000319    test-mlogloss:0.920500+0.050867 
## [34] train-mlogloss:0.020526+0.000288    test-mlogloss:0.922841+0.052300 
## [35] train-mlogloss:0.019970+0.000243    test-mlogloss:0.926382+0.053180 
## [36] train-mlogloss:0.019480+0.000252    test-mlogloss:0.928757+0.053515 
## [37] train-mlogloss:0.019007+0.000255    test-mlogloss:0.931987+0.053933 
## [38] train-mlogloss:0.018578+0.000224    test-mlogloss:0.935887+0.052977 
## [39] train-mlogloss:0.018157+0.000227    test-mlogloss:0.939583+0.052677 
## [40] train-mlogloss:0.017749+0.000223    test-mlogloss:0.941549+0.053507 
## [41] train-mlogloss:0.017379+0.000214    test-mlogloss:0.944472+0.053285 
## [42] train-mlogloss:0.017012+0.000213    test-mlogloss:0.946349+0.052191 
## [43] train-mlogloss:0.016652+0.000196    test-mlogloss:0.950233+0.053772 
## [44] train-mlogloss:0.016336+0.000187    test-mlogloss:0.952840+0.054142 
## [45] train-mlogloss:0.016025+0.000184    test-mlogloss:0.956077+0.055275 
## [46] train-mlogloss:0.015739+0.000190    test-mlogloss:0.958922+0.054485 
## [47] train-mlogloss:0.015446+0.000187    test-mlogloss:0.960646+0.055659 
## [48] train-mlogloss:0.015182+0.000188    test-mlogloss:0.963731+0.057327 
## [49] train-mlogloss:0.014921+0.000195    test-mlogloss:0.965906+0.057617 
## [50] train-mlogloss:0.014679+0.000192    test-mlogloss:0.968116+0.057619 
## [51] train-mlogloss:0.014440+0.000187    test-mlogloss:0.970618+0.057077 
## [52] train-mlogloss:0.014212+0.000185    test-mlogloss:0.973986+0.057070 
## [53] train-mlogloss:0.013976+0.000182    test-mlogloss:0.975785+0.057478 
## [54] train-mlogloss:0.013778+0.000177    test-mlogloss:0.977351+0.056897 
## [55] train-mlogloss:0.013565+0.000175    test-mlogloss:0.979382+0.056251 
## [56] train-mlogloss:0.013364+0.000164    test-mlogloss:0.982739+0.057499 
## [57] train-mlogloss:0.013166+0.000164    test-mlogloss:0.984125+0.058141 
## [58] train-mlogloss:0.012982+0.000159    test-mlogloss:0.985240+0.059292 
## [59] train-mlogloss:0.012813+0.000160    test-mlogloss:0.988040+0.060179 
## [60] train-mlogloss:0.012624+0.000147    test-mlogloss:0.988476+0.060493 
## [61] train-mlogloss:0.012442+0.000135    test-mlogloss:0.990812+0.060760 
## [62] train-mlogloss:0.012292+0.000139    test-mlogloss:0.993724+0.060970 
## [63] train-mlogloss:0.012140+0.000145    test-mlogloss:0.993637+0.060897 
## [64] train-mlogloss:0.011982+0.000134    test-mlogloss:0.994998+0.058809 
## [65] train-mlogloss:0.011841+0.000129    test-mlogloss:0.998303+0.058287 
## [66] train-mlogloss:0.011700+0.000126    test-mlogloss:1.000545+0.057795 
## [67] train-mlogloss:0.011564+0.000123    test-mlogloss:1.003249+0.058465 
## [68] train-mlogloss:0.011436+0.000120    test-mlogloss:1.004607+0.058868 
## [69] train-mlogloss:0.011306+0.000116    test-mlogloss:1.007001+0.059157 
## [70] train-mlogloss:0.011184+0.000120    test-mlogloss:1.009181+0.059087 
## [71] train-mlogloss:0.011064+0.000117    test-mlogloss:1.009474+0.058361 
## [72] train-mlogloss:0.010949+0.000125    test-mlogloss:1.010886+0.058447 
## [73] train-mlogloss:0.010827+0.000125    test-mlogloss:1.013155+0.059721 
## [74] train-mlogloss:0.010709+0.000124    test-mlogloss:1.015023+0.060016 
## [75] train-mlogloss:0.010599+0.000121    test-mlogloss:1.016404+0.060113 
## [76] train-mlogloss:0.010493+0.000126    test-mlogloss:1.016656+0.060919 
## [77] train-mlogloss:0.010393+0.000124    test-mlogloss:1.019243+0.060854 
## [78] train-mlogloss:0.010290+0.000113    test-mlogloss:1.020478+0.061356 
## [79] train-mlogloss:0.010200+0.000108    test-mlogloss:1.021681+0.061542 
## [80] train-mlogloss:0.010107+0.000101    test-mlogloss:1.022807+0.061252 
## [81] train-mlogloss:0.010020+0.000097    test-mlogloss:1.024594+0.060978 
## [82] train-mlogloss:0.009937+0.000100    test-mlogloss:1.025297+0.062014 
## [83] train-mlogloss:0.009854+0.000098    test-mlogloss:1.027141+0.061435 
## [84] train-mlogloss:0.009767+0.000100    test-mlogloss:1.028229+0.061972 
## [85] train-mlogloss:0.009682+0.000097    test-mlogloss:1.030242+0.061632 
## [86] train-mlogloss:0.009599+0.000105    test-mlogloss:1.031595+0.060801 
## [87] train-mlogloss:0.009516+0.000108    test-mlogloss:1.031586+0.059871 
## [88] train-mlogloss:0.009442+0.000102    test-mlogloss:1.032715+0.060871 
## [89] train-mlogloss:0.009364+0.000099    test-mlogloss:1.033475+0.059879 
## [90] train-mlogloss:0.009288+0.000099    test-mlogloss:1.034074+0.060049 
## [91] train-mlogloss:0.009216+0.000095    test-mlogloss:1.035329+0.060528 
## [92] train-mlogloss:0.009138+0.000093    test-mlogloss:1.037104+0.059869 
## [93] train-mlogloss:0.009066+0.000095    test-mlogloss:1.038626+0.060091 
## [94] train-mlogloss:0.008997+0.000094    test-mlogloss:1.039777+0.059396 
## [95] train-mlogloss:0.008923+0.000096    test-mlogloss:1.040532+0.059253 
## [96] train-mlogloss:0.008861+0.000092    test-mlogloss:1.041430+0.059726 
## [97] train-mlogloss:0.008796+0.000093    test-mlogloss:1.042795+0.060097 
## [98] train-mlogloss:0.008735+0.000095    test-mlogloss:1.042977+0.060033 
## [99] train-mlogloss:0.008677+0.000095    test-mlogloss:1.043951+0.059519 
## [100]    train-mlogloss:0.008614+0.000093    test-mlogloss:1.045121+0.059459 
## [101]    train-mlogloss:0.008554+0.000096    test-mlogloss:1.045734+0.060331 
## [102]    train-mlogloss:0.008499+0.000092    test-mlogloss:1.045934+0.059834 
## [103]    train-mlogloss:0.008438+0.000090    test-mlogloss:1.048234+0.060403 
## [104]    train-mlogloss:0.008376+0.000088    test-mlogloss:1.049070+0.059441 
## [105]    train-mlogloss:0.008323+0.000088    test-mlogloss:1.050523+0.060472 
## [106]    train-mlogloss:0.008264+0.000083    test-mlogloss:1.050202+0.059431 
## [107]    train-mlogloss:0.008206+0.000082    test-mlogloss:1.052203+0.059765 
## [108]    train-mlogloss:0.008151+0.000085    test-mlogloss:1.053175+0.058798 
## [109]    train-mlogloss:0.008095+0.000086    test-mlogloss:1.055366+0.059481 
## [110]    train-mlogloss:0.008045+0.000085    test-mlogloss:1.057338+0.059456 
## [111]    train-mlogloss:0.007996+0.000082    test-mlogloss:1.057954+0.059779 
## [112]    train-mlogloss:0.007948+0.000079    test-mlogloss:1.058836+0.060683 
## [113]    train-mlogloss:0.007900+0.000080    test-mlogloss:1.059199+0.061247 
## [114]    train-mlogloss:0.007852+0.000078    test-mlogloss:1.059913+0.061059 
## [115]    train-mlogloss:0.007807+0.000072    test-mlogloss:1.059955+0.060049 
## [116]    train-mlogloss:0.007760+0.000077    test-mlogloss:1.060167+0.059962 
## [117]    train-mlogloss:0.007715+0.000080    test-mlogloss:1.061295+0.059455 
## [118]    train-mlogloss:0.007670+0.000076    test-mlogloss:1.061373+0.060186 
## [119]    train-mlogloss:0.007625+0.000072    test-mlogloss:1.062365+0.060417 
## [120]    train-mlogloss:0.007581+0.000068    test-mlogloss:1.063203+0.060732 
## [121]    train-mlogloss:0.007536+0.000069    test-mlogloss:1.063437+0.060171 
## [122]    train-mlogloss:0.007491+0.000068    test-mlogloss:1.064642+0.059658 
## [123]    train-mlogloss:0.007448+0.000066    test-mlogloss:1.064418+0.059890 
## [124]    train-mlogloss:0.007403+0.000072    test-mlogloss:1.066593+0.059558 
## [125]    train-mlogloss:0.007363+0.000072    test-mlogloss:1.067066+0.059294 
## [126]    train-mlogloss:0.007323+0.000073    test-mlogloss:1.067596+0.058394 
## [127]    train-mlogloss:0.007284+0.000070    test-mlogloss:1.068794+0.057527 
## [128]    train-mlogloss:0.007244+0.000070    test-mlogloss:1.069172+0.058791 
## [129]    train-mlogloss:0.007207+0.000073    test-mlogloss:1.069826+0.058072 
## [130]    train-mlogloss:0.007171+0.000072    test-mlogloss:1.070784+0.057891 
## [131]    train-mlogloss:0.007133+0.000076    test-mlogloss:1.072622+0.058449 
## [132]    train-mlogloss:0.007098+0.000073    test-mlogloss:1.072764+0.058233 
## [133]    train-mlogloss:0.007063+0.000076    test-mlogloss:1.073505+0.058189 
## [134]    train-mlogloss:0.007028+0.000071    test-mlogloss:1.073961+0.057637 
## [135]    train-mlogloss:0.006996+0.000069    test-mlogloss:1.074999+0.057189 
## [136]    train-mlogloss:0.006960+0.000068    test-mlogloss:1.076288+0.056725 
## [137]    train-mlogloss:0.006927+0.000064    test-mlogloss:1.077125+0.056322 
## [138]    train-mlogloss:0.006895+0.000068    test-mlogloss:1.077201+0.056293 
## [139]    train-mlogloss:0.006862+0.000065    test-mlogloss:1.078023+0.056228 
## [140]    train-mlogloss:0.006830+0.000063    test-mlogloss:1.078295+0.055803 
## [141]    train-mlogloss:0.006797+0.000063    test-mlogloss:1.079431+0.056289 
## [142]    train-mlogloss:0.006764+0.000060    test-mlogloss:1.079559+0.056385 
## [143]    train-mlogloss:0.006730+0.000061    test-mlogloss:1.080255+0.056793 
## [144]    train-mlogloss:0.006699+0.000057    test-mlogloss:1.080280+0.056656 
## [145]    train-mlogloss:0.006667+0.000055    test-mlogloss:1.080987+0.056027 
## [146]    train-mlogloss:0.006637+0.000051    test-mlogloss:1.081431+0.056461 
## [147]    train-mlogloss:0.006606+0.000056    test-mlogloss:1.081677+0.056746 
## [148]    train-mlogloss:0.006576+0.000057    test-mlogloss:1.081957+0.056973 
## [149]    train-mlogloss:0.006546+0.000059    test-mlogloss:1.082223+0.057304 
## [150]    train-mlogloss:0.006516+0.000058    test-mlogloss:1.083371+0.056675 
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## [399]    train-mlogloss:0.003643+0.000018    test-mlogloss:1.177217+0.066644 
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## [405]    train-mlogloss:0.003614+0.000018    test-mlogloss:1.180286+0.066027 
## [406]    train-mlogloss:0.003609+0.000018    test-mlogloss:1.180072+0.066259 
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## [408]    train-mlogloss:0.003600+0.000017    test-mlogloss:1.179846+0.065904 
## [409]    train-mlogloss:0.003595+0.000016    test-mlogloss:1.179879+0.065479 
## [410]    train-mlogloss:0.003591+0.000015    test-mlogloss:1.180646+0.065324 
## [411]    train-mlogloss:0.003586+0.000015    test-mlogloss:1.180577+0.065339 
## [412]    train-mlogloss:0.003581+0.000016    test-mlogloss:1.180720+0.066187 
## [413]    train-mlogloss:0.003577+0.000016    test-mlogloss:1.180827+0.065734 
## [414]    train-mlogloss:0.003573+0.000017    test-mlogloss:1.180627+0.065691 
## [415]    train-mlogloss:0.003568+0.000018    test-mlogloss:1.181110+0.066220 
## [416]    train-mlogloss:0.003563+0.000017    test-mlogloss:1.181536+0.066361 
## [417]    train-mlogloss:0.003559+0.000017    test-mlogloss:1.181407+0.066134 
## [418]    train-mlogloss:0.003556+0.000017    test-mlogloss:1.181982+0.065482 
## [419]    train-mlogloss:0.003551+0.000017    test-mlogloss:1.181899+0.065195 
## [420]    train-mlogloss:0.003547+0.000018    test-mlogloss:1.181932+0.065133 
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## [423]    train-mlogloss:0.003533+0.000017    test-mlogloss:1.181703+0.065218 
## [424]    train-mlogloss:0.003529+0.000018    test-mlogloss:1.182180+0.064957 
## [425]    train-mlogloss:0.003525+0.000018    test-mlogloss:1.182910+0.065640 
## [426]    train-mlogloss:0.003520+0.000017    test-mlogloss:1.183049+0.065166 
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## [428]    train-mlogloss:0.003511+0.000016    test-mlogloss:1.183717+0.065401 
## [429]    train-mlogloss:0.003507+0.000015    test-mlogloss:1.183923+0.065844 
## [430]    train-mlogloss:0.003501+0.000016    test-mlogloss:1.183548+0.066323 
## [431]    train-mlogloss:0.003497+0.000017    test-mlogloss:1.183620+0.065928 
## [432]    train-mlogloss:0.003493+0.000017    test-mlogloss:1.183609+0.066063 
## [433]    train-mlogloss:0.003488+0.000017    test-mlogloss:1.183792+0.066257 
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## [435]    train-mlogloss:0.003480+0.000018    test-mlogloss:1.184587+0.066644 
## [436]    train-mlogloss:0.003476+0.000017    test-mlogloss:1.184524+0.067139 
## [437]    train-mlogloss:0.003472+0.000018    test-mlogloss:1.184577+0.067221 
## [438]    train-mlogloss:0.003467+0.000018    test-mlogloss:1.185304+0.067671 
## [439]    train-mlogloss:0.003462+0.000019    test-mlogloss:1.185240+0.067207 
## [440]    train-mlogloss:0.003459+0.000019    test-mlogloss:1.184870+0.067161 
## [441]    train-mlogloss:0.003455+0.000019    test-mlogloss:1.185317+0.067951 
## [442]    train-mlogloss:0.003451+0.000018    test-mlogloss:1.185736+0.067301 
## [443]    train-mlogloss:0.003447+0.000020    test-mlogloss:1.185989+0.067860 
## [444]    train-mlogloss:0.003442+0.000019    test-mlogloss:1.185972+0.067372 
## [445]    train-mlogloss:0.003438+0.000019    test-mlogloss:1.186341+0.067130 
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## [447]    train-mlogloss:0.003430+0.000020    test-mlogloss:1.187228+0.067625 
## [448]    train-mlogloss:0.003427+0.000020    test-mlogloss:1.187434+0.068276 
## [449]    train-mlogloss:0.003423+0.000020    test-mlogloss:1.187631+0.067427 
## [450]    train-mlogloss:0.003419+0.000019    test-mlogloss:1.187209+0.067537 
## [451]    train-mlogloss:0.003415+0.000019    test-mlogloss:1.188005+0.067556 
## [452]    train-mlogloss:0.003410+0.000019    test-mlogloss:1.188438+0.067392 
## [453]    train-mlogloss:0.003406+0.000019    test-mlogloss:1.188684+0.067972 
## [454]    train-mlogloss:0.003402+0.000019    test-mlogloss:1.188237+0.067725 
## [455]    train-mlogloss:0.003398+0.000019    test-mlogloss:1.188568+0.067799 
## [456]    train-mlogloss:0.003395+0.000020    test-mlogloss:1.189135+0.067252 
## [457]    train-mlogloss:0.003391+0.000019    test-mlogloss:1.189624+0.067410 
## [458]    train-mlogloss:0.003387+0.000019    test-mlogloss:1.189909+0.067168 
## [459]    train-mlogloss:0.003383+0.000019    test-mlogloss:1.190381+0.066655 
## [460]    train-mlogloss:0.003379+0.000018    test-mlogloss:1.190750+0.066762 
## [461]    train-mlogloss:0.003374+0.000018    test-mlogloss:1.190687+0.066625 
## [462]    train-mlogloss:0.003371+0.000018    test-mlogloss:1.190832+0.066665 
## [463]    train-mlogloss:0.003367+0.000017    test-mlogloss:1.191283+0.067482 
## [464]    train-mlogloss:0.003363+0.000017    test-mlogloss:1.190951+0.067713 
## [465]    train-mlogloss:0.003360+0.000016    test-mlogloss:1.191484+0.067658 
## [466]    train-mlogloss:0.003356+0.000016    test-mlogloss:1.191107+0.067635 
## [467]    train-mlogloss:0.003352+0.000016    test-mlogloss:1.190968+0.067023 
## [468]    train-mlogloss:0.003348+0.000015    test-mlogloss:1.190714+0.067788 
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## [470]    train-mlogloss:0.003342+0.000014    test-mlogloss:1.191418+0.068330 
## [471]    train-mlogloss:0.003338+0.000015    test-mlogloss:1.191810+0.068448 
## [472]    train-mlogloss:0.003335+0.000015    test-mlogloss:1.191765+0.068913 
## [473]    train-mlogloss:0.003331+0.000014    test-mlogloss:1.192058+0.068661 
## [474]    train-mlogloss:0.003327+0.000014    test-mlogloss:1.192090+0.068222 
## [475]    train-mlogloss:0.003323+0.000014    test-mlogloss:1.193509+0.068287 
## [476]    train-mlogloss:0.003320+0.000014    test-mlogloss:1.193649+0.068209 
## [477]    train-mlogloss:0.003316+0.000014    test-mlogloss:1.194067+0.068365 
## [478]    train-mlogloss:0.003312+0.000014    test-mlogloss:1.194560+0.068632 
## [479]    train-mlogloss:0.003308+0.000014    test-mlogloss:1.194535+0.068615 
## [480]    train-mlogloss:0.003305+0.000014    test-mlogloss:1.195494+0.068797 
## [481]    train-mlogloss:0.003301+0.000014    test-mlogloss:1.195193+0.068458 
## [482]    train-mlogloss:0.003298+0.000014    test-mlogloss:1.195615+0.068192 
## [483]    train-mlogloss:0.003294+0.000015    test-mlogloss:1.195300+0.068566 
## [484]    train-mlogloss:0.003291+0.000015    test-mlogloss:1.195781+0.067955 
## [485]    train-mlogloss:0.003287+0.000015    test-mlogloss:1.195836+0.068478 
## [486]    train-mlogloss:0.003284+0.000014    test-mlogloss:1.196655+0.068776 
## [487]    train-mlogloss:0.003281+0.000014    test-mlogloss:1.197128+0.068650 
## [488]    train-mlogloss:0.003277+0.000014    test-mlogloss:1.197147+0.069409 
## [489]    train-mlogloss:0.003273+0.000015    test-mlogloss:1.197468+0.069797 
## [490]    train-mlogloss:0.003270+0.000016    test-mlogloss:1.196641+0.069304 
## [491]    train-mlogloss:0.003266+0.000015    test-mlogloss:1.197443+0.069541 
## [492]    train-mlogloss:0.003263+0.000016    test-mlogloss:1.197457+0.069430 
## [493]    train-mlogloss:0.003259+0.000016    test-mlogloss:1.197241+0.069588 
## [494]    train-mlogloss:0.003255+0.000016    test-mlogloss:1.197857+0.069482 
## [495]    train-mlogloss:0.003252+0.000016    test-mlogloss:1.198082+0.069031 
## [496]    train-mlogloss:0.003248+0.000017    test-mlogloss:1.198072+0.069541 
## [497]    train-mlogloss:0.003245+0.000017    test-mlogloss:1.198098+0.069069 
## [498]    train-mlogloss:0.003241+0.000017    test-mlogloss:1.198782+0.069680 
## [499]    train-mlogloss:0.003238+0.000017    test-mlogloss:1.198681+0.069040 
## [500]    train-mlogloss:0.003235+0.000017    test-mlogloss:1.199036+0.069067 
## [1]  train-mlogloss:0.614201+0.000663    test-mlogloss:0.621343+0.001245 
## [2]  train-mlogloss:0.570129+0.001009    test-mlogloss:0.584333+0.002231 
## [3]  train-mlogloss:0.542802+0.001336    test-mlogloss:0.563837+0.003326 
## [4]  train-mlogloss:0.524750+0.001180    test-mlogloss:0.551880+0.004508 
## [5]  train-mlogloss:0.512177+0.001124    test-mlogloss:0.545175+0.004973 
## [6]  train-mlogloss:0.502960+0.001152    test-mlogloss:0.542209+0.005878 
## [7]  train-mlogloss:0.495862+0.001012    test-mlogloss:0.540265+0.006057 
## [8]  train-mlogloss:0.490469+0.000949    test-mlogloss:0.539492+0.006954 
## [9]  train-mlogloss:0.485204+0.000931    test-mlogloss:0.538949+0.007300 
## [10] train-mlogloss:0.481317+0.001747    test-mlogloss:0.539476+0.007437 
## [11] train-mlogloss:0.477181+0.002137    test-mlogloss:0.539721+0.007852 
## [12] train-mlogloss:0.473935+0.002139    test-mlogloss:0.539959+0.008506 
## [13] train-mlogloss:0.471510+0.002243    test-mlogloss:0.540576+0.008479 
## [14] train-mlogloss:0.470250+0.002228    test-mlogloss:0.540736+0.008781 
## [15] train-mlogloss:0.467301+0.003238    test-mlogloss:0.540876+0.008851 
## [16] train-mlogloss:0.464018+0.004308    test-mlogloss:0.541283+0.008987 
## [17] train-mlogloss:0.463166+0.004554    test-mlogloss:0.541412+0.009006 
## [18] train-mlogloss:0.461807+0.004881    test-mlogloss:0.541747+0.009267 
## [19] train-mlogloss:0.459608+0.004844    test-mlogloss:0.542151+0.009795 
## [20] train-mlogloss:0.457433+0.004535    test-mlogloss:0.542297+0.009818 
## [21] train-mlogloss:0.454350+0.004163    test-mlogloss:0.542730+0.009741 
## [22] train-mlogloss:0.453373+0.003992    test-mlogloss:0.543378+0.010001 
## [23] train-mlogloss:0.451909+0.004029    test-mlogloss:0.543181+0.009808 
## [24] train-mlogloss:0.448927+0.004128    test-mlogloss:0.543702+0.009622 
## [25] train-mlogloss:0.445342+0.003844    test-mlogloss:0.543890+0.009220 
## [26] train-mlogloss:0.442713+0.003812    test-mlogloss:0.544535+0.009016 
## [27] train-mlogloss:0.440279+0.003206    test-mlogloss:0.545131+0.009058 
## [28] train-mlogloss:0.438266+0.002986    test-mlogloss:0.545866+0.009476 
## [29] train-mlogloss:0.436150+0.002686    test-mlogloss:0.545871+0.009748 
## [30] train-mlogloss:0.433706+0.003397    test-mlogloss:0.547107+0.010265 
## [31] train-mlogloss:0.431420+0.004127    test-mlogloss:0.547370+0.010598 
## [32] train-mlogloss:0.429468+0.004885    test-mlogloss:0.548073+0.011070 
## [33] train-mlogloss:0.426426+0.004877    test-mlogloss:0.549260+0.011113 
## [34] train-mlogloss:0.424532+0.005178    test-mlogloss:0.549972+0.010895 
## [35] train-mlogloss:0.423361+0.005469    test-mlogloss:0.549987+0.010846 
## [36] train-mlogloss:0.422061+0.005379    test-mlogloss:0.550508+0.010539 
## [37] train-mlogloss:0.419864+0.004576    test-mlogloss:0.551562+0.010740 
## [38] train-mlogloss:0.416733+0.005112    test-mlogloss:0.552500+0.011460 
## [39] train-mlogloss:0.413808+0.006020    test-mlogloss:0.552955+0.011645 
## [40] train-mlogloss:0.412675+0.006317    test-mlogloss:0.553627+0.012201 
## [41] train-mlogloss:0.411141+0.006250    test-mlogloss:0.553888+0.012455 
## [42] train-mlogloss:0.409599+0.006053    test-mlogloss:0.554327+0.012452 
## [43] train-mlogloss:0.408074+0.006577    test-mlogloss:0.554472+0.012677 
## [44] train-mlogloss:0.404511+0.006990    test-mlogloss:0.555172+0.012506 
## [45] train-mlogloss:0.402380+0.007478    test-mlogloss:0.555638+0.012905 
## [46] train-mlogloss:0.400465+0.007242    test-mlogloss:0.555734+0.013017 
## [47] train-mlogloss:0.399353+0.007611    test-mlogloss:0.555928+0.012912 
## [48] train-mlogloss:0.397740+0.007474    test-mlogloss:0.555881+0.013321 
## [49] train-mlogloss:0.396578+0.007136    test-mlogloss:0.556738+0.013269 
## [50] train-mlogloss:0.394069+0.007096    test-mlogloss:0.557734+0.013557 
## [51] train-mlogloss:0.391925+0.007122    test-mlogloss:0.558365+0.013027 
## [52] train-mlogloss:0.390764+0.007220    test-mlogloss:0.558747+0.013192 
## [53] train-mlogloss:0.389286+0.006420    test-mlogloss:0.559060+0.012914 
## [54] train-mlogloss:0.388074+0.005360    test-mlogloss:0.559385+0.012674 
## [55] train-mlogloss:0.386576+0.006204    test-mlogloss:0.560011+0.013385 
## [56] train-mlogloss:0.384355+0.007458    test-mlogloss:0.560293+0.013551 
## [57] train-mlogloss:0.382975+0.007026    test-mlogloss:0.560891+0.013585 
## [58] train-mlogloss:0.380798+0.007541    test-mlogloss:0.561388+0.013759 
## [59] train-mlogloss:0.378979+0.007347    test-mlogloss:0.561923+0.013877 
## [60] train-mlogloss:0.377319+0.007409    test-mlogloss:0.562149+0.014447 
## [61] train-mlogloss:0.375021+0.007692    test-mlogloss:0.562580+0.015058 
## [62] train-mlogloss:0.372354+0.007798    test-mlogloss:0.563873+0.015757 
## [63] train-mlogloss:0.369237+0.008818    test-mlogloss:0.564249+0.015542 
## [64] train-mlogloss:0.366570+0.009598    test-mlogloss:0.565251+0.015718 
## [65] train-mlogloss:0.364159+0.009269    test-mlogloss:0.566449+0.016188 
## [66] train-mlogloss:0.362468+0.009586    test-mlogloss:0.566826+0.016224 
## [67] train-mlogloss:0.361300+0.009233    test-mlogloss:0.567407+0.016178 
## [68] train-mlogloss:0.358639+0.009348    test-mlogloss:0.567652+0.016029 
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## [70] train-mlogloss:0.355466+0.008784    test-mlogloss:0.568789+0.015829 
## [71] train-mlogloss:0.353958+0.008346    test-mlogloss:0.569489+0.016059 
## [72] train-mlogloss:0.352612+0.008092    test-mlogloss:0.569661+0.016216 
## [73] train-mlogloss:0.350736+0.008474    test-mlogloss:0.570121+0.016612 
## [74] train-mlogloss:0.349219+0.008505    test-mlogloss:0.570503+0.016667 
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## [76] train-mlogloss:0.346338+0.008148    test-mlogloss:0.571016+0.016774 
## [77] train-mlogloss:0.344646+0.007590    test-mlogloss:0.570985+0.016621 
## [78] train-mlogloss:0.343300+0.007370    test-mlogloss:0.571716+0.016287 
## [79] train-mlogloss:0.341232+0.007256    test-mlogloss:0.571701+0.016521 
## [80] train-mlogloss:0.339562+0.006942    test-mlogloss:0.572586+0.016392 
## [81] train-mlogloss:0.337169+0.007032    test-mlogloss:0.572923+0.016728 
## [82] train-mlogloss:0.335680+0.007093    test-mlogloss:0.573172+0.016649 
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## [473]    train-mlogloss:0.072098+0.001810    test-mlogloss:0.751787+0.028613 
## [474]    train-mlogloss:0.071937+0.001722    test-mlogloss:0.752007+0.028663 
## [475]    train-mlogloss:0.071702+0.001858    test-mlogloss:0.752639+0.028587 
## [476]    train-mlogloss:0.071429+0.001831    test-mlogloss:0.752597+0.028697 
## [477]    train-mlogloss:0.071240+0.001726    test-mlogloss:0.753053+0.028608 
## [478]    train-mlogloss:0.071082+0.001766    test-mlogloss:0.753290+0.028728 
## [479]    train-mlogloss:0.070983+0.001787    test-mlogloss:0.753663+0.028905 
## [480]    train-mlogloss:0.070784+0.001816    test-mlogloss:0.753977+0.028782 
## [481]    train-mlogloss:0.070660+0.001800    test-mlogloss:0.754417+0.028770 
## [482]    train-mlogloss:0.070372+0.001667    test-mlogloss:0.755017+0.028669 
## [483]    train-mlogloss:0.070149+0.001685    test-mlogloss:0.755807+0.028833 
## [484]    train-mlogloss:0.069902+0.001681    test-mlogloss:0.756495+0.029381 
## [485]    train-mlogloss:0.069592+0.001644    test-mlogloss:0.756790+0.029981 
## [486]    train-mlogloss:0.069401+0.001605    test-mlogloss:0.757256+0.030376 
## [487]    train-mlogloss:0.069089+0.001583    test-mlogloss:0.757903+0.030118 
## [488]    train-mlogloss:0.068770+0.001644    test-mlogloss:0.758196+0.030109 
## [489]    train-mlogloss:0.068453+0.001655    test-mlogloss:0.758284+0.029997 
## [490]    train-mlogloss:0.068156+0.001529    test-mlogloss:0.758732+0.029902 
## [491]    train-mlogloss:0.067969+0.001548    test-mlogloss:0.759087+0.029985 
## [492]    train-mlogloss:0.067762+0.001544    test-mlogloss:0.759600+0.029839 
## [493]    train-mlogloss:0.067480+0.001476    test-mlogloss:0.759988+0.029719 
## [494]    train-mlogloss:0.067254+0.001401    test-mlogloss:0.760258+0.029856 
## [495]    train-mlogloss:0.067014+0.001425    test-mlogloss:0.760732+0.029707 
## [496]    train-mlogloss:0.066803+0.001263    test-mlogloss:0.761109+0.029614 
## [497]    train-mlogloss:0.066555+0.001280    test-mlogloss:0.761689+0.030023 
## [498]    train-mlogloss:0.066402+0.001238    test-mlogloss:0.761653+0.030105 
## [499]    train-mlogloss:0.066269+0.001212    test-mlogloss:0.761878+0.030142 
## [500]    train-mlogloss:0.066120+0.001274    test-mlogloss:0.762478+0.029876 
## [1]  train-mlogloss:0.549878+0.000938    test-mlogloss:0.634424+0.003387 
## [2]  train-mlogloss:0.457353+0.001377    test-mlogloss:0.605360+0.010436 
## [3]  train-mlogloss:0.387624+0.002225    test-mlogloss:0.590483+0.013083 
## [4]  train-mlogloss:0.333869+0.001867    test-mlogloss:0.583089+0.013960 
## [5]  train-mlogloss:0.291854+0.001406    test-mlogloss:0.582493+0.015058 
## [6]  train-mlogloss:0.258276+0.001627    test-mlogloss:0.584419+0.016832 
## [7]  train-mlogloss:0.229902+0.001450    test-mlogloss:0.589498+0.015572 
## [8]  train-mlogloss:0.206256+0.001442    test-mlogloss:0.594930+0.016326 
## [9]  train-mlogloss:0.186749+0.001254    test-mlogloss:0.598024+0.016603 
## [10] train-mlogloss:0.170233+0.001203    test-mlogloss:0.603415+0.016322 
## [11] train-mlogloss:0.156893+0.001560    test-mlogloss:0.608367+0.016627 
## [12] train-mlogloss:0.146058+0.001763    test-mlogloss:0.612823+0.017156 
## [13] train-mlogloss:0.136958+0.001533    test-mlogloss:0.616841+0.017600 
## [14] train-mlogloss:0.128824+0.002275    test-mlogloss:0.621363+0.016669 
## [15] train-mlogloss:0.122950+0.002542    test-mlogloss:0.624392+0.017755 
## [16] train-mlogloss:0.116703+0.002316    test-mlogloss:0.626109+0.017488 
## [17] train-mlogloss:0.110528+0.002329    test-mlogloss:0.629644+0.017749 
## [18] train-mlogloss:0.105089+0.002088    test-mlogloss:0.633365+0.017421 
## [19] train-mlogloss:0.100351+0.002116    test-mlogloss:0.636859+0.017564 
## [20] train-mlogloss:0.096048+0.002844    test-mlogloss:0.639559+0.019066 
## [21] train-mlogloss:0.092322+0.003499    test-mlogloss:0.643217+0.019953 
## [22] train-mlogloss:0.088735+0.003026    test-mlogloss:0.646480+0.020758 
## [23] train-mlogloss:0.085386+0.002754    test-mlogloss:0.650134+0.020931 
## [24] train-mlogloss:0.082263+0.001562    test-mlogloss:0.652502+0.019979 
## [25] train-mlogloss:0.080419+0.000848    test-mlogloss:0.654852+0.019463 
## [26] train-mlogloss:0.078331+0.001314    test-mlogloss:0.657131+0.020184 
## [27] train-mlogloss:0.075648+0.001479    test-mlogloss:0.659202+0.020998 
## [28] train-mlogloss:0.073451+0.001737    test-mlogloss:0.662811+0.021612 
## [29] train-mlogloss:0.070998+0.001751    test-mlogloss:0.665017+0.022763 
## [30] train-mlogloss:0.068861+0.002384    test-mlogloss:0.667369+0.023371 
## [31] train-mlogloss:0.067118+0.002945    test-mlogloss:0.669742+0.024143 
## [32] train-mlogloss:0.065614+0.002632    test-mlogloss:0.671612+0.024610 
## [33] train-mlogloss:0.063906+0.002385    test-mlogloss:0.673896+0.025233 
## [34] train-mlogloss:0.061878+0.002444    test-mlogloss:0.675914+0.025282 
## [35] train-mlogloss:0.060382+0.002440    test-mlogloss:0.677481+0.025075 
## [36] train-mlogloss:0.058796+0.002680    test-mlogloss:0.679617+0.025905 
## [37] train-mlogloss:0.057263+0.002768    test-mlogloss:0.682109+0.025659 
## [38] train-mlogloss:0.055967+0.002689    test-mlogloss:0.684735+0.025162 
## [39] train-mlogloss:0.054452+0.002757    test-mlogloss:0.686609+0.025447 
## [40] train-mlogloss:0.053414+0.002935    test-mlogloss:0.689594+0.027139 
## [41] train-mlogloss:0.052493+0.003046    test-mlogloss:0.692637+0.026894 
## [42] train-mlogloss:0.050877+0.002860    test-mlogloss:0.695312+0.027596 
## [43] train-mlogloss:0.049886+0.003068    test-mlogloss:0.698297+0.028194 
## [44] train-mlogloss:0.048905+0.003077    test-mlogloss:0.700086+0.029878 
## [45] train-mlogloss:0.048283+0.003253    test-mlogloss:0.701583+0.030174 
## [46] train-mlogloss:0.047051+0.003230    test-mlogloss:0.703900+0.030455 
## [47] train-mlogloss:0.046172+0.003059    test-mlogloss:0.705365+0.030821 
## [48] train-mlogloss:0.045287+0.003049    test-mlogloss:0.707338+0.030364 
## [49] train-mlogloss:0.044317+0.002692    test-mlogloss:0.709362+0.029409 
## [50] train-mlogloss:0.043468+0.002679    test-mlogloss:0.711360+0.029666 
## [51] train-mlogloss:0.042890+0.002882    test-mlogloss:0.713479+0.030442 
## [52] train-mlogloss:0.042157+0.002814    test-mlogloss:0.715720+0.030141 
## [53] train-mlogloss:0.041393+0.002870    test-mlogloss:0.717400+0.030293 
## [54] train-mlogloss:0.040565+0.002563    test-mlogloss:0.719780+0.029804 
## [55] train-mlogloss:0.039818+0.002474    test-mlogloss:0.721821+0.030466 
## [56] train-mlogloss:0.039064+0.002358    test-mlogloss:0.723658+0.030971 
## [57] train-mlogloss:0.038394+0.002275    test-mlogloss:0.725368+0.031028 
## [58] train-mlogloss:0.037715+0.002274    test-mlogloss:0.727316+0.030970 
## [59] train-mlogloss:0.037091+0.002202    test-mlogloss:0.729798+0.031716 
## [60] train-mlogloss:0.036274+0.002048    test-mlogloss:0.731353+0.031521 
## [61] train-mlogloss:0.035694+0.002141    test-mlogloss:0.732763+0.032303 
## [62] train-mlogloss:0.035184+0.001955    test-mlogloss:0.734162+0.032444 
## [63] train-mlogloss:0.034509+0.001836    test-mlogloss:0.735839+0.032056 
## [64] train-mlogloss:0.034070+0.001927    test-mlogloss:0.737397+0.031973 
## [65] train-mlogloss:0.033540+0.001862    test-mlogloss:0.739332+0.032211 
## [66] train-mlogloss:0.033112+0.001865    test-mlogloss:0.740663+0.032180 
## [67] train-mlogloss:0.032535+0.001801    test-mlogloss:0.742485+0.032795 
## [68] train-mlogloss:0.031981+0.001703    test-mlogloss:0.744408+0.032525 
## [69] train-mlogloss:0.031474+0.001608    test-mlogloss:0.746026+0.032350 
## [70] train-mlogloss:0.031013+0.001588    test-mlogloss:0.747738+0.032621 
## [71] train-mlogloss:0.030537+0.001576    test-mlogloss:0.749553+0.032518 
## [72] train-mlogloss:0.030116+0.001621    test-mlogloss:0.751418+0.032474 
## [73] train-mlogloss:0.029735+0.001567    test-mlogloss:0.752898+0.033310 
## [74] train-mlogloss:0.029384+0.001552    test-mlogloss:0.754382+0.033320 
## [75] train-mlogloss:0.028988+0.001453    test-mlogloss:0.755616+0.033520 
## [76] train-mlogloss:0.028545+0.001342    test-mlogloss:0.757102+0.033525 
## [77] train-mlogloss:0.028252+0.001342    test-mlogloss:0.758277+0.033891 
## [78] train-mlogloss:0.027866+0.001244    test-mlogloss:0.759428+0.034158 
## [79] train-mlogloss:0.027500+0.001199    test-mlogloss:0.760342+0.033807 
## [80] train-mlogloss:0.027084+0.001155    test-mlogloss:0.762641+0.033690 
## [81] train-mlogloss:0.026813+0.001156    test-mlogloss:0.763678+0.033588 
## [82] train-mlogloss:0.026465+0.001138    test-mlogloss:0.765504+0.033123 
## [83] train-mlogloss:0.026209+0.001103    test-mlogloss:0.766839+0.033319 
## [84] train-mlogloss:0.025960+0.001108    test-mlogloss:0.768138+0.033781 
## [85] train-mlogloss:0.025664+0.001132    test-mlogloss:0.769499+0.033634 
## [86] train-mlogloss:0.025447+0.001202    test-mlogloss:0.770290+0.033831 
## [87] train-mlogloss:0.025113+0.001162    test-mlogloss:0.771720+0.033614 
## [88] train-mlogloss:0.024850+0.001108    test-mlogloss:0.773023+0.033626 
## [89] train-mlogloss:0.024538+0.001036    test-mlogloss:0.774303+0.033816 
## [90] train-mlogloss:0.024239+0.001006    test-mlogloss:0.775829+0.033410 
## [91] train-mlogloss:0.023943+0.001025    test-mlogloss:0.777466+0.033433 
## [92] train-mlogloss:0.023675+0.000987    test-mlogloss:0.779230+0.033118 
## [93] train-mlogloss:0.023441+0.000952    test-mlogloss:0.780442+0.032970 
## [94] train-mlogloss:0.023152+0.000927    test-mlogloss:0.781969+0.033365 
## [95] train-mlogloss:0.022888+0.000885    test-mlogloss:0.783883+0.033401 
## [96] train-mlogloss:0.022668+0.000893    test-mlogloss:0.785024+0.034013 
## [97] train-mlogloss:0.022424+0.000885    test-mlogloss:0.785819+0.033909 
## [98] train-mlogloss:0.022183+0.000871    test-mlogloss:0.787209+0.034082 
## [99] train-mlogloss:0.021991+0.000856    test-mlogloss:0.788564+0.033688 
## [100]    train-mlogloss:0.021794+0.000811    test-mlogloss:0.789621+0.033311 
## [101]    train-mlogloss:0.021575+0.000834    test-mlogloss:0.791010+0.033750 
## [102]    train-mlogloss:0.021362+0.000864    test-mlogloss:0.791808+0.034174 
## [103]    train-mlogloss:0.021163+0.000882    test-mlogloss:0.793187+0.034137 
## [104]    train-mlogloss:0.020975+0.000860    test-mlogloss:0.794647+0.034102 
## [105]    train-mlogloss:0.020769+0.000821    test-mlogloss:0.796011+0.033981 
## [106]    train-mlogloss:0.020577+0.000798    test-mlogloss:0.797374+0.034730 
## [107]    train-mlogloss:0.020356+0.000779    test-mlogloss:0.798901+0.034753 
## [108]    train-mlogloss:0.020173+0.000782    test-mlogloss:0.800323+0.034578 
## [109]    train-mlogloss:0.019984+0.000771    test-mlogloss:0.801152+0.034741 
## [110]    train-mlogloss:0.019800+0.000779    test-mlogloss:0.802647+0.034964 
## [111]    train-mlogloss:0.019616+0.000732    test-mlogloss:0.804033+0.035044 
## [112]    train-mlogloss:0.019421+0.000719    test-mlogloss:0.805090+0.034841 
## [113]    train-mlogloss:0.019247+0.000713    test-mlogloss:0.806004+0.035357 
## [114]    train-mlogloss:0.019068+0.000703    test-mlogloss:0.807052+0.035587 
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## [391]    train-mlogloss:0.006664+0.000079    test-mlogloss:0.952307+0.040022 
## [392]    train-mlogloss:0.006651+0.000079    test-mlogloss:0.952604+0.040076 
## [393]    train-mlogloss:0.006638+0.000079    test-mlogloss:0.952829+0.040215 
## [394]    train-mlogloss:0.006627+0.000079    test-mlogloss:0.952864+0.040128 
## [395]    train-mlogloss:0.006616+0.000079    test-mlogloss:0.953233+0.039943 
## [396]    train-mlogloss:0.006604+0.000078    test-mlogloss:0.953756+0.040049 
## [397]    train-mlogloss:0.006592+0.000078    test-mlogloss:0.954231+0.040104 
## [398]    train-mlogloss:0.006581+0.000078    test-mlogloss:0.954379+0.039925 
## [399]    train-mlogloss:0.006571+0.000077    test-mlogloss:0.954727+0.040006 
## [400]    train-mlogloss:0.006559+0.000077    test-mlogloss:0.954935+0.040188 
## [401]    train-mlogloss:0.006547+0.000075    test-mlogloss:0.955108+0.040092 
## [402]    train-mlogloss:0.006536+0.000076    test-mlogloss:0.955340+0.040179 
## [403]    train-mlogloss:0.006524+0.000076    test-mlogloss:0.955574+0.039919 
## [404]    train-mlogloss:0.006513+0.000075    test-mlogloss:0.955950+0.040060 
## [405]    train-mlogloss:0.006502+0.000075    test-mlogloss:0.956400+0.040235 
## [406]    train-mlogloss:0.006491+0.000075    test-mlogloss:0.956465+0.040277 
## [407]    train-mlogloss:0.006481+0.000074    test-mlogloss:0.956777+0.040359 
## [408]    train-mlogloss:0.006471+0.000074    test-mlogloss:0.956700+0.040294 
## [409]    train-mlogloss:0.006459+0.000075    test-mlogloss:0.956821+0.040441 
## [410]    train-mlogloss:0.006448+0.000076    test-mlogloss:0.957211+0.040311 
## [411]    train-mlogloss:0.006437+0.000075    test-mlogloss:0.957320+0.040190 
## [412]    train-mlogloss:0.006427+0.000076    test-mlogloss:0.957654+0.040153 
## [413]    train-mlogloss:0.006417+0.000075    test-mlogloss:0.957849+0.040311 
## [414]    train-mlogloss:0.006406+0.000076    test-mlogloss:0.958256+0.040286 
## [415]    train-mlogloss:0.006394+0.000074    test-mlogloss:0.958563+0.040748 
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## [417]    train-mlogloss:0.006373+0.000076    test-mlogloss:0.959218+0.041157 
## [418]    train-mlogloss:0.006363+0.000076    test-mlogloss:0.959319+0.041449 
## [419]    train-mlogloss:0.006354+0.000076    test-mlogloss:0.959664+0.041304 
## [420]    train-mlogloss:0.006344+0.000075    test-mlogloss:0.960174+0.041280 
## [421]    train-mlogloss:0.006333+0.000076    test-mlogloss:0.960125+0.041355 
## [422]    train-mlogloss:0.006324+0.000076    test-mlogloss:0.960477+0.041635 
## [423]    train-mlogloss:0.006313+0.000075    test-mlogloss:0.960651+0.041556 
## [424]    train-mlogloss:0.006302+0.000074    test-mlogloss:0.960955+0.041429 
## [425]    train-mlogloss:0.006291+0.000073    test-mlogloss:0.961357+0.041286 
## [426]    train-mlogloss:0.006282+0.000073    test-mlogloss:0.961563+0.041236 
## [427]    train-mlogloss:0.006271+0.000073    test-mlogloss:0.961875+0.041350 
## [428]    train-mlogloss:0.006261+0.000072    test-mlogloss:0.962150+0.041232 
## [429]    train-mlogloss:0.006250+0.000071    test-mlogloss:0.962541+0.041143 
## [430]    train-mlogloss:0.006241+0.000072    test-mlogloss:0.962559+0.041038 
## [431]    train-mlogloss:0.006230+0.000071    test-mlogloss:0.962742+0.041386 
## [432]    train-mlogloss:0.006222+0.000071    test-mlogloss:0.962997+0.041475 
## [433]    train-mlogloss:0.006212+0.000072    test-mlogloss:0.963258+0.041377 
## [434]    train-mlogloss:0.006204+0.000071    test-mlogloss:0.963716+0.041459 
## [435]    train-mlogloss:0.006194+0.000072    test-mlogloss:0.964105+0.041496 
## [436]    train-mlogloss:0.006185+0.000072    test-mlogloss:0.964380+0.041565 
## [437]    train-mlogloss:0.006176+0.000072    test-mlogloss:0.964476+0.041580 
## [438]    train-mlogloss:0.006167+0.000071    test-mlogloss:0.964668+0.041645 
## [439]    train-mlogloss:0.006157+0.000072    test-mlogloss:0.964799+0.041638 
## [440]    train-mlogloss:0.006148+0.000072    test-mlogloss:0.964853+0.041645 
## [441]    train-mlogloss:0.006138+0.000072    test-mlogloss:0.965274+0.041530 
## [442]    train-mlogloss:0.006128+0.000070    test-mlogloss:0.965495+0.041521 
## [443]    train-mlogloss:0.006119+0.000070    test-mlogloss:0.965794+0.041398 
## [444]    train-mlogloss:0.006109+0.000069    test-mlogloss:0.966364+0.041401 
## [445]    train-mlogloss:0.006100+0.000069    test-mlogloss:0.966619+0.041561 
## [446]    train-mlogloss:0.006091+0.000069    test-mlogloss:0.966894+0.041552 
## [447]    train-mlogloss:0.006081+0.000069    test-mlogloss:0.967105+0.041357 
## [448]    train-mlogloss:0.006072+0.000069    test-mlogloss:0.967276+0.041550 
## [449]    train-mlogloss:0.006064+0.000069    test-mlogloss:0.967331+0.041745 
## [450]    train-mlogloss:0.006055+0.000070    test-mlogloss:0.967574+0.041639 
## [451]    train-mlogloss:0.006045+0.000071    test-mlogloss:0.967854+0.041757 
## [452]    train-mlogloss:0.006035+0.000070    test-mlogloss:0.967969+0.041737 
## [453]    train-mlogloss:0.006026+0.000070    test-mlogloss:0.968451+0.041615 
## [454]    train-mlogloss:0.006016+0.000071    test-mlogloss:0.968621+0.041398 
## [455]    train-mlogloss:0.006006+0.000071    test-mlogloss:0.969074+0.041636 
## [456]    train-mlogloss:0.005997+0.000069    test-mlogloss:0.969255+0.041547 
## [457]    train-mlogloss:0.005987+0.000069    test-mlogloss:0.969587+0.041749 
## [458]    train-mlogloss:0.005978+0.000069    test-mlogloss:0.969963+0.041609 
## [459]    train-mlogloss:0.005970+0.000069    test-mlogloss:0.969988+0.041548 
## [460]    train-mlogloss:0.005961+0.000068    test-mlogloss:0.970007+0.041530 
## [461]    train-mlogloss:0.005953+0.000067    test-mlogloss:0.970266+0.041448 
## [462]    train-mlogloss:0.005945+0.000066    test-mlogloss:0.970477+0.041541 
## [463]    train-mlogloss:0.005936+0.000065    test-mlogloss:0.970588+0.041681 
## [464]    train-mlogloss:0.005928+0.000065    test-mlogloss:0.970984+0.041949 
## [465]    train-mlogloss:0.005920+0.000065    test-mlogloss:0.971259+0.042019 
## [466]    train-mlogloss:0.005912+0.000065    test-mlogloss:0.971461+0.041974 
## [467]    train-mlogloss:0.005903+0.000066    test-mlogloss:0.971823+0.042074 
## [468]    train-mlogloss:0.005895+0.000066    test-mlogloss:0.971904+0.041890 
## [469]    train-mlogloss:0.005887+0.000066    test-mlogloss:0.972011+0.041820 
## [470]    train-mlogloss:0.005878+0.000066    test-mlogloss:0.972192+0.042020 
## [471]    train-mlogloss:0.005871+0.000066    test-mlogloss:0.972626+0.042050 
## [472]    train-mlogloss:0.005863+0.000066    test-mlogloss:0.972831+0.042088 
## [473]    train-mlogloss:0.005854+0.000066    test-mlogloss:0.973103+0.042119 
## [474]    train-mlogloss:0.005846+0.000065    test-mlogloss:0.973417+0.042270 
## [475]    train-mlogloss:0.005837+0.000065    test-mlogloss:0.973758+0.042251 
## [476]    train-mlogloss:0.005829+0.000065    test-mlogloss:0.974014+0.042321 
## [477]    train-mlogloss:0.005820+0.000066    test-mlogloss:0.974404+0.042161 
## [478]    train-mlogloss:0.005812+0.000066    test-mlogloss:0.974404+0.042238 
## [479]    train-mlogloss:0.005804+0.000066    test-mlogloss:0.974633+0.042225 
## [480]    train-mlogloss:0.005796+0.000065    test-mlogloss:0.974850+0.042406 
## [481]    train-mlogloss:0.005787+0.000066    test-mlogloss:0.974905+0.042461 
## [482]    train-mlogloss:0.005780+0.000067    test-mlogloss:0.975179+0.042522 
## [483]    train-mlogloss:0.005771+0.000066    test-mlogloss:0.975541+0.042311 
## [484]    train-mlogloss:0.005763+0.000066    test-mlogloss:0.975650+0.042199 
## [485]    train-mlogloss:0.005756+0.000068    test-mlogloss:0.975746+0.041961 
## [486]    train-mlogloss:0.005750+0.000067    test-mlogloss:0.976150+0.042190 
## [487]    train-mlogloss:0.005741+0.000067    test-mlogloss:0.976361+0.042077 
## [488]    train-mlogloss:0.005732+0.000068    test-mlogloss:0.976824+0.042095 
## [489]    train-mlogloss:0.005724+0.000067    test-mlogloss:0.976976+0.041929 
## [490]    train-mlogloss:0.005716+0.000067    test-mlogloss:0.977207+0.042171 
## [491]    train-mlogloss:0.005708+0.000067    test-mlogloss:0.977419+0.042158 
## [492]    train-mlogloss:0.005701+0.000067    test-mlogloss:0.977694+0.042311 
## [493]    train-mlogloss:0.005693+0.000066    test-mlogloss:0.977817+0.042274 
## [494]    train-mlogloss:0.005686+0.000067    test-mlogloss:0.978062+0.042182 
## [495]    train-mlogloss:0.005677+0.000066    test-mlogloss:0.978282+0.042212 
## [496]    train-mlogloss:0.005669+0.000066    test-mlogloss:0.978513+0.042248 
## [497]    train-mlogloss:0.005663+0.000067    test-mlogloss:0.978601+0.042194 
## [498]    train-mlogloss:0.005656+0.000066    test-mlogloss:0.978828+0.042347 
## [499]    train-mlogloss:0.005648+0.000067    test-mlogloss:0.979061+0.042492 
## [500]    train-mlogloss:0.005641+0.000066    test-mlogloss:0.979021+0.042365 
## [1]  train-mlogloss:0.538050+0.000783    test-mlogloss:0.554880+0.002951 
## [2]  train-mlogloss:0.508014+0.001171    test-mlogloss:0.541743+0.002829 
## [3]  train-mlogloss:0.495509+0.002062    test-mlogloss:0.542172+0.005339 
## [4]  train-mlogloss:0.487370+0.001586    test-mlogloss:0.545093+0.007085 
## [5]  train-mlogloss:0.480652+0.002473    test-mlogloss:0.548928+0.009664 
## [6]  train-mlogloss:0.474707+0.003224    test-mlogloss:0.552824+0.010185 
## [7]  train-mlogloss:0.468356+0.003876    test-mlogloss:0.556058+0.011969 
## [8]  train-mlogloss:0.459981+0.005704    test-mlogloss:0.563977+0.013841 
## [9]  train-mlogloss:0.456416+0.005210    test-mlogloss:0.565634+0.012636 
## [10] train-mlogloss:0.450950+0.004213    test-mlogloss:0.568472+0.012079 
## [11] train-mlogloss:0.447012+0.005428    test-mlogloss:0.570510+0.011801 
## [12] train-mlogloss:0.441769+0.005993    test-mlogloss:0.573022+0.012808 
## [13] train-mlogloss:0.436279+0.006477    test-mlogloss:0.577238+0.016157 
## [14] train-mlogloss:0.430172+0.007368    test-mlogloss:0.580248+0.017372 
## [15] train-mlogloss:0.422163+0.008146    test-mlogloss:0.585088+0.017622 
## [16] train-mlogloss:0.417484+0.008427    test-mlogloss:0.588098+0.016217 
## [17] train-mlogloss:0.411232+0.008239    test-mlogloss:0.590659+0.014973 
## [18] train-mlogloss:0.407158+0.009458    test-mlogloss:0.593360+0.015172 
## [19] train-mlogloss:0.401593+0.009783    test-mlogloss:0.596219+0.013586 
## [20] train-mlogloss:0.396138+0.008520    test-mlogloss:0.601528+0.013720 
## [21] train-mlogloss:0.390570+0.010208    test-mlogloss:0.605130+0.016153 
## [22] train-mlogloss:0.385464+0.010017    test-mlogloss:0.607934+0.016000 
## [23] train-mlogloss:0.379650+0.011242    test-mlogloss:0.613125+0.016556 
## [24] train-mlogloss:0.374239+0.011620    test-mlogloss:0.614558+0.015055 
## [25] train-mlogloss:0.367531+0.010781    test-mlogloss:0.620130+0.015781 
## [26] train-mlogloss:0.363160+0.010132    test-mlogloss:0.622561+0.014875 
## [27] train-mlogloss:0.357980+0.009754    test-mlogloss:0.625848+0.013978 
## [28] train-mlogloss:0.354112+0.008750    test-mlogloss:0.627287+0.014606 
## [29] train-mlogloss:0.350414+0.007924    test-mlogloss:0.629043+0.014317 
## [30] train-mlogloss:0.344339+0.007575    test-mlogloss:0.631703+0.014878 
## [31] train-mlogloss:0.339621+0.007932    test-mlogloss:0.634177+0.014901 
## [32] train-mlogloss:0.335434+0.007519    test-mlogloss:0.637527+0.014865 
## [33] train-mlogloss:0.331594+0.009801    test-mlogloss:0.640896+0.017194 
## [34] train-mlogloss:0.325822+0.010055    test-mlogloss:0.643903+0.017510 
## [35] train-mlogloss:0.321350+0.010105    test-mlogloss:0.646154+0.017768 
## [36] train-mlogloss:0.315682+0.008399    test-mlogloss:0.648227+0.017079 
## [37] train-mlogloss:0.312552+0.008269    test-mlogloss:0.649349+0.016147 
## [38] train-mlogloss:0.308418+0.008744    test-mlogloss:0.653633+0.016261 
## [39] train-mlogloss:0.304213+0.008380    test-mlogloss:0.656182+0.015544 
## [40] train-mlogloss:0.299325+0.009042    test-mlogloss:0.660326+0.017254 
## [41] train-mlogloss:0.296183+0.009671    test-mlogloss:0.662452+0.018158 
## [42] train-mlogloss:0.293116+0.009623    test-mlogloss:0.666129+0.017029 
## [43] train-mlogloss:0.291094+0.009978    test-mlogloss:0.668313+0.017680 
## [44] train-mlogloss:0.287198+0.008649    test-mlogloss:0.671262+0.017884 
## [45] train-mlogloss:0.283287+0.008166    test-mlogloss:0.672299+0.017974 
## [46] train-mlogloss:0.279480+0.008964    test-mlogloss:0.673778+0.017188 
## [47] train-mlogloss:0.275536+0.008223    test-mlogloss:0.677569+0.015602 
## [48] train-mlogloss:0.270943+0.008451    test-mlogloss:0.679664+0.014264 
## [49] train-mlogloss:0.266845+0.008130    test-mlogloss:0.683669+0.012569 
## [50] train-mlogloss:0.263160+0.008669    test-mlogloss:0.685568+0.013485 
## [51] train-mlogloss:0.259783+0.008594    test-mlogloss:0.686893+0.013912 
## [52] train-mlogloss:0.256683+0.007784    test-mlogloss:0.687963+0.015266 
## [53] train-mlogloss:0.252000+0.006392    test-mlogloss:0.692512+0.014584 
## [54] train-mlogloss:0.248377+0.006144    test-mlogloss:0.696191+0.014398 
## [55] train-mlogloss:0.245642+0.006180    test-mlogloss:0.698929+0.015408 
## [56] train-mlogloss:0.242469+0.006685    test-mlogloss:0.700622+0.016932 
## [57] train-mlogloss:0.238840+0.006166    test-mlogloss:0.702653+0.016725 
## [58] train-mlogloss:0.235412+0.006529    test-mlogloss:0.706020+0.017266 
## [59] train-mlogloss:0.232631+0.007000    test-mlogloss:0.708153+0.017728 
## [60] train-mlogloss:0.229360+0.007031    test-mlogloss:0.709851+0.018398 
## [61] train-mlogloss:0.226433+0.006643    test-mlogloss:0.712962+0.019529 
## [62] train-mlogloss:0.221852+0.006500    test-mlogloss:0.716837+0.021401 
## [63] train-mlogloss:0.218376+0.006470    test-mlogloss:0.721720+0.022211 
## [64] train-mlogloss:0.215680+0.005614    test-mlogloss:0.723092+0.021964 
## [65] train-mlogloss:0.213485+0.005355    test-mlogloss:0.723765+0.021809 
## [66] train-mlogloss:0.210177+0.005400    test-mlogloss:0.726511+0.021874 
## [67] train-mlogloss:0.206755+0.006359    test-mlogloss:0.727403+0.022463 
## [68] train-mlogloss:0.203912+0.006259    test-mlogloss:0.729273+0.021886 
## [69] train-mlogloss:0.202187+0.006160    test-mlogloss:0.729935+0.021941 
## [70] train-mlogloss:0.200070+0.005827    test-mlogloss:0.731467+0.022004 
## [71] train-mlogloss:0.198148+0.006498    test-mlogloss:0.732638+0.021677 
## [72] train-mlogloss:0.196004+0.006820    test-mlogloss:0.735347+0.021076 
## [73] train-mlogloss:0.193955+0.006313    test-mlogloss:0.736437+0.021635 
## [74] train-mlogloss:0.192073+0.006244    test-mlogloss:0.738901+0.021361 
## [75] train-mlogloss:0.188950+0.005550    test-mlogloss:0.741874+0.020445 
## [76] train-mlogloss:0.187203+0.005688    test-mlogloss:0.742640+0.020356 
## [77] train-mlogloss:0.185177+0.006188    test-mlogloss:0.745311+0.021048 
## [78] train-mlogloss:0.182626+0.006623    test-mlogloss:0.745598+0.020281 
## [79] train-mlogloss:0.180206+0.006363    test-mlogloss:0.746189+0.020017 
## [80] train-mlogloss:0.178092+0.005578    test-mlogloss:0.748654+0.019469 
## [81] train-mlogloss:0.176395+0.005858    test-mlogloss:0.750169+0.019692 
## [82] train-mlogloss:0.174011+0.006153    test-mlogloss:0.752546+0.020052 
## [83] train-mlogloss:0.172658+0.006501    test-mlogloss:0.753756+0.020140 
## [84] train-mlogloss:0.171137+0.006065    test-mlogloss:0.755582+0.019406 
## [85] train-mlogloss:0.169084+0.005230    test-mlogloss:0.757080+0.018944 
## [86] train-mlogloss:0.166682+0.005951    test-mlogloss:0.760265+0.019020 
## [87] train-mlogloss:0.164758+0.006010    test-mlogloss:0.761939+0.017571 
## [88] train-mlogloss:0.162472+0.006166    test-mlogloss:0.763357+0.017362 
## [89] train-mlogloss:0.160865+0.006817    test-mlogloss:0.765515+0.017631 
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## [91] train-mlogloss:0.157123+0.006744    test-mlogloss:0.768239+0.016995 
## [92] train-mlogloss:0.154683+0.006075    test-mlogloss:0.771331+0.015808 
## [93] train-mlogloss:0.151802+0.006641    test-mlogloss:0.772996+0.015261 
## [94] train-mlogloss:0.149903+0.006170    test-mlogloss:0.774352+0.014638 
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## [499]    train-mlogloss:0.009106+0.000293    test-mlogloss:1.168551+0.028871 
## [500]    train-mlogloss:0.009074+0.000296    test-mlogloss:1.169562+0.029508 
## [1]  train-mlogloss:0.402007+0.004785    test-mlogloss:0.616389+0.010717 
## [2]  train-mlogloss:0.283258+0.004489    test-mlogloss:0.634764+0.016790 
## [3]  train-mlogloss:0.214245+0.003117    test-mlogloss:0.661336+0.020361 
## [4]  train-mlogloss:0.169110+0.003650    test-mlogloss:0.687753+0.023417 
## [5]  train-mlogloss:0.138859+0.004798    test-mlogloss:0.709256+0.026123 
## [6]  train-mlogloss:0.118278+0.004966    test-mlogloss:0.724929+0.032024 
## [7]  train-mlogloss:0.102738+0.004591    test-mlogloss:0.739267+0.034058 
## [8]  train-mlogloss:0.089309+0.004361    test-mlogloss:0.753593+0.034700 
## [9]  train-mlogloss:0.077987+0.003189    test-mlogloss:0.766469+0.035910 
## [10] train-mlogloss:0.069860+0.002609    test-mlogloss:0.780432+0.036176 
## [11] train-mlogloss:0.063778+0.001817    test-mlogloss:0.791224+0.034776 
## [12] train-mlogloss:0.058066+0.001916    test-mlogloss:0.801073+0.032078 
## [13] train-mlogloss:0.053286+0.001473    test-mlogloss:0.811597+0.035307 
## [14] train-mlogloss:0.049688+0.002013    test-mlogloss:0.819539+0.036683 
## [15] train-mlogloss:0.046008+0.001542    test-mlogloss:0.829184+0.038795 
## [16] train-mlogloss:0.043254+0.001175    test-mlogloss:0.839460+0.038677 
## [17] train-mlogloss:0.040541+0.000995    test-mlogloss:0.848432+0.040151 
## [18] train-mlogloss:0.038830+0.001359    test-mlogloss:0.852481+0.041650 
## [19] train-mlogloss:0.036672+0.001390    test-mlogloss:0.858364+0.042568 
## [20] train-mlogloss:0.034663+0.001228    test-mlogloss:0.865339+0.041129 
## [21] train-mlogloss:0.032846+0.001167    test-mlogloss:0.871707+0.043481 
## [22] train-mlogloss:0.031196+0.001033    test-mlogloss:0.877536+0.044400 
## [23] train-mlogloss:0.030047+0.001260    test-mlogloss:0.881822+0.044733 
## [24] train-mlogloss:0.028654+0.001135    test-mlogloss:0.888097+0.044448 
## [25] train-mlogloss:0.027512+0.001081    test-mlogloss:0.890574+0.047093 
## [26] train-mlogloss:0.026361+0.000960    test-mlogloss:0.893526+0.046792 
## [27] train-mlogloss:0.025299+0.000886    test-mlogloss:0.898568+0.045793 
## [28] train-mlogloss:0.024339+0.000877    test-mlogloss:0.902663+0.046613 
## [29] train-mlogloss:0.023471+0.000788    test-mlogloss:0.908851+0.045834 
## [30] train-mlogloss:0.022721+0.000743    test-mlogloss:0.912692+0.046803 
## [31] train-mlogloss:0.021961+0.000703    test-mlogloss:0.916252+0.049402 
## [32] train-mlogloss:0.021315+0.000660    test-mlogloss:0.920392+0.049411 
## [33] train-mlogloss:0.020647+0.000597    test-mlogloss:0.923634+0.051014 
## [34] train-mlogloss:0.020056+0.000560    test-mlogloss:0.926444+0.050469 
## [35] train-mlogloss:0.019509+0.000540    test-mlogloss:0.930127+0.050584 
## [36] train-mlogloss:0.018961+0.000513    test-mlogloss:0.933105+0.050187 
## [37] train-mlogloss:0.018464+0.000486    test-mlogloss:0.938420+0.050085 
## [38] train-mlogloss:0.018060+0.000455    test-mlogloss:0.940133+0.049950 
## [39] train-mlogloss:0.017639+0.000427    test-mlogloss:0.942696+0.049622 
## [40] train-mlogloss:0.017204+0.000440    test-mlogloss:0.946010+0.048732 
## [41] train-mlogloss:0.016838+0.000391    test-mlogloss:0.948698+0.048677 
## [42] train-mlogloss:0.016474+0.000395    test-mlogloss:0.951109+0.048960 
## [43] train-mlogloss:0.016112+0.000377    test-mlogloss:0.952909+0.048076 
## [44] train-mlogloss:0.015774+0.000376    test-mlogloss:0.954432+0.047645 
## [45] train-mlogloss:0.015456+0.000360    test-mlogloss:0.955455+0.047826 
## [46] train-mlogloss:0.015145+0.000336    test-mlogloss:0.956624+0.046146 
## [47] train-mlogloss:0.014855+0.000320    test-mlogloss:0.959095+0.047873 
## [48] train-mlogloss:0.014559+0.000316    test-mlogloss:0.960028+0.046616 
## [49] train-mlogloss:0.014295+0.000287    test-mlogloss:0.962702+0.047561 
## [50] train-mlogloss:0.014039+0.000275    test-mlogloss:0.965390+0.046306 
## [51] train-mlogloss:0.013799+0.000269    test-mlogloss:0.967747+0.046390 
## [52] train-mlogloss:0.013574+0.000267    test-mlogloss:0.969760+0.045966 
## [53] train-mlogloss:0.013340+0.000263    test-mlogloss:0.971439+0.045831 
## [54] train-mlogloss:0.013146+0.000266    test-mlogloss:0.972689+0.045387 
## [55] train-mlogloss:0.012948+0.000267    test-mlogloss:0.974574+0.044772 
## [56] train-mlogloss:0.012752+0.000262    test-mlogloss:0.974927+0.043989 
## [57] train-mlogloss:0.012560+0.000249    test-mlogloss:0.978034+0.043376 
## [58] train-mlogloss:0.012385+0.000237    test-mlogloss:0.979810+0.043500 
## [59] train-mlogloss:0.012211+0.000238    test-mlogloss:0.981121+0.043047 
## [60] train-mlogloss:0.012042+0.000242    test-mlogloss:0.982941+0.044136 
## [61] train-mlogloss:0.011879+0.000232    test-mlogloss:0.984288+0.042491 
## [62] train-mlogloss:0.011720+0.000213    test-mlogloss:0.985280+0.042719 
## [63] train-mlogloss:0.011573+0.000208    test-mlogloss:0.986775+0.043100 
## [64] train-mlogloss:0.011429+0.000201    test-mlogloss:0.988139+0.043237 
## [65] train-mlogloss:0.011293+0.000197    test-mlogloss:0.989506+0.043882 
## [66] train-mlogloss:0.011147+0.000194    test-mlogloss:0.991789+0.044076 
## [67] train-mlogloss:0.011008+0.000174    test-mlogloss:0.993154+0.044113 
## [68] train-mlogloss:0.010871+0.000167    test-mlogloss:0.995509+0.044766 
## [69] train-mlogloss:0.010744+0.000163    test-mlogloss:0.997693+0.044483 
## [70] train-mlogloss:0.010621+0.000159    test-mlogloss:0.998847+0.044654 
## [71] train-mlogloss:0.010497+0.000149    test-mlogloss:0.999610+0.045603 
## [72] train-mlogloss:0.010374+0.000139    test-mlogloss:1.001843+0.046657 
## [73] train-mlogloss:0.010262+0.000134    test-mlogloss:1.003150+0.045835 
## [74] train-mlogloss:0.010149+0.000135    test-mlogloss:1.004281+0.046101 
## [75] train-mlogloss:0.010044+0.000136    test-mlogloss:1.005545+0.044827 
## [76] train-mlogloss:0.009942+0.000132    test-mlogloss:1.007011+0.043847 
## [77] train-mlogloss:0.009836+0.000126    test-mlogloss:1.008413+0.044041 
## [78] train-mlogloss:0.009741+0.000124    test-mlogloss:1.008848+0.044396 
## [79] train-mlogloss:0.009637+0.000123    test-mlogloss:1.009963+0.044367 
## [80] train-mlogloss:0.009542+0.000118    test-mlogloss:1.011936+0.043682 
## [81] train-mlogloss:0.009455+0.000118    test-mlogloss:1.012984+0.044074 
## [82] train-mlogloss:0.009366+0.000116    test-mlogloss:1.014252+0.044531 
## [83] train-mlogloss:0.009280+0.000111    test-mlogloss:1.015466+0.045087 
## [84] train-mlogloss:0.009191+0.000117    test-mlogloss:1.016228+0.044541 
## [85] train-mlogloss:0.009106+0.000120    test-mlogloss:1.017597+0.044868 
## [86] train-mlogloss:0.009022+0.000120    test-mlogloss:1.018830+0.045396 
## [87] train-mlogloss:0.008943+0.000117    test-mlogloss:1.019970+0.044900 
## [88] train-mlogloss:0.008866+0.000110    test-mlogloss:1.020985+0.045255 
## [89] train-mlogloss:0.008790+0.000109    test-mlogloss:1.022891+0.045746 
## [90] train-mlogloss:0.008711+0.000107    test-mlogloss:1.023676+0.045794 
## [91] train-mlogloss:0.008644+0.000106    test-mlogloss:1.024778+0.045916 
## [92] train-mlogloss:0.008577+0.000108    test-mlogloss:1.026016+0.045703 
## [93] train-mlogloss:0.008511+0.000108    test-mlogloss:1.027857+0.045824 
## [94] train-mlogloss:0.008447+0.000106    test-mlogloss:1.029029+0.046470 
## [95] train-mlogloss:0.008381+0.000096    test-mlogloss:1.029640+0.046157 
## [96] train-mlogloss:0.008313+0.000097    test-mlogloss:1.030482+0.046491 
## [97] train-mlogloss:0.008241+0.000097    test-mlogloss:1.032264+0.046104 
## [98] train-mlogloss:0.008180+0.000094    test-mlogloss:1.033200+0.045628 
## [99] train-mlogloss:0.008111+0.000096    test-mlogloss:1.033893+0.046445 
## [100]    train-mlogloss:0.008053+0.000099    test-mlogloss:1.034579+0.047292 
## [101]    train-mlogloss:0.007993+0.000096    test-mlogloss:1.036182+0.047384 
## [102]    train-mlogloss:0.007936+0.000095    test-mlogloss:1.037216+0.047337 
## [103]    train-mlogloss:0.007879+0.000093    test-mlogloss:1.037630+0.048056 
## [104]    train-mlogloss:0.007830+0.000092    test-mlogloss:1.038695+0.047492 
## [105]    train-mlogloss:0.007773+0.000090    test-mlogloss:1.039952+0.047941 
## [106]    train-mlogloss:0.007719+0.000086    test-mlogloss:1.041396+0.048438 
## [107]    train-mlogloss:0.007667+0.000086    test-mlogloss:1.041904+0.048646 
## [108]    train-mlogloss:0.007614+0.000086    test-mlogloss:1.043511+0.048370 
## [109]    train-mlogloss:0.007558+0.000083    test-mlogloss:1.044762+0.048792 
## [110]    train-mlogloss:0.007508+0.000082    test-mlogloss:1.045033+0.049015 
## [111]    train-mlogloss:0.007456+0.000084    test-mlogloss:1.046310+0.049317 
## [112]    train-mlogloss:0.007407+0.000081    test-mlogloss:1.047491+0.049023 
## [113]    train-mlogloss:0.007360+0.000080    test-mlogloss:1.047520+0.049625 
## [114]    train-mlogloss:0.007313+0.000079    test-mlogloss:1.048759+0.050331 
## [115]    train-mlogloss:0.007269+0.000078    test-mlogloss:1.050633+0.050764 
## [116]    train-mlogloss:0.007226+0.000077    test-mlogloss:1.051479+0.050614 
## [117]    train-mlogloss:0.007180+0.000076    test-mlogloss:1.052250+0.050361 
## [118]    train-mlogloss:0.007137+0.000076    test-mlogloss:1.053085+0.050279 
## [119]    train-mlogloss:0.007096+0.000076    test-mlogloss:1.053767+0.050148 
## [120]    train-mlogloss:0.007055+0.000074    test-mlogloss:1.054899+0.050310 
## [121]    train-mlogloss:0.007014+0.000071    test-mlogloss:1.055809+0.050492 
## [122]    train-mlogloss:0.006971+0.000071    test-mlogloss:1.056726+0.050773 
## [123]    train-mlogloss:0.006933+0.000074    test-mlogloss:1.057155+0.050305 
## [124]    train-mlogloss:0.006891+0.000075    test-mlogloss:1.057770+0.050814 
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## [126]    train-mlogloss:0.006812+0.000080    test-mlogloss:1.059603+0.050560 
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## [411]    train-mlogloss:0.003286+0.000031    test-mlogloss:1.166469+0.060530 
## [412]    train-mlogloss:0.003282+0.000030    test-mlogloss:1.166704+0.060746 
## [413]    train-mlogloss:0.003277+0.000030    test-mlogloss:1.167130+0.060611 
## [414]    train-mlogloss:0.003273+0.000030    test-mlogloss:1.167286+0.060883 
## [415]    train-mlogloss:0.003269+0.000029    test-mlogloss:1.167625+0.061073 
## [416]    train-mlogloss:0.003265+0.000029    test-mlogloss:1.167734+0.060955 
## [417]    train-mlogloss:0.003261+0.000030    test-mlogloss:1.167661+0.060550 
## [418]    train-mlogloss:0.003256+0.000030    test-mlogloss:1.168231+0.060614 
## [419]    train-mlogloss:0.003253+0.000030    test-mlogloss:1.168331+0.060547 
## [420]    train-mlogloss:0.003248+0.000030    test-mlogloss:1.168622+0.060169 
## [421]    train-mlogloss:0.003245+0.000030    test-mlogloss:1.169039+0.060476 
## [422]    train-mlogloss:0.003241+0.000029    test-mlogloss:1.168849+0.060202 
## [423]    train-mlogloss:0.003236+0.000029    test-mlogloss:1.169069+0.060196 
## [424]    train-mlogloss:0.003232+0.000029    test-mlogloss:1.169283+0.060162 
## [425]    train-mlogloss:0.003227+0.000029    test-mlogloss:1.169479+0.060013 
## [426]    train-mlogloss:0.003224+0.000029    test-mlogloss:1.169565+0.060149 
## [427]    train-mlogloss:0.003220+0.000029    test-mlogloss:1.169794+0.060137 
## [428]    train-mlogloss:0.003217+0.000029    test-mlogloss:1.170162+0.060020 
## [429]    train-mlogloss:0.003213+0.000029    test-mlogloss:1.170586+0.060528 
## [430]    train-mlogloss:0.003209+0.000028    test-mlogloss:1.171049+0.060609 
## [431]    train-mlogloss:0.003205+0.000028    test-mlogloss:1.171227+0.060290 
## [432]    train-mlogloss:0.003202+0.000028    test-mlogloss:1.171228+0.059943 
## [433]    train-mlogloss:0.003198+0.000028    test-mlogloss:1.171619+0.059980 
## [434]    train-mlogloss:0.003194+0.000029    test-mlogloss:1.171777+0.060556 
## [435]    train-mlogloss:0.003190+0.000029    test-mlogloss:1.171768+0.060348 
## [436]    train-mlogloss:0.003185+0.000029    test-mlogloss:1.171990+0.059978 
## [437]    train-mlogloss:0.003181+0.000029    test-mlogloss:1.172418+0.060258 
## [438]    train-mlogloss:0.003178+0.000029    test-mlogloss:1.172603+0.060019 
## [439]    train-mlogloss:0.003173+0.000028    test-mlogloss:1.172881+0.059762 
## [440]    train-mlogloss:0.003169+0.000028    test-mlogloss:1.173049+0.059704 
## [441]    train-mlogloss:0.003165+0.000028    test-mlogloss:1.173394+0.059918 
## [442]    train-mlogloss:0.003161+0.000028    test-mlogloss:1.173592+0.060053 
## [443]    train-mlogloss:0.003157+0.000027    test-mlogloss:1.173640+0.060043 
## [444]    train-mlogloss:0.003153+0.000027    test-mlogloss:1.173873+0.060038 
## [445]    train-mlogloss:0.003150+0.000027    test-mlogloss:1.174473+0.060211 
## [446]    train-mlogloss:0.003146+0.000027    test-mlogloss:1.174866+0.059643 
## [447]    train-mlogloss:0.003142+0.000027    test-mlogloss:1.174946+0.059586 
## [448]    train-mlogloss:0.003139+0.000027    test-mlogloss:1.174758+0.059467 
## [449]    train-mlogloss:0.003136+0.000028    test-mlogloss:1.174916+0.059328 
## [450]    train-mlogloss:0.003132+0.000027    test-mlogloss:1.174780+0.059221 
## [451]    train-mlogloss:0.003129+0.000028    test-mlogloss:1.175056+0.059244 
## [452]    train-mlogloss:0.003125+0.000028    test-mlogloss:1.175121+0.059144 
## [453]    train-mlogloss:0.003121+0.000029    test-mlogloss:1.175263+0.059219 
## [454]    train-mlogloss:0.003118+0.000028    test-mlogloss:1.175827+0.058998 
## [455]    train-mlogloss:0.003114+0.000028    test-mlogloss:1.175563+0.059011 
## [456]    train-mlogloss:0.003111+0.000028    test-mlogloss:1.175520+0.059158 
## [457]    train-mlogloss:0.003107+0.000027    test-mlogloss:1.175747+0.058660 
## [458]    train-mlogloss:0.003104+0.000027    test-mlogloss:1.176450+0.058801 
## [459]    train-mlogloss:0.003100+0.000027    test-mlogloss:1.176907+0.058963 
## [460]    train-mlogloss:0.003097+0.000028    test-mlogloss:1.177106+0.058977 
## [461]    train-mlogloss:0.003093+0.000028    test-mlogloss:1.177038+0.059180 
## [462]    train-mlogloss:0.003089+0.000028    test-mlogloss:1.177585+0.059116 
## [463]    train-mlogloss:0.003086+0.000028    test-mlogloss:1.177404+0.058698 
## [464]    train-mlogloss:0.003083+0.000027    test-mlogloss:1.177700+0.058916 
## [465]    train-mlogloss:0.003080+0.000028    test-mlogloss:1.177798+0.058879 
## [466]    train-mlogloss:0.003077+0.000028    test-mlogloss:1.178401+0.059169 
## [467]    train-mlogloss:0.003073+0.000028    test-mlogloss:1.178204+0.058950 
## [468]    train-mlogloss:0.003070+0.000028    test-mlogloss:1.178437+0.059405 
## [469]    train-mlogloss:0.003067+0.000028    test-mlogloss:1.178979+0.059562 
## [470]    train-mlogloss:0.003063+0.000028    test-mlogloss:1.179049+0.059607 
## [471]    train-mlogloss:0.003060+0.000028    test-mlogloss:1.179507+0.059495 
## [472]    train-mlogloss:0.003057+0.000028    test-mlogloss:1.180080+0.059862 
## [473]    train-mlogloss:0.003054+0.000028    test-mlogloss:1.179966+0.059806 
## [474]    train-mlogloss:0.003051+0.000028    test-mlogloss:1.180364+0.059550 
## [475]    train-mlogloss:0.003048+0.000028    test-mlogloss:1.180379+0.059499 
## [476]    train-mlogloss:0.003044+0.000027    test-mlogloss:1.180140+0.059730 
## [477]    train-mlogloss:0.003041+0.000027    test-mlogloss:1.180370+0.059986 
## [478]    train-mlogloss:0.003038+0.000027    test-mlogloss:1.180392+0.059966 
## [479]    train-mlogloss:0.003035+0.000027    test-mlogloss:1.180612+0.059790 
## [480]    train-mlogloss:0.003031+0.000026    test-mlogloss:1.181051+0.060102 
## [481]    train-mlogloss:0.003028+0.000026    test-mlogloss:1.180955+0.059829 
## [482]    train-mlogloss:0.003024+0.000026    test-mlogloss:1.181446+0.059511 
## [483]    train-mlogloss:0.003021+0.000026    test-mlogloss:1.181723+0.059268 
## [484]    train-mlogloss:0.003018+0.000027    test-mlogloss:1.181930+0.059372 
## [485]    train-mlogloss:0.003015+0.000027    test-mlogloss:1.181858+0.059529 
## [486]    train-mlogloss:0.003012+0.000026    test-mlogloss:1.182022+0.059562 
## [487]    train-mlogloss:0.003009+0.000026    test-mlogloss:1.182230+0.060009 
## [488]    train-mlogloss:0.003006+0.000026    test-mlogloss:1.182456+0.059980 
## [489]    train-mlogloss:0.003003+0.000026    test-mlogloss:1.182410+0.060085 
## [490]    train-mlogloss:0.003000+0.000026    test-mlogloss:1.182755+0.059705 
## [491]    train-mlogloss:0.002997+0.000025    test-mlogloss:1.182911+0.060010 
## [492]    train-mlogloss:0.002993+0.000025    test-mlogloss:1.183112+0.060072 
## [493]    train-mlogloss:0.002990+0.000024    test-mlogloss:1.183053+0.059833 
## [494]    train-mlogloss:0.002988+0.000025    test-mlogloss:1.183237+0.059524 
## [495]    train-mlogloss:0.002984+0.000024    test-mlogloss:1.183719+0.059442 
## [496]    train-mlogloss:0.002981+0.000024    test-mlogloss:1.184124+0.059832 
## [497]    train-mlogloss:0.002977+0.000024    test-mlogloss:1.184613+0.060113 
## [498]    train-mlogloss:0.002974+0.000024    test-mlogloss:1.184530+0.060112 
## [499]    train-mlogloss:0.002971+0.000024    test-mlogloss:1.184680+0.059916 
## [500]    train-mlogloss:0.002968+0.000024    test-mlogloss:1.184661+0.059987 
## [1]  train-mlogloss:0.525099+0.003845    test-mlogloss:0.551682+0.013898 
## [2]  train-mlogloss:0.504118+0.003107    test-mlogloss:0.553083+0.014449 
## [3]  train-mlogloss:0.494631+0.003314    test-mlogloss:0.556219+0.015831 
## [4]  train-mlogloss:0.489410+0.003382    test-mlogloss:0.558845+0.017597 
## [5]  train-mlogloss:0.480297+0.005235    test-mlogloss:0.565635+0.016436 
## [6]  train-mlogloss:0.472390+0.004063    test-mlogloss:0.573143+0.013161 
## [7]  train-mlogloss:0.463875+0.005814    test-mlogloss:0.580694+0.015634 
## [8]  train-mlogloss:0.456362+0.004075    test-mlogloss:0.588820+0.017802 
## [9]  train-mlogloss:0.447983+0.004402    test-mlogloss:0.596684+0.016650 
## [10] train-mlogloss:0.439918+0.004230    test-mlogloss:0.600435+0.016931 
## [11] train-mlogloss:0.432015+0.004504    test-mlogloss:0.603187+0.016711 
## [12] train-mlogloss:0.424279+0.003190    test-mlogloss:0.608946+0.015734 
## [13] train-mlogloss:0.415690+0.004400    test-mlogloss:0.613955+0.013686 
## [14] train-mlogloss:0.408022+0.004318    test-mlogloss:0.619743+0.011426 
## [15] train-mlogloss:0.401342+0.005090    test-mlogloss:0.628412+0.009711 
## [16] train-mlogloss:0.394439+0.004411    test-mlogloss:0.635061+0.011203 
## [17] train-mlogloss:0.387738+0.004499    test-mlogloss:0.640047+0.014468 
## [18] train-mlogloss:0.382807+0.004861    test-mlogloss:0.643308+0.015173 
## [19] train-mlogloss:0.375168+0.006360    test-mlogloss:0.650610+0.017510 
## [20] train-mlogloss:0.368424+0.006276    test-mlogloss:0.654162+0.017031 
## [21] train-mlogloss:0.363282+0.007654    test-mlogloss:0.659044+0.016306 
## [22] train-mlogloss:0.356947+0.007009    test-mlogloss:0.663639+0.019639 
## [23] train-mlogloss:0.349363+0.007992    test-mlogloss:0.667410+0.017290 
## [24] train-mlogloss:0.343484+0.007403    test-mlogloss:0.669018+0.016760 
## [25] train-mlogloss:0.337684+0.007538    test-mlogloss:0.674870+0.016529 
## [26] train-mlogloss:0.331095+0.005454    test-mlogloss:0.682717+0.019754 
## [27] train-mlogloss:0.325007+0.004177    test-mlogloss:0.687181+0.018591 
## [28] train-mlogloss:0.319193+0.005943    test-mlogloss:0.693376+0.021040 
## [29] train-mlogloss:0.313982+0.006915    test-mlogloss:0.697135+0.022235 
## [30] train-mlogloss:0.308904+0.007888    test-mlogloss:0.702030+0.024409 
## [31] train-mlogloss:0.305431+0.007533    test-mlogloss:0.704773+0.024098 
## [32] train-mlogloss:0.299795+0.007893    test-mlogloss:0.708322+0.025572 
## [33] train-mlogloss:0.294025+0.007206    test-mlogloss:0.715493+0.028742 
## [34] train-mlogloss:0.287983+0.007445    test-mlogloss:0.720809+0.029618 
## [35] train-mlogloss:0.282657+0.007652    test-mlogloss:0.726968+0.030534 
## [36] train-mlogloss:0.277338+0.008123    test-mlogloss:0.732349+0.030941 
## [37] train-mlogloss:0.271742+0.009484    test-mlogloss:0.736745+0.031937 
## [38] train-mlogloss:0.268232+0.009938    test-mlogloss:0.740280+0.034210 
## [39] train-mlogloss:0.262933+0.009441    test-mlogloss:0.748005+0.033275 
## [40] train-mlogloss:0.259024+0.008888    test-mlogloss:0.751972+0.033179 
## [41] train-mlogloss:0.255055+0.008390    test-mlogloss:0.755237+0.032822 
## [42] train-mlogloss:0.252038+0.007825    test-mlogloss:0.757017+0.033871 
## [43] train-mlogloss:0.247766+0.008220    test-mlogloss:0.760262+0.034636 
## [44] train-mlogloss:0.244447+0.008798    test-mlogloss:0.762997+0.036568 
## [45] train-mlogloss:0.239819+0.010363    test-mlogloss:0.768455+0.037823 
## [46] train-mlogloss:0.236671+0.011181    test-mlogloss:0.770850+0.039418 
## [47] train-mlogloss:0.232440+0.009860    test-mlogloss:0.774073+0.039767 
## [48] train-mlogloss:0.228420+0.008960    test-mlogloss:0.779179+0.040640 
## [49] train-mlogloss:0.225240+0.008828    test-mlogloss:0.782303+0.040439 
## [50] train-mlogloss:0.221944+0.007305    test-mlogloss:0.783221+0.042151 
## [51] train-mlogloss:0.218761+0.006218    test-mlogloss:0.785352+0.042712 
## [52] train-mlogloss:0.215105+0.006620    test-mlogloss:0.788749+0.043494 
## [53] train-mlogloss:0.211499+0.007191    test-mlogloss:0.790151+0.045978 
## [54] train-mlogloss:0.207749+0.006729    test-mlogloss:0.795152+0.048069 
## [55] train-mlogloss:0.203697+0.006683    test-mlogloss:0.799549+0.047569 
## [56] train-mlogloss:0.199867+0.006124    test-mlogloss:0.803372+0.048830 
## [57] train-mlogloss:0.196309+0.005830    test-mlogloss:0.806784+0.047012 
## [58] train-mlogloss:0.192550+0.006094    test-mlogloss:0.808351+0.047453 
## [59] train-mlogloss:0.189455+0.006322    test-mlogloss:0.811279+0.047504 
## [60] train-mlogloss:0.186005+0.006288    test-mlogloss:0.816169+0.047538 
## [61] train-mlogloss:0.182930+0.006408    test-mlogloss:0.821475+0.046634 
## [62] train-mlogloss:0.179579+0.006518    test-mlogloss:0.822500+0.046474 
## [63] train-mlogloss:0.176202+0.006074    test-mlogloss:0.827953+0.049048 
## [64] train-mlogloss:0.172605+0.005958    test-mlogloss:0.830990+0.049092 
## [65] train-mlogloss:0.169888+0.005186    test-mlogloss:0.835583+0.051591 
## [66] train-mlogloss:0.166588+0.005704    test-mlogloss:0.840408+0.051474 
## [67] train-mlogloss:0.163470+0.005757    test-mlogloss:0.845656+0.054321 
## [68] train-mlogloss:0.160941+0.005748    test-mlogloss:0.848593+0.054382 
## [69] train-mlogloss:0.157238+0.005472    test-mlogloss:0.852527+0.054157 
## [70] train-mlogloss:0.154707+0.005707    test-mlogloss:0.855317+0.051055 
## [71] train-mlogloss:0.151712+0.006123    test-mlogloss:0.856929+0.051252 
## [72] train-mlogloss:0.148727+0.005471    test-mlogloss:0.860613+0.049855 
## [73] train-mlogloss:0.145639+0.005277    test-mlogloss:0.864898+0.051007 
## [74] train-mlogloss:0.143340+0.005191    test-mlogloss:0.868363+0.050482 
## [75] train-mlogloss:0.140724+0.005578    test-mlogloss:0.869356+0.049932 
## [76] train-mlogloss:0.138445+0.005628    test-mlogloss:0.871852+0.050577 
## [77] train-mlogloss:0.136579+0.006140    test-mlogloss:0.874541+0.051265 
## [78] train-mlogloss:0.134388+0.006355    test-mlogloss:0.875686+0.051463 
## [79] train-mlogloss:0.132644+0.006294    test-mlogloss:0.877389+0.052464 
## [80] train-mlogloss:0.130189+0.005897    test-mlogloss:0.880352+0.052096 
## [81] train-mlogloss:0.127266+0.005738    test-mlogloss:0.884415+0.053305 
## [82] train-mlogloss:0.124889+0.005485    test-mlogloss:0.886088+0.054836 
## [83] train-mlogloss:0.123412+0.005287    test-mlogloss:0.889462+0.055381 
## [84] train-mlogloss:0.121269+0.004792    test-mlogloss:0.892474+0.054991 
## [85] train-mlogloss:0.119434+0.004274    test-mlogloss:0.893983+0.053673 
## [86] train-mlogloss:0.117390+0.004146    test-mlogloss:0.897152+0.052793 
## [87] train-mlogloss:0.115474+0.004165    test-mlogloss:0.900424+0.053128 
## [88] train-mlogloss:0.113734+0.003723    test-mlogloss:0.905664+0.053115 
## [89] train-mlogloss:0.111629+0.003760    test-mlogloss:0.908918+0.053207 
## [90] train-mlogloss:0.110043+0.003765    test-mlogloss:0.911310+0.053886 
## [91] train-mlogloss:0.108648+0.003809    test-mlogloss:0.913921+0.055327 
## [92] train-mlogloss:0.107308+0.003591    test-mlogloss:0.915707+0.055953 
## [93] train-mlogloss:0.105332+0.002919    test-mlogloss:0.917502+0.054023 
## [94] train-mlogloss:0.103744+0.002983    test-mlogloss:0.920231+0.052929 
## [95] train-mlogloss:0.101502+0.002776    test-mlogloss:0.922445+0.053892 
## [96] train-mlogloss:0.099502+0.003027    test-mlogloss:0.924315+0.052082 
## [97] train-mlogloss:0.097618+0.003242    test-mlogloss:0.927420+0.052441 
## [98] train-mlogloss:0.095970+0.003579    test-mlogloss:0.928296+0.052246 
## [99] train-mlogloss:0.094640+0.003604    test-mlogloss:0.929222+0.052259 
## [100]    train-mlogloss:0.093052+0.003317    test-mlogloss:0.933017+0.054159 
## [101]    train-mlogloss:0.091726+0.003478    test-mlogloss:0.936075+0.055384 
## [102]    train-mlogloss:0.090600+0.003403    test-mlogloss:0.937306+0.053130 
## [103]    train-mlogloss:0.089394+0.003750    test-mlogloss:0.938011+0.051961 
## [104]    train-mlogloss:0.088090+0.003866    test-mlogloss:0.941104+0.051383 
## [105]    train-mlogloss:0.086304+0.003958    test-mlogloss:0.946385+0.048939 
## [106]    train-mlogloss:0.084585+0.003855    test-mlogloss:0.949898+0.050067 
## [107]    train-mlogloss:0.083124+0.003710    test-mlogloss:0.952904+0.049979 
## [108]    train-mlogloss:0.081556+0.003818    test-mlogloss:0.956212+0.050464 
## [109]    train-mlogloss:0.080720+0.003668    test-mlogloss:0.958031+0.052187 
## [110]    train-mlogloss:0.079951+0.003686    test-mlogloss:0.960029+0.051821 
## [111]    train-mlogloss:0.078743+0.003801    test-mlogloss:0.962579+0.052746 
## [112]    train-mlogloss:0.077610+0.004085    test-mlogloss:0.964578+0.050152 
## [113]    train-mlogloss:0.076420+0.004082    test-mlogloss:0.967639+0.051005 
## [114]    train-mlogloss:0.075423+0.004231    test-mlogloss:0.968372+0.051755 
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## [500]    train-mlogloss:0.005784+0.000136    test-mlogloss:1.351386+0.036899 
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## [12] train-mlogloss:0.045202+0.002101    test-mlogloss:0.923430+0.056834 
## [13] train-mlogloss:0.042123+0.002124    test-mlogloss:0.932890+0.058851 
## [14] train-mlogloss:0.038970+0.001880    test-mlogloss:0.941265+0.061385 
## [15] train-mlogloss:0.036044+0.001747    test-mlogloss:0.951375+0.061223 
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## [25] train-mlogloss:0.021346+0.000827    test-mlogloss:1.009141+0.063401 
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## [27] train-mlogloss:0.019773+0.000693    test-mlogloss:1.018012+0.062190 
## [28] train-mlogloss:0.019079+0.000656    test-mlogloss:1.021016+0.062791 
## [29] train-mlogloss:0.018457+0.000622    test-mlogloss:1.024628+0.063972 
## [30] train-mlogloss:0.017887+0.000586    test-mlogloss:1.027775+0.064311 
## [31] train-mlogloss:0.017366+0.000532    test-mlogloss:1.032831+0.066536 
## [32] train-mlogloss:0.016865+0.000498    test-mlogloss:1.039793+0.066579 
## [33] train-mlogloss:0.016389+0.000459    test-mlogloss:1.043057+0.065938 
## [34] train-mlogloss:0.015949+0.000454    test-mlogloss:1.045230+0.066574 
## [35] train-mlogloss:0.015560+0.000441    test-mlogloss:1.045838+0.066736 
## [36] train-mlogloss:0.015158+0.000432    test-mlogloss:1.048644+0.067785 
## [37] train-mlogloss:0.014785+0.000413    test-mlogloss:1.051922+0.069509 
## [38] train-mlogloss:0.014427+0.000383    test-mlogloss:1.054459+0.068518 
## [39] train-mlogloss:0.014103+0.000367    test-mlogloss:1.055768+0.069041 
## [40] train-mlogloss:0.013802+0.000363    test-mlogloss:1.058602+0.072047 
## [41] train-mlogloss:0.013501+0.000340    test-mlogloss:1.062853+0.071287 
## [42] train-mlogloss:0.013222+0.000321    test-mlogloss:1.064782+0.073982 
## [43] train-mlogloss:0.012963+0.000323    test-mlogloss:1.066320+0.074623 
## [44] train-mlogloss:0.012703+0.000301    test-mlogloss:1.068685+0.074975 
## [45] train-mlogloss:0.012467+0.000288    test-mlogloss:1.069147+0.074133 
## [46] train-mlogloss:0.012248+0.000266    test-mlogloss:1.071748+0.075296 
## [47] train-mlogloss:0.012015+0.000262    test-mlogloss:1.072645+0.074216 
## [48] train-mlogloss:0.011806+0.000245    test-mlogloss:1.074217+0.075794 
## [49] train-mlogloss:0.011600+0.000238    test-mlogloss:1.077534+0.074956 
## [50] train-mlogloss:0.011402+0.000236    test-mlogloss:1.079018+0.075346 
## [51] train-mlogloss:0.011218+0.000236    test-mlogloss:1.081232+0.075484 
## [52] train-mlogloss:0.011036+0.000230    test-mlogloss:1.084476+0.076340 
## [53] train-mlogloss:0.010860+0.000218    test-mlogloss:1.085441+0.075153 
## [54] train-mlogloss:0.010697+0.000215    test-mlogloss:1.086634+0.074799 
## [55] train-mlogloss:0.010547+0.000215    test-mlogloss:1.088220+0.076039 
## [56] train-mlogloss:0.010392+0.000198    test-mlogloss:1.091372+0.076400 
## [57] train-mlogloss:0.010237+0.000185    test-mlogloss:1.093215+0.077393 
## [58] train-mlogloss:0.010090+0.000177    test-mlogloss:1.093899+0.076714 
## [59] train-mlogloss:0.009967+0.000171    test-mlogloss:1.095811+0.075132 
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## [61] train-mlogloss:0.009716+0.000167    test-mlogloss:1.098043+0.075706 
## [62] train-mlogloss:0.009599+0.000163    test-mlogloss:1.100681+0.076731 
## [63] train-mlogloss:0.009479+0.000158    test-mlogloss:1.101908+0.075804 
## [64] train-mlogloss:0.009363+0.000153    test-mlogloss:1.105366+0.075315 
## [65] train-mlogloss:0.009255+0.000150    test-mlogloss:1.107827+0.075007 
## [66] train-mlogloss:0.009148+0.000145    test-mlogloss:1.108125+0.074925 
## [67] train-mlogloss:0.009046+0.000143    test-mlogloss:1.110513+0.073898 
## [68] train-mlogloss:0.008944+0.000146    test-mlogloss:1.111507+0.075992 
## [69] train-mlogloss:0.008842+0.000149    test-mlogloss:1.112198+0.076662 
## [70] train-mlogloss:0.008745+0.000147    test-mlogloss:1.111586+0.076235 
## [71] train-mlogloss:0.008653+0.000142    test-mlogloss:1.112539+0.076002 
## [72] train-mlogloss:0.008564+0.000138    test-mlogloss:1.114264+0.076465 
## [73] train-mlogloss:0.008476+0.000135    test-mlogloss:1.116763+0.075804 
## [74] train-mlogloss:0.008390+0.000132    test-mlogloss:1.118315+0.078913 
## [75] train-mlogloss:0.008303+0.000123    test-mlogloss:1.119740+0.079580 
## [76] train-mlogloss:0.008221+0.000124    test-mlogloss:1.120160+0.078920 
## [77] train-mlogloss:0.008136+0.000118    test-mlogloss:1.121399+0.079056 
## [78] train-mlogloss:0.008054+0.000118    test-mlogloss:1.122642+0.079055 
## [79] train-mlogloss:0.007975+0.000121    test-mlogloss:1.124054+0.078478 
## [80] train-mlogloss:0.007894+0.000118    test-mlogloss:1.125883+0.078905 
## [81] train-mlogloss:0.007819+0.000115    test-mlogloss:1.126527+0.079729 
## [82] train-mlogloss:0.007746+0.000110    test-mlogloss:1.126691+0.079599 
## [83] train-mlogloss:0.007674+0.000107    test-mlogloss:1.127137+0.079732 
## [84] train-mlogloss:0.007600+0.000108    test-mlogloss:1.128529+0.078905 
## [85] train-mlogloss:0.007536+0.000105    test-mlogloss:1.130466+0.078974 
## [86] train-mlogloss:0.007470+0.000104    test-mlogloss:1.132164+0.080318 
## [87] train-mlogloss:0.007409+0.000100    test-mlogloss:1.133959+0.079960 
## [88] train-mlogloss:0.007344+0.000094    test-mlogloss:1.135553+0.080283 
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## [93] train-mlogloss:0.007058+0.000086    test-mlogloss:1.141765+0.082080 
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## [100]    train-mlogloss:0.006706+0.000090    test-mlogloss:1.149655+0.084551 
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## [442]    train-mlogloss:0.002767+0.000025    test-mlogloss:1.280808+0.097423 
## [443]    train-mlogloss:0.002763+0.000024    test-mlogloss:1.281115+0.097514 
## [444]    train-mlogloss:0.002760+0.000024    test-mlogloss:1.281742+0.097884 
## [445]    train-mlogloss:0.002757+0.000024    test-mlogloss:1.282021+0.098323 
## [446]    train-mlogloss:0.002753+0.000024    test-mlogloss:1.281966+0.098067 
## [447]    train-mlogloss:0.002750+0.000024    test-mlogloss:1.281959+0.097963 
## [448]    train-mlogloss:0.002748+0.000024    test-mlogloss:1.281498+0.097951 
## [449]    train-mlogloss:0.002745+0.000024    test-mlogloss:1.281963+0.097977 
## [450]    train-mlogloss:0.002742+0.000023    test-mlogloss:1.282375+0.097624 
## [451]    train-mlogloss:0.002739+0.000023    test-mlogloss:1.282278+0.097375 
## [452]    train-mlogloss:0.002736+0.000023    test-mlogloss:1.282843+0.097684 
## [453]    train-mlogloss:0.002733+0.000023    test-mlogloss:1.282819+0.097446 
## [454]    train-mlogloss:0.002730+0.000023    test-mlogloss:1.282590+0.097722 
## [455]    train-mlogloss:0.002727+0.000023    test-mlogloss:1.282823+0.097921 
## [456]    train-mlogloss:0.002724+0.000023    test-mlogloss:1.283305+0.098263 
## [457]    train-mlogloss:0.002721+0.000023    test-mlogloss:1.283886+0.098316 
## [458]    train-mlogloss:0.002718+0.000023    test-mlogloss:1.283811+0.098392 
## [459]    train-mlogloss:0.002715+0.000022    test-mlogloss:1.283863+0.097980 
## [460]    train-mlogloss:0.002713+0.000022    test-mlogloss:1.283872+0.098176 
## [461]    train-mlogloss:0.002710+0.000022    test-mlogloss:1.284049+0.098168 
## [462]    train-mlogloss:0.002707+0.000023    test-mlogloss:1.284604+0.097997 
## [463]    train-mlogloss:0.002703+0.000022    test-mlogloss:1.284966+0.098180 
## [464]    train-mlogloss:0.002700+0.000022    test-mlogloss:1.285161+0.098070 
## [465]    train-mlogloss:0.002698+0.000022    test-mlogloss:1.285434+0.098319 
## [466]    train-mlogloss:0.002695+0.000022    test-mlogloss:1.285560+0.098510 
## [467]    train-mlogloss:0.002692+0.000022    test-mlogloss:1.285241+0.098256 
## [468]    train-mlogloss:0.002688+0.000023    test-mlogloss:1.285190+0.098225 
## [469]    train-mlogloss:0.002686+0.000023    test-mlogloss:1.285470+0.098113 
## [470]    train-mlogloss:0.002683+0.000023    test-mlogloss:1.285368+0.097844 
## [471]    train-mlogloss:0.002680+0.000023    test-mlogloss:1.285701+0.097942 
## [472]    train-mlogloss:0.002677+0.000023    test-mlogloss:1.286095+0.097682 
## [473]    train-mlogloss:0.002674+0.000023    test-mlogloss:1.286214+0.097939 
## [474]    train-mlogloss:0.002671+0.000023    test-mlogloss:1.286694+0.097776 
## [475]    train-mlogloss:0.002669+0.000023    test-mlogloss:1.286932+0.098259 
## [476]    train-mlogloss:0.002666+0.000023    test-mlogloss:1.286787+0.098471 
## [477]    train-mlogloss:0.002663+0.000023    test-mlogloss:1.287168+0.098490 
## [478]    train-mlogloss:0.002661+0.000023    test-mlogloss:1.286580+0.097946 
## [479]    train-mlogloss:0.002658+0.000024    test-mlogloss:1.286572+0.098345 
## [480]    train-mlogloss:0.002655+0.000023    test-mlogloss:1.286568+0.098208 
## [481]    train-mlogloss:0.002652+0.000024    test-mlogloss:1.287350+0.098257 
## [482]    train-mlogloss:0.002650+0.000024    test-mlogloss:1.287677+0.098530 
## [483]    train-mlogloss:0.002647+0.000023    test-mlogloss:1.287626+0.098978 
## [484]    train-mlogloss:0.002644+0.000023    test-mlogloss:1.287410+0.098496 
## [485]    train-mlogloss:0.002641+0.000023    test-mlogloss:1.287869+0.098475 
## [486]    train-mlogloss:0.002639+0.000023    test-mlogloss:1.287983+0.098744 
## [487]    train-mlogloss:0.002636+0.000024    test-mlogloss:1.288177+0.098082 
## [488]    train-mlogloss:0.002633+0.000024    test-mlogloss:1.288260+0.097523 
## [489]    train-mlogloss:0.002631+0.000023    test-mlogloss:1.288260+0.098134 
## [490]    train-mlogloss:0.002628+0.000023    test-mlogloss:1.288932+0.098229 
## [491]    train-mlogloss:0.002626+0.000023    test-mlogloss:1.289394+0.098280 
## [492]    train-mlogloss:0.002623+0.000023    test-mlogloss:1.289422+0.098196 
## [493]    train-mlogloss:0.002620+0.000023    test-mlogloss:1.289446+0.098322 
## [494]    train-mlogloss:0.002618+0.000023    test-mlogloss:1.289762+0.098731 
## [495]    train-mlogloss:0.002615+0.000024    test-mlogloss:1.290253+0.098581 
## [496]    train-mlogloss:0.002612+0.000023    test-mlogloss:1.290150+0.098508 
## [497]    train-mlogloss:0.002609+0.000023    test-mlogloss:1.290577+0.097987 
## [498]    train-mlogloss:0.002607+0.000023    test-mlogloss:1.290554+0.098495 
## [499]    train-mlogloss:0.002605+0.000023    test-mlogloss:1.290461+0.098248 
## [500]    train-mlogloss:0.002602+0.000023    test-mlogloss:1.290582+0.098221 
## [1]  train-mlogloss:0.616563+0.003017    test-mlogloss:0.623130+0.004729 
## [2]  train-mlogloss:0.572429+0.003438    test-mlogloss:0.585710+0.009138 
## [3]  train-mlogloss:0.545499+0.004242    test-mlogloss:0.564646+0.010953 
## [4]  train-mlogloss:0.527601+0.004079    test-mlogloss:0.551874+0.013066 
## [5]  train-mlogloss:0.515417+0.003761    test-mlogloss:0.544237+0.015106 
## [6]  train-mlogloss:0.506957+0.004064    test-mlogloss:0.539652+0.016014 
## [7]  train-mlogloss:0.500640+0.004059    test-mlogloss:0.537647+0.017046 
## [8]  train-mlogloss:0.495368+0.004338    test-mlogloss:0.536813+0.017482 
## [9]  train-mlogloss:0.490775+0.004228    test-mlogloss:0.536497+0.017934 
## [10] train-mlogloss:0.487510+0.004301    test-mlogloss:0.535595+0.017522 
## [11] train-mlogloss:0.484131+0.004040    test-mlogloss:0.536348+0.018169 
## [12] train-mlogloss:0.481127+0.004035    test-mlogloss:0.537188+0.018512 
## [13] train-mlogloss:0.478030+0.004037    test-mlogloss:0.537514+0.018845 
## [14] train-mlogloss:0.475784+0.004431    test-mlogloss:0.538049+0.019191 
## [15] train-mlogloss:0.472652+0.004590    test-mlogloss:0.539201+0.019344 
## [16] train-mlogloss:0.469936+0.004944    test-mlogloss:0.539541+0.019147 
## [17] train-mlogloss:0.466969+0.004421    test-mlogloss:0.540409+0.019390 
## [18] train-mlogloss:0.464297+0.004604    test-mlogloss:0.541290+0.019910 
## [19] train-mlogloss:0.460967+0.005040    test-mlogloss:0.541753+0.019802 
## [20] train-mlogloss:0.458590+0.005035    test-mlogloss:0.542880+0.020386 
## [21] train-mlogloss:0.455991+0.005194    test-mlogloss:0.543302+0.020776 
## [22] train-mlogloss:0.453463+0.005620    test-mlogloss:0.543307+0.020784 
## [23] train-mlogloss:0.451511+0.005722    test-mlogloss:0.544187+0.021129 
## [24] train-mlogloss:0.449385+0.005319    test-mlogloss:0.544705+0.021956 
## [25] train-mlogloss:0.446904+0.005217    test-mlogloss:0.545462+0.022196 
## [26] train-mlogloss:0.444802+0.005110    test-mlogloss:0.546667+0.021736 
## [27] train-mlogloss:0.441983+0.005274    test-mlogloss:0.547202+0.021032 
## [28] train-mlogloss:0.439588+0.005442    test-mlogloss:0.547769+0.020814 
## [29] train-mlogloss:0.437061+0.004958    test-mlogloss:0.547501+0.020476 
## [30] train-mlogloss:0.434858+0.005099    test-mlogloss:0.547928+0.021133 
## [31] train-mlogloss:0.433095+0.005145    test-mlogloss:0.548292+0.021594 
## [32] train-mlogloss:0.431157+0.004766    test-mlogloss:0.548900+0.021526 
## [33] train-mlogloss:0.429201+0.004919    test-mlogloss:0.549737+0.021438 
## [34] train-mlogloss:0.427029+0.004945    test-mlogloss:0.550061+0.021790 
## [35] train-mlogloss:0.424713+0.005073    test-mlogloss:0.550915+0.021903 
## [36] train-mlogloss:0.422567+0.004719    test-mlogloss:0.551733+0.021761 
## [37] train-mlogloss:0.420520+0.004885    test-mlogloss:0.552579+0.021966 
## [38] train-mlogloss:0.418710+0.004791    test-mlogloss:0.552406+0.022036 
## [39] train-mlogloss:0.416347+0.004787    test-mlogloss:0.552886+0.022049 
## [40] train-mlogloss:0.414549+0.004868    test-mlogloss:0.553880+0.021795 
## [41] train-mlogloss:0.411932+0.004446    test-mlogloss:0.554362+0.021829 
## [42] train-mlogloss:0.410522+0.004235    test-mlogloss:0.554903+0.022107 
## [43] train-mlogloss:0.408080+0.004398    test-mlogloss:0.555760+0.022518 
## [44] train-mlogloss:0.405993+0.004498    test-mlogloss:0.556484+0.023098 
## [45] train-mlogloss:0.403388+0.005133    test-mlogloss:0.557710+0.023320 
## [46] train-mlogloss:0.400978+0.004834    test-mlogloss:0.558237+0.022747 
## [47] train-mlogloss:0.399020+0.004826    test-mlogloss:0.558555+0.022979 
## [48] train-mlogloss:0.397238+0.004528    test-mlogloss:0.559238+0.023234 
## [49] train-mlogloss:0.395131+0.004288    test-mlogloss:0.560061+0.023041 
## [50] train-mlogloss:0.393190+0.004426    test-mlogloss:0.560818+0.023317 
## [51] train-mlogloss:0.391322+0.004356    test-mlogloss:0.562023+0.023518 
## [52] train-mlogloss:0.389449+0.004454    test-mlogloss:0.562439+0.023549 
## [53] train-mlogloss:0.387628+0.004460    test-mlogloss:0.563161+0.023618 
## [54] train-mlogloss:0.385824+0.004354    test-mlogloss:0.563083+0.023460 
## [55] train-mlogloss:0.383897+0.004689    test-mlogloss:0.563598+0.024110 
## [56] train-mlogloss:0.382177+0.004797    test-mlogloss:0.563867+0.024442 
## [57] train-mlogloss:0.380596+0.005189    test-mlogloss:0.564510+0.024424 
## [58] train-mlogloss:0.378251+0.005377    test-mlogloss:0.564988+0.024372 
## [59] train-mlogloss:0.376524+0.005471    test-mlogloss:0.565761+0.025237 
## [60] train-mlogloss:0.374898+0.005563    test-mlogloss:0.566331+0.024858 
## [61] train-mlogloss:0.373112+0.005694    test-mlogloss:0.567191+0.024590 
## [62] train-mlogloss:0.371410+0.005700    test-mlogloss:0.567840+0.024889 
## [63] train-mlogloss:0.370146+0.005683    test-mlogloss:0.568399+0.024913 
## [64] train-mlogloss:0.368247+0.005615    test-mlogloss:0.568493+0.024991 
## [65] train-mlogloss:0.366501+0.005956    test-mlogloss:0.568702+0.024908 
## [66] train-mlogloss:0.364679+0.005704    test-mlogloss:0.569480+0.024510 
## [67] train-mlogloss:0.363153+0.006033    test-mlogloss:0.569920+0.024433 
## [68] train-mlogloss:0.361383+0.006255    test-mlogloss:0.569974+0.024451 
## [69] train-mlogloss:0.359745+0.006490    test-mlogloss:0.570690+0.025299 
## [70] train-mlogloss:0.357759+0.006315    test-mlogloss:0.570901+0.025309 
## [71] train-mlogloss:0.355949+0.005981    test-mlogloss:0.571150+0.024924 
## [72] train-mlogloss:0.354205+0.006250    test-mlogloss:0.571071+0.024794 
## [73] train-mlogloss:0.352368+0.006426    test-mlogloss:0.571519+0.024960 
## [74] train-mlogloss:0.350625+0.005916    test-mlogloss:0.572260+0.025353 
## [75] train-mlogloss:0.348794+0.005708    test-mlogloss:0.572647+0.025562 
## [76] train-mlogloss:0.347241+0.005395    test-mlogloss:0.573218+0.025680 
## [77] train-mlogloss:0.345639+0.005678    test-mlogloss:0.573567+0.025521 
## [78] train-mlogloss:0.343917+0.006061    test-mlogloss:0.574380+0.025649 
## [79] train-mlogloss:0.342559+0.005803    test-mlogloss:0.574447+0.025073 
## [80] train-mlogloss:0.341209+0.005598    test-mlogloss:0.574516+0.025051 
## [81] train-mlogloss:0.339724+0.005630    test-mlogloss:0.574817+0.025040 
## [82] train-mlogloss:0.338346+0.005599    test-mlogloss:0.576249+0.025078 
## [83] train-mlogloss:0.336591+0.005749    test-mlogloss:0.576748+0.024976 
## [84] train-mlogloss:0.334965+0.005670    test-mlogloss:0.577494+0.024645 
## [85] train-mlogloss:0.333491+0.005605    test-mlogloss:0.578223+0.024452 
## [86] train-mlogloss:0.332285+0.005570    test-mlogloss:0.578859+0.024512 
## [87] train-mlogloss:0.330528+0.005597    test-mlogloss:0.579618+0.024312 
## [88] train-mlogloss:0.329364+0.005694    test-mlogloss:0.579421+0.024449 
## [89] train-mlogloss:0.327837+0.005547    test-mlogloss:0.580050+0.024837 
## [90] train-mlogloss:0.326399+0.005473    test-mlogloss:0.580187+0.024954 
## [91] train-mlogloss:0.325321+0.005553    test-mlogloss:0.580745+0.025233 
## [92] train-mlogloss:0.323811+0.005517    test-mlogloss:0.581096+0.024731 
## [93] train-mlogloss:0.322491+0.005607    test-mlogloss:0.581478+0.024918 
## [94] train-mlogloss:0.321171+0.005708    test-mlogloss:0.581731+0.025111 
## [95] train-mlogloss:0.319959+0.005688    test-mlogloss:0.582321+0.025107 
## [96] train-mlogloss:0.318847+0.005565    test-mlogloss:0.582961+0.025145 
## [97] train-mlogloss:0.317275+0.005635    test-mlogloss:0.583486+0.025158 
## [98] train-mlogloss:0.316139+0.005654    test-mlogloss:0.584356+0.024757 
## [99] train-mlogloss:0.314798+0.005253    test-mlogloss:0.584760+0.024425 
## [100]    train-mlogloss:0.313399+0.005253    test-mlogloss:0.585267+0.024721 
## [101]    train-mlogloss:0.311977+0.005100    test-mlogloss:0.585682+0.024337 
## [102]    train-mlogloss:0.310535+0.005189    test-mlogloss:0.586301+0.024214 
## [103]    train-mlogloss:0.309144+0.005130    test-mlogloss:0.586692+0.024489 
## [104]    train-mlogloss:0.308018+0.005378    test-mlogloss:0.587409+0.024978 
## [105]    train-mlogloss:0.306659+0.005369    test-mlogloss:0.588014+0.024899 
## [106]    train-mlogloss:0.305165+0.005177    test-mlogloss:0.588528+0.024399 
## [107]    train-mlogloss:0.304049+0.005146    test-mlogloss:0.588536+0.024280 
## [108]    train-mlogloss:0.302549+0.005216    test-mlogloss:0.588714+0.024438 
## [109]    train-mlogloss:0.301190+0.005213    test-mlogloss:0.589432+0.024776 
## [110]    train-mlogloss:0.299646+0.005075    test-mlogloss:0.589829+0.024515 
## [111]    train-mlogloss:0.298255+0.005045    test-mlogloss:0.590427+0.024979 
## [112]    train-mlogloss:0.296811+0.005076    test-mlogloss:0.590676+0.025659 
## [113]    train-mlogloss:0.295423+0.004948    test-mlogloss:0.591081+0.025823 
## [114]    train-mlogloss:0.294407+0.005049    test-mlogloss:0.591320+0.026283 
## [115]    train-mlogloss:0.293358+0.004896    test-mlogloss:0.591561+0.026563 
## [116]    train-mlogloss:0.292339+0.004466    test-mlogloss:0.591778+0.026480 
## [117]    train-mlogloss:0.291030+0.004514    test-mlogloss:0.592484+0.026702 
## [118]    train-mlogloss:0.289497+0.004602    test-mlogloss:0.593246+0.026505 
## [119]    train-mlogloss:0.288030+0.004098    test-mlogloss:0.593763+0.026214 
## [120]    train-mlogloss:0.286530+0.003912    test-mlogloss:0.594105+0.026513 
## [121]    train-mlogloss:0.285363+0.003921    test-mlogloss:0.595169+0.026232 
## [122]    train-mlogloss:0.284326+0.003862    test-mlogloss:0.595784+0.026279 
## [123]    train-mlogloss:0.282927+0.003534    test-mlogloss:0.596378+0.025548 
## [124]    train-mlogloss:0.281957+0.003663    test-mlogloss:0.596444+0.025599 
## [125]    train-mlogloss:0.280727+0.003838    test-mlogloss:0.597051+0.025790 
## [126]    train-mlogloss:0.279471+0.003888    test-mlogloss:0.597291+0.025940 
## [127]    train-mlogloss:0.278445+0.003774    test-mlogloss:0.597715+0.026437 
## [128]    train-mlogloss:0.277471+0.003730    test-mlogloss:0.598232+0.026298 
## [129]    train-mlogloss:0.276190+0.003472    test-mlogloss:0.598668+0.026349 
## [130]    train-mlogloss:0.274880+0.003520    test-mlogloss:0.599659+0.026336 
## [131]    train-mlogloss:0.273678+0.003469    test-mlogloss:0.600259+0.026182 
## [132]    train-mlogloss:0.272480+0.003395    test-mlogloss:0.601051+0.026274 
## [133]    train-mlogloss:0.270978+0.003813    test-mlogloss:0.601172+0.026406 
## [134]    train-mlogloss:0.269727+0.003684    test-mlogloss:0.601744+0.026194 
## [135]    train-mlogloss:0.268474+0.003733    test-mlogloss:0.602095+0.025802 
## [136]    train-mlogloss:0.267022+0.003649    test-mlogloss:0.603338+0.026166 
## [137]    train-mlogloss:0.266085+0.003631    test-mlogloss:0.603856+0.026453 
## [138]    train-mlogloss:0.264831+0.003558    test-mlogloss:0.604408+0.026237 
## [139]    train-mlogloss:0.263811+0.003385    test-mlogloss:0.605076+0.026661 
## [140]    train-mlogloss:0.262611+0.003023    test-mlogloss:0.605480+0.025680 
## [141]    train-mlogloss:0.261370+0.003016    test-mlogloss:0.605692+0.025801 
## [142]    train-mlogloss:0.260525+0.002888    test-mlogloss:0.606541+0.025583 
## [143]    train-mlogloss:0.259312+0.002840    test-mlogloss:0.607363+0.025415 
## [144]    train-mlogloss:0.258257+0.002841    test-mlogloss:0.608068+0.025547 
## [145]    train-mlogloss:0.257469+0.003030    test-mlogloss:0.608209+0.025737 
## [146]    train-mlogloss:0.256146+0.003159    test-mlogloss:0.608672+0.025639 
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## [396]    train-mlogloss:0.101944+0.001420    test-mlogloss:0.726775+0.038240 
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## [398]    train-mlogloss:0.101245+0.001379    test-mlogloss:0.727498+0.038104 
## [399]    train-mlogloss:0.100940+0.001382    test-mlogloss:0.727987+0.037840 
## [400]    train-mlogloss:0.100546+0.001346    test-mlogloss:0.728353+0.037747 
## [401]    train-mlogloss:0.100259+0.001315    test-mlogloss:0.728616+0.037640 
## [402]    train-mlogloss:0.099954+0.001271    test-mlogloss:0.728916+0.037666 
## [403]    train-mlogloss:0.099624+0.001284    test-mlogloss:0.729424+0.037497 
## [404]    train-mlogloss:0.099345+0.001269    test-mlogloss:0.729819+0.038060 
## [405]    train-mlogloss:0.098999+0.001300    test-mlogloss:0.730664+0.038077 
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## [407]    train-mlogloss:0.098355+0.001227    test-mlogloss:0.732032+0.039003 
## [408]    train-mlogloss:0.098066+0.001193    test-mlogloss:0.732537+0.038793 
## [409]    train-mlogloss:0.097744+0.001183    test-mlogloss:0.732778+0.039047 
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## [411]    train-mlogloss:0.097166+0.001124    test-mlogloss:0.734225+0.039365 
## [412]    train-mlogloss:0.096861+0.001119    test-mlogloss:0.734542+0.038971 
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## [414]    train-mlogloss:0.096335+0.001099    test-mlogloss:0.734853+0.038755 
## [415]    train-mlogloss:0.096085+0.001121    test-mlogloss:0.735292+0.039252 
## [416]    train-mlogloss:0.095824+0.001097    test-mlogloss:0.735742+0.038989 
## [417]    train-mlogloss:0.095532+0.001090    test-mlogloss:0.736062+0.038972 
## [418]    train-mlogloss:0.095223+0.001129    test-mlogloss:0.736296+0.039001 
## [419]    train-mlogloss:0.094907+0.001173    test-mlogloss:0.736894+0.039188 
## [420]    train-mlogloss:0.094588+0.001248    test-mlogloss:0.737481+0.039104 
## [421]    train-mlogloss:0.094253+0.001183    test-mlogloss:0.737774+0.039110 
## [422]    train-mlogloss:0.093995+0.001164    test-mlogloss:0.738208+0.039207 
## [423]    train-mlogloss:0.093634+0.001218    test-mlogloss:0.738835+0.039879 
## [424]    train-mlogloss:0.093337+0.001243    test-mlogloss:0.739236+0.040133 
## [425]    train-mlogloss:0.093023+0.001309    test-mlogloss:0.739944+0.040052 
## [426]    train-mlogloss:0.092730+0.001310    test-mlogloss:0.740221+0.039995 
## [427]    train-mlogloss:0.092506+0.001324    test-mlogloss:0.740632+0.039671 
## [428]    train-mlogloss:0.092250+0.001352    test-mlogloss:0.741313+0.039046 
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## [432]    train-mlogloss:0.091224+0.001309    test-mlogloss:0.743365+0.039999 
## [433]    train-mlogloss:0.090930+0.001329    test-mlogloss:0.743515+0.040084 
## [434]    train-mlogloss:0.090644+0.001301    test-mlogloss:0.744187+0.040219 
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## [436]    train-mlogloss:0.090103+0.001300    test-mlogloss:0.744558+0.040240 
## [437]    train-mlogloss:0.089814+0.001295    test-mlogloss:0.744762+0.040193 
## [438]    train-mlogloss:0.089506+0.001375    test-mlogloss:0.745307+0.040819 
## [439]    train-mlogloss:0.089300+0.001353    test-mlogloss:0.745926+0.040453 
## [440]    train-mlogloss:0.088994+0.001364    test-mlogloss:0.746405+0.040405 
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## [443]    train-mlogloss:0.088240+0.001275    test-mlogloss:0.748714+0.040058 
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## [445]    train-mlogloss:0.087773+0.001336    test-mlogloss:0.749524+0.040177 
## [446]    train-mlogloss:0.087441+0.001296    test-mlogloss:0.749684+0.040144 
## [447]    train-mlogloss:0.087197+0.001271    test-mlogloss:0.749928+0.040145 
## [448]    train-mlogloss:0.086916+0.001324    test-mlogloss:0.750721+0.040068 
## [449]    train-mlogloss:0.086643+0.001330    test-mlogloss:0.751155+0.040047 
## [450]    train-mlogloss:0.086408+0.001330    test-mlogloss:0.751681+0.039907 
## [451]    train-mlogloss:0.086138+0.001283    test-mlogloss:0.752276+0.039957 
## [452]    train-mlogloss:0.085857+0.001286    test-mlogloss:0.752612+0.040296 
## [453]    train-mlogloss:0.085621+0.001333    test-mlogloss:0.753316+0.040084 
## [454]    train-mlogloss:0.085395+0.001327    test-mlogloss:0.754115+0.040098 
## [455]    train-mlogloss:0.085145+0.001332    test-mlogloss:0.754500+0.040739 
## [456]    train-mlogloss:0.084876+0.001324    test-mlogloss:0.755099+0.040955 
## [457]    train-mlogloss:0.084628+0.001294    test-mlogloss:0.755280+0.040887 
## [458]    train-mlogloss:0.084316+0.001247    test-mlogloss:0.755748+0.040947 
## [459]    train-mlogloss:0.084046+0.001209    test-mlogloss:0.756495+0.041083 
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## [461]    train-mlogloss:0.083562+0.001184    test-mlogloss:0.757074+0.041498 
## [462]    train-mlogloss:0.083256+0.001170    test-mlogloss:0.757323+0.041406 
## [463]    train-mlogloss:0.083018+0.001183    test-mlogloss:0.757636+0.041329 
## [464]    train-mlogloss:0.082830+0.001168    test-mlogloss:0.758279+0.040919 
## [465]    train-mlogloss:0.082582+0.001232    test-mlogloss:0.758109+0.040690 
## [466]    train-mlogloss:0.082307+0.001270    test-mlogloss:0.758548+0.040414 
## [467]    train-mlogloss:0.082066+0.001262    test-mlogloss:0.759159+0.040583 
## [468]    train-mlogloss:0.081844+0.001260    test-mlogloss:0.759499+0.040870 
## [469]    train-mlogloss:0.081612+0.001293    test-mlogloss:0.759947+0.040772 
## [470]    train-mlogloss:0.081341+0.001294    test-mlogloss:0.760317+0.040874 
## [471]    train-mlogloss:0.081102+0.001280    test-mlogloss:0.760606+0.040591 
## [472]    train-mlogloss:0.080840+0.001210    test-mlogloss:0.760923+0.040278 
## [473]    train-mlogloss:0.080620+0.001271    test-mlogloss:0.761567+0.040431 
## [474]    train-mlogloss:0.080330+0.001192    test-mlogloss:0.761766+0.040075 
## [475]    train-mlogloss:0.080083+0.001157    test-mlogloss:0.762271+0.039538 
## [476]    train-mlogloss:0.079870+0.001177    test-mlogloss:0.762315+0.039536 
## [477]    train-mlogloss:0.079630+0.001199    test-mlogloss:0.762805+0.039528 
## [478]    train-mlogloss:0.079417+0.001195    test-mlogloss:0.763553+0.039630 
## [479]    train-mlogloss:0.079157+0.001212    test-mlogloss:0.763733+0.039537 
## [480]    train-mlogloss:0.078965+0.001229    test-mlogloss:0.764084+0.039498 
## [481]    train-mlogloss:0.078763+0.001193    test-mlogloss:0.764201+0.039505 
## [482]    train-mlogloss:0.078585+0.001181    test-mlogloss:0.764284+0.039594 
## [483]    train-mlogloss:0.078369+0.001193    test-mlogloss:0.764635+0.040007 
## [484]    train-mlogloss:0.078141+0.001169    test-mlogloss:0.765474+0.039701 
## [485]    train-mlogloss:0.077963+0.001144    test-mlogloss:0.765868+0.039924 
## [486]    train-mlogloss:0.077759+0.001096    test-mlogloss:0.766303+0.039758 
## [487]    train-mlogloss:0.077547+0.001120    test-mlogloss:0.767122+0.040252 
## [488]    train-mlogloss:0.077297+0.001102    test-mlogloss:0.767065+0.039747 
## [489]    train-mlogloss:0.077121+0.001098    test-mlogloss:0.766613+0.039471 
## [490]    train-mlogloss:0.076911+0.001084    test-mlogloss:0.767010+0.040211 
## [491]    train-mlogloss:0.076637+0.001062    test-mlogloss:0.767177+0.039961 
## [492]    train-mlogloss:0.076398+0.001112    test-mlogloss:0.767949+0.039929 
## [493]    train-mlogloss:0.076222+0.001141    test-mlogloss:0.768440+0.040443 
## [494]    train-mlogloss:0.076034+0.001121    test-mlogloss:0.768735+0.040573 
## [495]    train-mlogloss:0.075798+0.001096    test-mlogloss:0.769445+0.040382 
## [496]    train-mlogloss:0.075622+0.001125    test-mlogloss:0.769591+0.040772 
## [497]    train-mlogloss:0.075436+0.001116    test-mlogloss:0.770029+0.040803 
## [498]    train-mlogloss:0.075234+0.001125    test-mlogloss:0.770744+0.040701 
## [499]    train-mlogloss:0.075063+0.001131    test-mlogloss:0.771368+0.040415 
## [500]    train-mlogloss:0.074830+0.001111    test-mlogloss:0.771436+0.040377 
## [1]  train-mlogloss:0.593654+0.002270    test-mlogloss:0.627717+0.001770 
## [2]  train-mlogloss:0.530172+0.002214    test-mlogloss:0.592951+0.003476 
## [3]  train-mlogloss:0.483506+0.001133    test-mlogloss:0.575147+0.005131 
## [4]  train-mlogloss:0.446766+0.000881    test-mlogloss:0.565632+0.007111 
## [5]  train-mlogloss:0.416631+0.000423    test-mlogloss:0.562235+0.009559 
## [6]  train-mlogloss:0.392200+0.000434    test-mlogloss:0.560917+0.010104 
## [7]  train-mlogloss:0.370508+0.001567    test-mlogloss:0.561207+0.011662 
## [8]  train-mlogloss:0.351667+0.002013    test-mlogloss:0.564613+0.010836 
## [9]  train-mlogloss:0.334759+0.001688    test-mlogloss:0.566460+0.011686 
## [10] train-mlogloss:0.320795+0.002062    test-mlogloss:0.568536+0.011921 
## [11] train-mlogloss:0.307140+0.002928    test-mlogloss:0.572583+0.013768 
## [12] train-mlogloss:0.294597+0.002567    test-mlogloss:0.576163+0.013657 
## [13] train-mlogloss:0.283927+0.001924    test-mlogloss:0.579227+0.014241 
## [14] train-mlogloss:0.273893+0.002066    test-mlogloss:0.581247+0.014688 
## [15] train-mlogloss:0.264575+0.002706    test-mlogloss:0.584125+0.015587 
## [16] train-mlogloss:0.255315+0.002031    test-mlogloss:0.588057+0.017301 
## [17] train-mlogloss:0.246087+0.002166    test-mlogloss:0.591819+0.018128 
## [18] train-mlogloss:0.238174+0.002592    test-mlogloss:0.593994+0.018579 
## [19] train-mlogloss:0.230465+0.002233    test-mlogloss:0.597506+0.018860 
## [20] train-mlogloss:0.223301+0.002635    test-mlogloss:0.599280+0.019495 
## [21] train-mlogloss:0.216277+0.002757    test-mlogloss:0.601080+0.020312 
## [22] train-mlogloss:0.209437+0.002932    test-mlogloss:0.603877+0.020934 
## [23] train-mlogloss:0.202931+0.003454    test-mlogloss:0.607824+0.021583 
## [24] train-mlogloss:0.196772+0.003047    test-mlogloss:0.611083+0.021509 
## [25] train-mlogloss:0.191549+0.003297    test-mlogloss:0.613090+0.022155 
## [26] train-mlogloss:0.186264+0.003406    test-mlogloss:0.615318+0.022657 
## [27] train-mlogloss:0.181144+0.003209    test-mlogloss:0.617904+0.022824 
## [28] train-mlogloss:0.176366+0.003132    test-mlogloss:0.620232+0.023693 
## [29] train-mlogloss:0.171748+0.003344    test-mlogloss:0.623305+0.023628 
## [30] train-mlogloss:0.167062+0.003117    test-mlogloss:0.626546+0.023598 
## [31] train-mlogloss:0.162435+0.003011    test-mlogloss:0.629444+0.024687 
## [32] train-mlogloss:0.158162+0.002768    test-mlogloss:0.631951+0.024960 
## [33] train-mlogloss:0.154355+0.002668    test-mlogloss:0.634825+0.025185 
## [34] train-mlogloss:0.150345+0.002742    test-mlogloss:0.636257+0.025090 
## [35] train-mlogloss:0.147200+0.002890    test-mlogloss:0.638709+0.025796 
## [36] train-mlogloss:0.143436+0.002758    test-mlogloss:0.640946+0.024933 
## [37] train-mlogloss:0.140019+0.002727    test-mlogloss:0.642875+0.024974 
## [38] train-mlogloss:0.136756+0.002447    test-mlogloss:0.644370+0.024517 
## [39] train-mlogloss:0.133744+0.002230    test-mlogloss:0.647192+0.024861 
## [40] train-mlogloss:0.130685+0.002117    test-mlogloss:0.648437+0.024469 
## [41] train-mlogloss:0.127781+0.002142    test-mlogloss:0.651128+0.023830 
## [42] train-mlogloss:0.125086+0.002110    test-mlogloss:0.653389+0.023805 
## [43] train-mlogloss:0.122521+0.002072    test-mlogloss:0.655829+0.024536 
## [44] train-mlogloss:0.120052+0.001953    test-mlogloss:0.657150+0.024580 
## [45] train-mlogloss:0.117547+0.001955    test-mlogloss:0.659780+0.024954 
## [46] train-mlogloss:0.115155+0.001884    test-mlogloss:0.662041+0.025908 
## [47] train-mlogloss:0.112960+0.001847    test-mlogloss:0.663289+0.026007 
## [48] train-mlogloss:0.111032+0.001716    test-mlogloss:0.665661+0.025484 
## [49] train-mlogloss:0.108877+0.001746    test-mlogloss:0.667504+0.025190 
## [50] train-mlogloss:0.106899+0.001666    test-mlogloss:0.669988+0.024853 
## [51] train-mlogloss:0.104927+0.001653    test-mlogloss:0.671515+0.025118 
## [52] train-mlogloss:0.103026+0.001688    test-mlogloss:0.672508+0.024999 
## [53] train-mlogloss:0.101172+0.001556    test-mlogloss:0.674194+0.025287 
## [54] train-mlogloss:0.099531+0.001608    test-mlogloss:0.676120+0.026413 
## [55] train-mlogloss:0.097832+0.001481    test-mlogloss:0.677488+0.025962 
## [56] train-mlogloss:0.096177+0.001504    test-mlogloss:0.679796+0.026033 
## [57] train-mlogloss:0.094540+0.001392    test-mlogloss:0.682158+0.026352 
## [58] train-mlogloss:0.093012+0.001295    test-mlogloss:0.684539+0.026025 
## [59] train-mlogloss:0.091523+0.001268    test-mlogloss:0.686120+0.025287 
## [60] train-mlogloss:0.090141+0.001292    test-mlogloss:0.687301+0.025295 
## [61] train-mlogloss:0.088772+0.001227    test-mlogloss:0.688809+0.025537 
## [62] train-mlogloss:0.087486+0.001271    test-mlogloss:0.690934+0.025531 
## [63] train-mlogloss:0.086142+0.001247    test-mlogloss:0.693191+0.025501 
## [64] train-mlogloss:0.084839+0.001233    test-mlogloss:0.694387+0.026012 
## [65] train-mlogloss:0.083576+0.001226    test-mlogloss:0.695774+0.026161 
## [66] train-mlogloss:0.082390+0.001169    test-mlogloss:0.696745+0.026389 
## [67] train-mlogloss:0.081242+0.001166    test-mlogloss:0.698931+0.026856 
## [68] train-mlogloss:0.080083+0.001130    test-mlogloss:0.700471+0.026988 
## [69] train-mlogloss:0.079010+0.001088    test-mlogloss:0.701635+0.026750 
## [70] train-mlogloss:0.077944+0.001018    test-mlogloss:0.703236+0.026787 
## [71] train-mlogloss:0.076925+0.001023    test-mlogloss:0.704299+0.026444 
## [72] train-mlogloss:0.075893+0.001058    test-mlogloss:0.706592+0.026400 
## [73] train-mlogloss:0.074902+0.001074    test-mlogloss:0.708223+0.026198 
## [74] train-mlogloss:0.073986+0.001076    test-mlogloss:0.710212+0.025846 
## [75] train-mlogloss:0.073060+0.001069    test-mlogloss:0.711364+0.025564 
## [76] train-mlogloss:0.072161+0.001037    test-mlogloss:0.712395+0.025868 
## [77] train-mlogloss:0.071318+0.000966    test-mlogloss:0.713324+0.025995 
## [78] train-mlogloss:0.070426+0.000937    test-mlogloss:0.714027+0.026703 
## [79] train-mlogloss:0.069623+0.000910    test-mlogloss:0.715785+0.027268 
## [80] train-mlogloss:0.068800+0.000923    test-mlogloss:0.717218+0.027509 
## [81] train-mlogloss:0.067996+0.000924    test-mlogloss:0.718539+0.027613 
## [82] train-mlogloss:0.067248+0.000877    test-mlogloss:0.719107+0.027825 
## [83] train-mlogloss:0.066415+0.000823    test-mlogloss:0.720314+0.027411 
## [84] train-mlogloss:0.065688+0.000830    test-mlogloss:0.721847+0.027610 
## [85] train-mlogloss:0.064933+0.000822    test-mlogloss:0.723296+0.028184 
## [86] train-mlogloss:0.064265+0.000840    test-mlogloss:0.724289+0.028208 
## [87] train-mlogloss:0.063563+0.000805    test-mlogloss:0.725335+0.027811 
## [88] train-mlogloss:0.062921+0.000823    test-mlogloss:0.726749+0.027012 
## [89] train-mlogloss:0.062250+0.000797    test-mlogloss:0.727642+0.027503 
## [90] train-mlogloss:0.061630+0.000794    test-mlogloss:0.729404+0.027967 
## [91] train-mlogloss:0.060988+0.000768    test-mlogloss:0.731283+0.028369 
## [92] train-mlogloss:0.060389+0.000738    test-mlogloss:0.732627+0.029046 
## [93] train-mlogloss:0.059765+0.000739    test-mlogloss:0.733804+0.029236 
## [94] train-mlogloss:0.059175+0.000733    test-mlogloss:0.734956+0.028479 
## [95] train-mlogloss:0.058596+0.000729    test-mlogloss:0.735845+0.029325 
## [96] train-mlogloss:0.058026+0.000754    test-mlogloss:0.736987+0.029423 
## [97] train-mlogloss:0.057525+0.000755    test-mlogloss:0.737849+0.029174 
## [98] train-mlogloss:0.056948+0.000746    test-mlogloss:0.738991+0.028604 
## [99] train-mlogloss:0.056440+0.000738    test-mlogloss:0.739759+0.028243 
## [100]    train-mlogloss:0.055883+0.000690    test-mlogloss:0.740770+0.027960 
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## [102]    train-mlogloss:0.054842+0.000648    test-mlogloss:0.742330+0.027671 
## [103]    train-mlogloss:0.054385+0.000626    test-mlogloss:0.743359+0.028100 
## [104]    train-mlogloss:0.053897+0.000599    test-mlogloss:0.744163+0.027483 
## [105]    train-mlogloss:0.053434+0.000631    test-mlogloss:0.745814+0.028306 
## [106]    train-mlogloss:0.052971+0.000669    test-mlogloss:0.746442+0.028594 
## [107]    train-mlogloss:0.052528+0.000680    test-mlogloss:0.746615+0.028572 
## [108]    train-mlogloss:0.052080+0.000665    test-mlogloss:0.747541+0.028421 
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## [115]    train-mlogloss:0.049222+0.000588    test-mlogloss:0.753330+0.029617 
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## [471]    train-mlogloss:0.015949+0.000112    test-mlogloss:0.915608+0.038346 
## [472]    train-mlogloss:0.015928+0.000111    test-mlogloss:0.916184+0.038046 
## [473]    train-mlogloss:0.015907+0.000109    test-mlogloss:0.916601+0.038230 
## [474]    train-mlogloss:0.015882+0.000111    test-mlogloss:0.916480+0.038312 
## [475]    train-mlogloss:0.015859+0.000108    test-mlogloss:0.916688+0.038346 
## [476]    train-mlogloss:0.015836+0.000107    test-mlogloss:0.917322+0.038205 
## [477]    train-mlogloss:0.015813+0.000109    test-mlogloss:0.917253+0.038204 
## [478]    train-mlogloss:0.015791+0.000107    test-mlogloss:0.917460+0.038584 
## [479]    train-mlogloss:0.015767+0.000107    test-mlogloss:0.917557+0.038458 
## [480]    train-mlogloss:0.015741+0.000108    test-mlogloss:0.917572+0.038238 
## [481]    train-mlogloss:0.015719+0.000110    test-mlogloss:0.917711+0.038401 
## [482]    train-mlogloss:0.015697+0.000110    test-mlogloss:0.917939+0.038478 
## [483]    train-mlogloss:0.015673+0.000111    test-mlogloss:0.918301+0.038552 
## [484]    train-mlogloss:0.015653+0.000111    test-mlogloss:0.918806+0.038952 
## [485]    train-mlogloss:0.015632+0.000110    test-mlogloss:0.918992+0.038895 
## [486]    train-mlogloss:0.015607+0.000109    test-mlogloss:0.919183+0.039222 
## [487]    train-mlogloss:0.015584+0.000106    test-mlogloss:0.919169+0.038858 
## [488]    train-mlogloss:0.015561+0.000105    test-mlogloss:0.919698+0.038986 
## [489]    train-mlogloss:0.015539+0.000105    test-mlogloss:0.919669+0.039129 
## [490]    train-mlogloss:0.015516+0.000104    test-mlogloss:0.919980+0.038900 
## [491]    train-mlogloss:0.015491+0.000103    test-mlogloss:0.920402+0.038866 
## [492]    train-mlogloss:0.015467+0.000100    test-mlogloss:0.920586+0.039296 
## [493]    train-mlogloss:0.015448+0.000099    test-mlogloss:0.921033+0.039258 
## [494]    train-mlogloss:0.015428+0.000102    test-mlogloss:0.921071+0.039436 
## [495]    train-mlogloss:0.015406+0.000102    test-mlogloss:0.921529+0.038979 
## [496]    train-mlogloss:0.015388+0.000101    test-mlogloss:0.921710+0.039048 
## [497]    train-mlogloss:0.015369+0.000101    test-mlogloss:0.921923+0.039119 
## [498]    train-mlogloss:0.015348+0.000102    test-mlogloss:0.922255+0.038934 
## [499]    train-mlogloss:0.015326+0.000103    test-mlogloss:0.922446+0.039059 
## [500]    train-mlogloss:0.015304+0.000104    test-mlogloss:0.922628+0.038610 
## [1]  train-mlogloss:0.540189+0.002872    test-mlogloss:0.557986+0.008231 
## [2]  train-mlogloss:0.510774+0.002628    test-mlogloss:0.543000+0.007870 
## [3]  train-mlogloss:0.499609+0.001851    test-mlogloss:0.540639+0.009435 
## [4]  train-mlogloss:0.491170+0.002459    test-mlogloss:0.541824+0.013152 
## [5]  train-mlogloss:0.485282+0.003187    test-mlogloss:0.545629+0.013877 
## [6]  train-mlogloss:0.478713+0.003301    test-mlogloss:0.549446+0.013850 
## [7]  train-mlogloss:0.472944+0.004808    test-mlogloss:0.551827+0.014608 
## [8]  train-mlogloss:0.465258+0.004662    test-mlogloss:0.555578+0.014157 
## [9]  train-mlogloss:0.458436+0.004727    test-mlogloss:0.559306+0.013627 
## [10] train-mlogloss:0.451794+0.004282    test-mlogloss:0.563828+0.012998 
## [11] train-mlogloss:0.445928+0.005859    test-mlogloss:0.567781+0.014141 
## [12] train-mlogloss:0.441152+0.006539    test-mlogloss:0.571058+0.014982 
## [13] train-mlogloss:0.435467+0.005944    test-mlogloss:0.574614+0.017003 
## [14] train-mlogloss:0.430634+0.005981    test-mlogloss:0.578538+0.016321 
## [15] train-mlogloss:0.425384+0.005941    test-mlogloss:0.582343+0.016939 
## [16] train-mlogloss:0.419772+0.006261    test-mlogloss:0.586955+0.018029 
## [17] train-mlogloss:0.415053+0.006084    test-mlogloss:0.588450+0.017737 
## [18] train-mlogloss:0.410840+0.006158    test-mlogloss:0.590953+0.018067 
## [19] train-mlogloss:0.404617+0.005152    test-mlogloss:0.593563+0.018096 
## [20] train-mlogloss:0.400954+0.005481    test-mlogloss:0.594951+0.018317 
## [21] train-mlogloss:0.396560+0.005943    test-mlogloss:0.596572+0.018278 
## [22] train-mlogloss:0.391242+0.005029    test-mlogloss:0.599322+0.018460 
## [23] train-mlogloss:0.385879+0.004772    test-mlogloss:0.602288+0.018999 
## [24] train-mlogloss:0.381602+0.005510    test-mlogloss:0.604058+0.020905 
## [25] train-mlogloss:0.377317+0.005319    test-mlogloss:0.607838+0.021638 
## [26] train-mlogloss:0.373017+0.005321    test-mlogloss:0.611387+0.019612 
## [27] train-mlogloss:0.369630+0.006101    test-mlogloss:0.612694+0.019051 
## [28] train-mlogloss:0.365829+0.005783    test-mlogloss:0.615887+0.019037 
## [29] train-mlogloss:0.361973+0.005942    test-mlogloss:0.619003+0.016120 
## [30] train-mlogloss:0.357169+0.005999    test-mlogloss:0.622412+0.017221 
## [31] train-mlogloss:0.352585+0.005538    test-mlogloss:0.625427+0.016659 
## [32] train-mlogloss:0.348200+0.005327    test-mlogloss:0.629941+0.016527 
## [33] train-mlogloss:0.344139+0.006614    test-mlogloss:0.633096+0.019292 
## [34] train-mlogloss:0.339762+0.006515    test-mlogloss:0.636298+0.017832 
## [35] train-mlogloss:0.336319+0.006256    test-mlogloss:0.637572+0.018728 
## [36] train-mlogloss:0.332220+0.006073    test-mlogloss:0.639486+0.018538 
## [37] train-mlogloss:0.328691+0.006221    test-mlogloss:0.641535+0.019369 
## [38] train-mlogloss:0.324623+0.005584    test-mlogloss:0.643856+0.019240 
## [39] train-mlogloss:0.321460+0.005414    test-mlogloss:0.646829+0.021834 
## [40] train-mlogloss:0.318106+0.005424    test-mlogloss:0.649618+0.023893 
## [41] train-mlogloss:0.314738+0.005810    test-mlogloss:0.652071+0.025252 
## [42] train-mlogloss:0.310504+0.005987    test-mlogloss:0.655768+0.027057 
## [43] train-mlogloss:0.307028+0.006140    test-mlogloss:0.657858+0.025976 
## [44] train-mlogloss:0.303936+0.004874    test-mlogloss:0.659649+0.025664 
## [45] train-mlogloss:0.300965+0.005208    test-mlogloss:0.659783+0.026489 
## [46] train-mlogloss:0.297903+0.005307    test-mlogloss:0.662536+0.028921 
## [47] train-mlogloss:0.294474+0.005961    test-mlogloss:0.663788+0.029633 
## [48] train-mlogloss:0.291317+0.005446    test-mlogloss:0.664327+0.031635 
## [49] train-mlogloss:0.288349+0.005598    test-mlogloss:0.666474+0.031221 
## [50] train-mlogloss:0.285169+0.005973    test-mlogloss:0.668610+0.031624 
## [51] train-mlogloss:0.281873+0.006115    test-mlogloss:0.671815+0.030722 
## [52] train-mlogloss:0.278812+0.005525    test-mlogloss:0.674534+0.029748 
## [53] train-mlogloss:0.276395+0.006384    test-mlogloss:0.675340+0.028720 
## [54] train-mlogloss:0.273582+0.006726    test-mlogloss:0.677680+0.029001 
## [55] train-mlogloss:0.270712+0.007317    test-mlogloss:0.680348+0.027407 
## [56] train-mlogloss:0.266982+0.007120    test-mlogloss:0.682727+0.026889 
## [57] train-mlogloss:0.263941+0.006802    test-mlogloss:0.684836+0.027592 
## [58] train-mlogloss:0.261323+0.006714    test-mlogloss:0.685236+0.027282 
## [59] train-mlogloss:0.258181+0.006498    test-mlogloss:0.687362+0.027487 
## [60] train-mlogloss:0.255121+0.006199    test-mlogloss:0.689442+0.027677 
## [61] train-mlogloss:0.252295+0.006187    test-mlogloss:0.692501+0.029627 
## [62] train-mlogloss:0.249096+0.006422    test-mlogloss:0.694570+0.028515 
## [63] train-mlogloss:0.246376+0.006539    test-mlogloss:0.695858+0.029489 
## [64] train-mlogloss:0.243407+0.007325    test-mlogloss:0.697898+0.028668 
## [65] train-mlogloss:0.240993+0.007202    test-mlogloss:0.699745+0.030199 
## [66] train-mlogloss:0.238307+0.006672    test-mlogloss:0.702135+0.029478 
## [67] train-mlogloss:0.235915+0.006459    test-mlogloss:0.704484+0.030085 
## [68] train-mlogloss:0.232905+0.006103    test-mlogloss:0.707377+0.030918 
## [69] train-mlogloss:0.230694+0.006116    test-mlogloss:0.709282+0.031161 
## [70] train-mlogloss:0.227991+0.005998    test-mlogloss:0.712461+0.031366 
## [71] train-mlogloss:0.225152+0.006317    test-mlogloss:0.714594+0.032572 
## [72] train-mlogloss:0.222954+0.006710    test-mlogloss:0.717344+0.033865 
## [73] train-mlogloss:0.220470+0.006720    test-mlogloss:0.717963+0.033129 
## [74] train-mlogloss:0.218253+0.007186    test-mlogloss:0.721245+0.034799 
## [75] train-mlogloss:0.215936+0.007345    test-mlogloss:0.720580+0.035155 
## [76] train-mlogloss:0.213686+0.007488    test-mlogloss:0.723518+0.034893 
## [77] train-mlogloss:0.211572+0.007243    test-mlogloss:0.726330+0.035696 
## [78] train-mlogloss:0.209401+0.007247    test-mlogloss:0.727922+0.034851 
## [79] train-mlogloss:0.207505+0.007590    test-mlogloss:0.729616+0.036339 
## [80] train-mlogloss:0.205608+0.007326    test-mlogloss:0.730887+0.036944 
## [81] train-mlogloss:0.203511+0.006957    test-mlogloss:0.733024+0.035954 
## [82] train-mlogloss:0.200955+0.006434    test-mlogloss:0.736151+0.036378 
## [83] train-mlogloss:0.198752+0.005714    test-mlogloss:0.736485+0.036891 
## [84] train-mlogloss:0.196286+0.005451    test-mlogloss:0.739643+0.036291 
## [85] train-mlogloss:0.194342+0.005458    test-mlogloss:0.742275+0.036607 
## [86] train-mlogloss:0.191899+0.005822    test-mlogloss:0.743478+0.037446 
## [87] train-mlogloss:0.189557+0.005612    test-mlogloss:0.743570+0.037929 
## [88] train-mlogloss:0.187910+0.005517    test-mlogloss:0.744072+0.037752 
## [89] train-mlogloss:0.186050+0.005485    test-mlogloss:0.746106+0.038746 
## [90] train-mlogloss:0.184302+0.005585    test-mlogloss:0.747209+0.037414 
## [91] train-mlogloss:0.182131+0.005347    test-mlogloss:0.749903+0.039348 
## [92] train-mlogloss:0.180294+0.004810    test-mlogloss:0.751922+0.039096 
## [93] train-mlogloss:0.178598+0.005122    test-mlogloss:0.753082+0.038507 
## [94] train-mlogloss:0.176950+0.005271    test-mlogloss:0.755012+0.037629 
## [95] train-mlogloss:0.175175+0.005334    test-mlogloss:0.757476+0.039735 
## [96] train-mlogloss:0.173754+0.005503    test-mlogloss:0.758203+0.039591 
## [97] train-mlogloss:0.171798+0.005407    test-mlogloss:0.760217+0.040200 
## [98] train-mlogloss:0.170278+0.005490    test-mlogloss:0.761607+0.040093 
## [99] train-mlogloss:0.168363+0.005487    test-mlogloss:0.762753+0.040446 
## [100]    train-mlogloss:0.166695+0.005732    test-mlogloss:0.764214+0.040308 
## [101]    train-mlogloss:0.164994+0.005962    test-mlogloss:0.768737+0.039681 
## [102]    train-mlogloss:0.163370+0.005866    test-mlogloss:0.770156+0.040303 
## [103]    train-mlogloss:0.161803+0.006091    test-mlogloss:0.771585+0.039546 
## [104]    train-mlogloss:0.160046+0.006251    test-mlogloss:0.773061+0.039074 
## [105]    train-mlogloss:0.158530+0.006094    test-mlogloss:0.774901+0.038780 
## [106]    train-mlogloss:0.156650+0.006047    test-mlogloss:0.777044+0.038307 
## [107]    train-mlogloss:0.155052+0.006158    test-mlogloss:0.777747+0.036228 
## [108]    train-mlogloss:0.153476+0.006102    test-mlogloss:0.779943+0.035268 
## [109]    train-mlogloss:0.152052+0.005883    test-mlogloss:0.781524+0.036232 
## [110]    train-mlogloss:0.150452+0.005577    test-mlogloss:0.784535+0.033866 
## [111]    train-mlogloss:0.149133+0.005398    test-mlogloss:0.786123+0.033976 
## [112]    train-mlogloss:0.147878+0.005359    test-mlogloss:0.786797+0.034351 
## [113]    train-mlogloss:0.146677+0.005526    test-mlogloss:0.788673+0.036262 
## [114]    train-mlogloss:0.145236+0.005517    test-mlogloss:0.790402+0.035483 
## [115]    train-mlogloss:0.144046+0.005396    test-mlogloss:0.792130+0.036372 
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## [119]    train-mlogloss:0.138805+0.005523    test-mlogloss:0.799061+0.036697 
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## [121]    train-mlogloss:0.136166+0.005640    test-mlogloss:0.803939+0.037338 
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## [128]    train-mlogloss:0.126919+0.004564    test-mlogloss:0.815799+0.036075 
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## [134]    train-mlogloss:0.119698+0.004034    test-mlogloss:0.824406+0.038564 
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## [384]    train-mlogloss:0.026207+0.000681    test-mlogloss:1.070424+0.045160 
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## [396]    train-mlogloss:0.025081+0.000593    test-mlogloss:1.073652+0.046463 
## [397]    train-mlogloss:0.024996+0.000601    test-mlogloss:1.074351+0.047069 
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## [399]    train-mlogloss:0.024796+0.000626    test-mlogloss:1.076038+0.047216 
## [400]    train-mlogloss:0.024721+0.000615    test-mlogloss:1.076484+0.046752 
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## [405]    train-mlogloss:0.024280+0.000620    test-mlogloss:1.081145+0.045959 
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## [407]    train-mlogloss:0.024157+0.000615    test-mlogloss:1.081632+0.046243 
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## [409]    train-mlogloss:0.023996+0.000614    test-mlogloss:1.083653+0.046493 
## [410]    train-mlogloss:0.023943+0.000631    test-mlogloss:1.084515+0.046387 
## [411]    train-mlogloss:0.023854+0.000645    test-mlogloss:1.084795+0.047417 
## [412]    train-mlogloss:0.023807+0.000648    test-mlogloss:1.084828+0.047723 
## [413]    train-mlogloss:0.023726+0.000646    test-mlogloss:1.084980+0.047876 
## [414]    train-mlogloss:0.023644+0.000612    test-mlogloss:1.085376+0.048576 
## [415]    train-mlogloss:0.023553+0.000615    test-mlogloss:1.086279+0.048285 
## [416]    train-mlogloss:0.023475+0.000623    test-mlogloss:1.086462+0.048475 
## [417]    train-mlogloss:0.023411+0.000623    test-mlogloss:1.087119+0.048141 
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## [419]    train-mlogloss:0.023260+0.000601    test-mlogloss:1.087744+0.048716 
## [420]    train-mlogloss:0.023196+0.000606    test-mlogloss:1.087093+0.048104 
## [421]    train-mlogloss:0.023123+0.000611    test-mlogloss:1.086837+0.048860 
## [422]    train-mlogloss:0.023071+0.000611    test-mlogloss:1.086836+0.048543 
## [423]    train-mlogloss:0.023018+0.000600    test-mlogloss:1.087730+0.048683 
## [424]    train-mlogloss:0.022948+0.000598    test-mlogloss:1.087653+0.049192 
## [425]    train-mlogloss:0.022882+0.000575    test-mlogloss:1.088342+0.048741 
## [426]    train-mlogloss:0.022803+0.000541    test-mlogloss:1.088829+0.047693 
## [427]    train-mlogloss:0.022726+0.000546    test-mlogloss:1.089779+0.047668 
## [428]    train-mlogloss:0.022653+0.000519    test-mlogloss:1.090185+0.048377 
## [429]    train-mlogloss:0.022583+0.000524    test-mlogloss:1.090179+0.049263 
## [430]    train-mlogloss:0.022505+0.000525    test-mlogloss:1.090288+0.049960 
## [431]    train-mlogloss:0.022451+0.000520    test-mlogloss:1.091375+0.050389 
## [432]    train-mlogloss:0.022381+0.000512    test-mlogloss:1.092713+0.050220 
## [433]    train-mlogloss:0.022311+0.000526    test-mlogloss:1.094219+0.049366 
## [434]    train-mlogloss:0.022241+0.000521    test-mlogloss:1.093199+0.048787 
## [435]    train-mlogloss:0.022170+0.000496    test-mlogloss:1.094765+0.049787 
## [436]    train-mlogloss:0.022091+0.000475    test-mlogloss:1.095079+0.050481 
## [437]    train-mlogloss:0.022002+0.000477    test-mlogloss:1.096098+0.050342 
## [438]    train-mlogloss:0.021944+0.000477    test-mlogloss:1.095683+0.050295 
## [439]    train-mlogloss:0.021867+0.000493    test-mlogloss:1.096230+0.050147 
## [440]    train-mlogloss:0.021796+0.000478    test-mlogloss:1.097197+0.051417 
## [441]    train-mlogloss:0.021737+0.000458    test-mlogloss:1.098263+0.050937 
## [442]    train-mlogloss:0.021657+0.000487    test-mlogloss:1.098822+0.050320 
## [443]    train-mlogloss:0.021606+0.000484    test-mlogloss:1.099627+0.050137 
## [444]    train-mlogloss:0.021544+0.000471    test-mlogloss:1.100712+0.049970 
## [445]    train-mlogloss:0.021489+0.000465    test-mlogloss:1.101616+0.050003 
## [446]    train-mlogloss:0.021422+0.000449    test-mlogloss:1.102113+0.049776 
## [447]    train-mlogloss:0.021358+0.000450    test-mlogloss:1.103123+0.050139 
## [448]    train-mlogloss:0.021292+0.000436    test-mlogloss:1.103568+0.050288 
## [449]    train-mlogloss:0.021239+0.000423    test-mlogloss:1.104215+0.050709 
## [450]    train-mlogloss:0.021160+0.000406    test-mlogloss:1.103368+0.050415 
## [451]    train-mlogloss:0.021093+0.000396    test-mlogloss:1.103834+0.050985 
## [452]    train-mlogloss:0.021010+0.000393    test-mlogloss:1.105113+0.051500 
## [453]    train-mlogloss:0.020957+0.000395    test-mlogloss:1.105449+0.051847 
## [454]    train-mlogloss:0.020897+0.000392    test-mlogloss:1.106652+0.051700 
## [455]    train-mlogloss:0.020821+0.000393    test-mlogloss:1.107382+0.051776 
## [456]    train-mlogloss:0.020772+0.000404    test-mlogloss:1.108795+0.052846 
## [457]    train-mlogloss:0.020702+0.000377    test-mlogloss:1.109752+0.052056 
## [458]    train-mlogloss:0.020616+0.000373    test-mlogloss:1.109799+0.052780 
## [459]    train-mlogloss:0.020573+0.000374    test-mlogloss:1.109382+0.052873 
## [460]    train-mlogloss:0.020504+0.000373    test-mlogloss:1.110449+0.052896 
## [461]    train-mlogloss:0.020452+0.000348    test-mlogloss:1.111086+0.052500 
## [462]    train-mlogloss:0.020392+0.000328    test-mlogloss:1.112181+0.052248 
## [463]    train-mlogloss:0.020334+0.000322    test-mlogloss:1.112286+0.051919 
## [464]    train-mlogloss:0.020276+0.000322    test-mlogloss:1.113117+0.052447 
## [465]    train-mlogloss:0.020211+0.000322    test-mlogloss:1.113588+0.052624 
## [466]    train-mlogloss:0.020143+0.000299    test-mlogloss:1.114632+0.053448 
## [467]    train-mlogloss:0.020086+0.000297    test-mlogloss:1.114654+0.052571 
## [468]    train-mlogloss:0.020019+0.000286    test-mlogloss:1.114902+0.052249 
## [469]    train-mlogloss:0.019961+0.000283    test-mlogloss:1.115222+0.051324 
## [470]    train-mlogloss:0.019904+0.000284    test-mlogloss:1.115014+0.052023 
## [471]    train-mlogloss:0.019853+0.000285    test-mlogloss:1.116039+0.051349 
## [472]    train-mlogloss:0.019791+0.000279    test-mlogloss:1.116501+0.051548 
## [473]    train-mlogloss:0.019726+0.000261    test-mlogloss:1.118500+0.051837 
## [474]    train-mlogloss:0.019678+0.000249    test-mlogloss:1.117607+0.051335 
## [475]    train-mlogloss:0.019632+0.000242    test-mlogloss:1.118679+0.051621 
## [476]    train-mlogloss:0.019564+0.000230    test-mlogloss:1.119675+0.052133 
## [477]    train-mlogloss:0.019509+0.000240    test-mlogloss:1.121097+0.053213 
## [478]    train-mlogloss:0.019445+0.000235    test-mlogloss:1.120983+0.052849 
## [479]    train-mlogloss:0.019389+0.000230    test-mlogloss:1.121438+0.053672 
## [480]    train-mlogloss:0.019337+0.000224    test-mlogloss:1.122660+0.053353 
## [481]    train-mlogloss:0.019261+0.000215    test-mlogloss:1.122683+0.051762 
## [482]    train-mlogloss:0.019207+0.000224    test-mlogloss:1.121746+0.051983 
## [483]    train-mlogloss:0.019157+0.000223    test-mlogloss:1.121655+0.051318 
## [484]    train-mlogloss:0.019111+0.000230    test-mlogloss:1.122195+0.051554 
## [485]    train-mlogloss:0.019046+0.000230    test-mlogloss:1.121779+0.051947 
## [486]    train-mlogloss:0.018993+0.000227    test-mlogloss:1.121344+0.052170 
## [487]    train-mlogloss:0.018955+0.000244    test-mlogloss:1.120778+0.052154 
## [488]    train-mlogloss:0.018912+0.000239    test-mlogloss:1.121145+0.052111 
## [489]    train-mlogloss:0.018859+0.000220    test-mlogloss:1.121955+0.051239 
## [490]    train-mlogloss:0.018800+0.000212    test-mlogloss:1.123287+0.051879 
## [491]    train-mlogloss:0.018736+0.000188    test-mlogloss:1.123177+0.051526 
## [492]    train-mlogloss:0.018678+0.000190    test-mlogloss:1.124043+0.050983 
## [493]    train-mlogloss:0.018643+0.000181    test-mlogloss:1.124196+0.051463 
## [494]    train-mlogloss:0.018603+0.000168    test-mlogloss:1.124200+0.050788 
## [495]    train-mlogloss:0.018561+0.000166    test-mlogloss:1.125118+0.050357 
## [496]    train-mlogloss:0.018495+0.000169    test-mlogloss:1.126809+0.050711 
## [497]    train-mlogloss:0.018446+0.000156    test-mlogloss:1.126856+0.051454 
## [498]    train-mlogloss:0.018388+0.000140    test-mlogloss:1.125947+0.051106 
## [499]    train-mlogloss:0.018340+0.000153    test-mlogloss:1.126321+0.050708 
## [500]    train-mlogloss:0.018283+0.000155    test-mlogloss:1.127108+0.050855 
## [1]  train-mlogloss:0.489650+0.003332    test-mlogloss:0.577955+0.010225 
## [2]  train-mlogloss:0.417767+0.006336    test-mlogloss:0.580885+0.010809 
## [3]  train-mlogloss:0.368079+0.005018    test-mlogloss:0.595261+0.019689 
## [4]  train-mlogloss:0.330622+0.004299    test-mlogloss:0.611096+0.021437 
## [5]  train-mlogloss:0.301327+0.004638    test-mlogloss:0.628836+0.022746 
## [6]  train-mlogloss:0.275129+0.003203    test-mlogloss:0.647257+0.024730 
## [7]  train-mlogloss:0.252638+0.002430    test-mlogloss:0.661561+0.026150 
## [8]  train-mlogloss:0.232880+0.002604    test-mlogloss:0.674487+0.024996 
## [9]  train-mlogloss:0.214962+0.002581    test-mlogloss:0.684050+0.026404 
## [10] train-mlogloss:0.199190+0.003296    test-mlogloss:0.693652+0.031647 
## [11] train-mlogloss:0.185083+0.003257    test-mlogloss:0.702593+0.031988 
## [12] train-mlogloss:0.172698+0.003443    test-mlogloss:0.713420+0.031144 
## [13] train-mlogloss:0.161233+0.003607    test-mlogloss:0.722557+0.032182 
## [14] train-mlogloss:0.151267+0.003073    test-mlogloss:0.730176+0.035183 
## [15] train-mlogloss:0.141940+0.002976    test-mlogloss:0.734753+0.031495 
## [16] train-mlogloss:0.134063+0.002757    test-mlogloss:0.741772+0.031032 
## [17] train-mlogloss:0.126654+0.002272    test-mlogloss:0.749763+0.032300 
## [18] train-mlogloss:0.119588+0.002013    test-mlogloss:0.756455+0.031598 
## [19] train-mlogloss:0.113849+0.002055    test-mlogloss:0.766796+0.032520 
## [20] train-mlogloss:0.108446+0.002114    test-mlogloss:0.770676+0.033582 
## [21] train-mlogloss:0.103606+0.002193    test-mlogloss:0.778832+0.035765 
## [22] train-mlogloss:0.098942+0.001960    test-mlogloss:0.784110+0.036812 
## [23] train-mlogloss:0.094428+0.002204    test-mlogloss:0.788758+0.037030 
## [24] train-mlogloss:0.090713+0.002123    test-mlogloss:0.793583+0.036095 
## [25] train-mlogloss:0.087089+0.002105    test-mlogloss:0.798348+0.036232 
## [26] train-mlogloss:0.083768+0.001895    test-mlogloss:0.802067+0.034123 
## [27] train-mlogloss:0.080715+0.001702    test-mlogloss:0.808432+0.033242 
## [28] train-mlogloss:0.077702+0.001489    test-mlogloss:0.811784+0.031499 
## [29] train-mlogloss:0.074977+0.001209    test-mlogloss:0.815519+0.031821 
## [30] train-mlogloss:0.072554+0.001002    test-mlogloss:0.817704+0.031014 
## [31] train-mlogloss:0.070283+0.001071    test-mlogloss:0.822180+0.032288 
## [32] train-mlogloss:0.068079+0.001060    test-mlogloss:0.826133+0.030979 
## [33] train-mlogloss:0.065999+0.001017    test-mlogloss:0.832247+0.032185 
## [34] train-mlogloss:0.063911+0.001002    test-mlogloss:0.835333+0.033023 
## [35] train-mlogloss:0.062281+0.001025    test-mlogloss:0.838267+0.031974 
## [36] train-mlogloss:0.060513+0.000972    test-mlogloss:0.842069+0.031383 
## [37] train-mlogloss:0.058911+0.000924    test-mlogloss:0.846121+0.031008 
## [38] train-mlogloss:0.057423+0.000839    test-mlogloss:0.850711+0.032752 
## [39] train-mlogloss:0.056003+0.000838    test-mlogloss:0.852964+0.031654 
## [40] train-mlogloss:0.054646+0.000835    test-mlogloss:0.856204+0.032354 
## [41] train-mlogloss:0.053278+0.000807    test-mlogloss:0.857407+0.032496 
## [42] train-mlogloss:0.052040+0.000846    test-mlogloss:0.861586+0.034634 
## [43] train-mlogloss:0.050936+0.000863    test-mlogloss:0.865087+0.033429 
## [44] train-mlogloss:0.049788+0.000835    test-mlogloss:0.866347+0.035021 
## [45] train-mlogloss:0.048716+0.000798    test-mlogloss:0.870025+0.035714 
## [46] train-mlogloss:0.047718+0.000801    test-mlogloss:0.870529+0.035816 
## [47] train-mlogloss:0.046707+0.000716    test-mlogloss:0.872802+0.033857 
## [48] train-mlogloss:0.045785+0.000818    test-mlogloss:0.875159+0.036432 
## [49] train-mlogloss:0.044976+0.000784    test-mlogloss:0.877478+0.034563 
## [50] train-mlogloss:0.044206+0.000783    test-mlogloss:0.881451+0.034669 
## [51] train-mlogloss:0.043435+0.000732    test-mlogloss:0.884155+0.034466 
## [52] train-mlogloss:0.042610+0.000709    test-mlogloss:0.886405+0.032509 
## [53] train-mlogloss:0.041884+0.000732    test-mlogloss:0.889466+0.033811 
## [54] train-mlogloss:0.041141+0.000725    test-mlogloss:0.893009+0.035665 
## [55] train-mlogloss:0.040441+0.000682    test-mlogloss:0.895384+0.034307 
## [56] train-mlogloss:0.039784+0.000648    test-mlogloss:0.897389+0.034447 
## [57] train-mlogloss:0.039169+0.000640    test-mlogloss:0.899336+0.032865 
## [58] train-mlogloss:0.038488+0.000637    test-mlogloss:0.902375+0.032734 
## [59] train-mlogloss:0.037930+0.000656    test-mlogloss:0.903043+0.034733 
## [60] train-mlogloss:0.037392+0.000632    test-mlogloss:0.905049+0.034600 
## [61] train-mlogloss:0.036836+0.000630    test-mlogloss:0.907991+0.034828 
## [62] train-mlogloss:0.036312+0.000638    test-mlogloss:0.909849+0.035283 
## [63] train-mlogloss:0.035801+0.000589    test-mlogloss:0.911752+0.037172 
## [64] train-mlogloss:0.035333+0.000560    test-mlogloss:0.914137+0.035204 
## [65] train-mlogloss:0.034803+0.000547    test-mlogloss:0.915680+0.036307 
## [66] train-mlogloss:0.034328+0.000534    test-mlogloss:0.918166+0.036328 
## [67] train-mlogloss:0.033845+0.000558    test-mlogloss:0.921825+0.035906 
## [68] train-mlogloss:0.033419+0.000545    test-mlogloss:0.923922+0.036547 
## [69] train-mlogloss:0.032973+0.000529    test-mlogloss:0.925413+0.036758 
## [70] train-mlogloss:0.032565+0.000509    test-mlogloss:0.928544+0.037684 
## [71] train-mlogloss:0.032149+0.000527    test-mlogloss:0.930862+0.037166 
## [72] train-mlogloss:0.031777+0.000486    test-mlogloss:0.932337+0.038394 
## [73] train-mlogloss:0.031417+0.000446    test-mlogloss:0.935120+0.038233 
## [74] train-mlogloss:0.031064+0.000446    test-mlogloss:0.934382+0.039512 
## [75] train-mlogloss:0.030718+0.000448    test-mlogloss:0.934368+0.040407 
## [76] train-mlogloss:0.030347+0.000462    test-mlogloss:0.935207+0.040514 
## [77] train-mlogloss:0.029996+0.000465    test-mlogloss:0.936221+0.040928 
## [78] train-mlogloss:0.029681+0.000464    test-mlogloss:0.936908+0.040789 
## [79] train-mlogloss:0.029348+0.000453    test-mlogloss:0.938004+0.041332 
## [80] train-mlogloss:0.029016+0.000478    test-mlogloss:0.938550+0.039726 
## [81] train-mlogloss:0.028709+0.000475    test-mlogloss:0.939477+0.039241 
## [82] train-mlogloss:0.028401+0.000462    test-mlogloss:0.939759+0.039401 
## [83] train-mlogloss:0.028126+0.000454    test-mlogloss:0.940912+0.039282 
## [84] train-mlogloss:0.027804+0.000424    test-mlogloss:0.943341+0.040122 
## [85] train-mlogloss:0.027494+0.000388    test-mlogloss:0.944690+0.041593 
## [86] train-mlogloss:0.027218+0.000390    test-mlogloss:0.947934+0.042876 
## [87] train-mlogloss:0.026975+0.000395    test-mlogloss:0.949524+0.042764 
## [88] train-mlogloss:0.026718+0.000365    test-mlogloss:0.952753+0.043682 
## [89] train-mlogloss:0.026501+0.000362    test-mlogloss:0.955099+0.043365 
## [90] train-mlogloss:0.026266+0.000360    test-mlogloss:0.956643+0.042972 
## [91] train-mlogloss:0.026005+0.000359    test-mlogloss:0.955463+0.043732 
## [92] train-mlogloss:0.025757+0.000369    test-mlogloss:0.956591+0.043793 
## [93] train-mlogloss:0.025535+0.000386    test-mlogloss:0.957217+0.042936 
## [94] train-mlogloss:0.025316+0.000379    test-mlogloss:0.959560+0.043109 
## [95] train-mlogloss:0.025109+0.000392    test-mlogloss:0.961220+0.043316 
## [96] train-mlogloss:0.024895+0.000417    test-mlogloss:0.961896+0.044988 
## [97] train-mlogloss:0.024679+0.000408    test-mlogloss:0.961976+0.043621 
## [98] train-mlogloss:0.024505+0.000418    test-mlogloss:0.963070+0.044961 
## [99] train-mlogloss:0.024339+0.000398    test-mlogloss:0.964468+0.045099 
## [100]    train-mlogloss:0.024131+0.000390    test-mlogloss:0.964431+0.043865 
## [101]    train-mlogloss:0.023929+0.000381    test-mlogloss:0.964795+0.044328 
## [102]    train-mlogloss:0.023739+0.000362    test-mlogloss:0.966427+0.044190 
## [103]    train-mlogloss:0.023570+0.000369    test-mlogloss:0.966849+0.043693 
## [104]    train-mlogloss:0.023377+0.000375    test-mlogloss:0.968528+0.043724 
## [105]    train-mlogloss:0.023204+0.000385    test-mlogloss:0.969656+0.043195 
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## [108]    train-mlogloss:0.022689+0.000384    test-mlogloss:0.971738+0.043941 
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## [130]    train-mlogloss:0.019653+0.000264    test-mlogloss:0.992315+0.046025 
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## [495]    train-mlogloss:0.008221+0.000069    test-mlogloss:1.131878+0.046058 
## [496]    train-mlogloss:0.008207+0.000066    test-mlogloss:1.131262+0.046756 
## [497]    train-mlogloss:0.008202+0.000064    test-mlogloss:1.131721+0.046234 
## [498]    train-mlogloss:0.008187+0.000060    test-mlogloss:1.131589+0.046184 
## [499]    train-mlogloss:0.008178+0.000060    test-mlogloss:1.131461+0.046545 
## [500]    train-mlogloss:0.008173+0.000061    test-mlogloss:1.132318+0.046079 
## [1]  train-mlogloss:0.528171+0.003856    test-mlogloss:0.549650+0.009726 
## [2]  train-mlogloss:0.507141+0.002382    test-mlogloss:0.543235+0.012488 
## [3]  train-mlogloss:0.498200+0.004583    test-mlogloss:0.548638+0.014280 
## [4]  train-mlogloss:0.490830+0.004583    test-mlogloss:0.554300+0.015527 
## [5]  train-mlogloss:0.483636+0.002861    test-mlogloss:0.556457+0.015106 
## [6]  train-mlogloss:0.476419+0.004482    test-mlogloss:0.561417+0.015107 
## [7]  train-mlogloss:0.469944+0.004735    test-mlogloss:0.565990+0.015825 
## [8]  train-mlogloss:0.462548+0.006232    test-mlogloss:0.569165+0.016550 
## [9]  train-mlogloss:0.456162+0.005595    test-mlogloss:0.574911+0.016329 
## [10] train-mlogloss:0.449675+0.006248    test-mlogloss:0.580448+0.015719 
## [11] train-mlogloss:0.443373+0.006391    test-mlogloss:0.585325+0.018313 
## [12] train-mlogloss:0.437027+0.006386    test-mlogloss:0.589540+0.018696 
## [13] train-mlogloss:0.430255+0.005630    test-mlogloss:0.594802+0.019241 
## [14] train-mlogloss:0.424454+0.005396    test-mlogloss:0.600747+0.018227 
## [15] train-mlogloss:0.418478+0.004887    test-mlogloss:0.601718+0.017708 
## [16] train-mlogloss:0.413622+0.005635    test-mlogloss:0.602684+0.019809 
## [17] train-mlogloss:0.407926+0.006226    test-mlogloss:0.606126+0.019093 
## [18] train-mlogloss:0.402579+0.005096    test-mlogloss:0.608852+0.019700 
## [19] train-mlogloss:0.397481+0.005938    test-mlogloss:0.613659+0.020955 
## [20] train-mlogloss:0.391584+0.006330    test-mlogloss:0.618356+0.020589 
## [21] train-mlogloss:0.385718+0.007416    test-mlogloss:0.623371+0.021001 
## [22] train-mlogloss:0.380329+0.008219    test-mlogloss:0.626930+0.023070 
## [23] train-mlogloss:0.375885+0.007843    test-mlogloss:0.629823+0.023976 
## [24] train-mlogloss:0.371350+0.007554    test-mlogloss:0.633053+0.023494 
## [25] train-mlogloss:0.366873+0.007184    test-mlogloss:0.634706+0.023564 
## [26] train-mlogloss:0.360764+0.007097    test-mlogloss:0.639435+0.021784 
## [27] train-mlogloss:0.356507+0.007018    test-mlogloss:0.644876+0.025076 
## [28] train-mlogloss:0.351888+0.007293    test-mlogloss:0.645162+0.024153 
## [29] train-mlogloss:0.347966+0.007680    test-mlogloss:0.651097+0.024599 
## [30] train-mlogloss:0.344361+0.007825    test-mlogloss:0.652235+0.023907 
## [31] train-mlogloss:0.340180+0.007834    test-mlogloss:0.654736+0.024510 
## [32] train-mlogloss:0.336437+0.007142    test-mlogloss:0.659436+0.025741 
## [33] train-mlogloss:0.331960+0.006727    test-mlogloss:0.663150+0.026007 
## [34] train-mlogloss:0.328712+0.006866    test-mlogloss:0.664258+0.022967 
## [35] train-mlogloss:0.324116+0.005917    test-mlogloss:0.668924+0.024092 
## [36] train-mlogloss:0.319164+0.006531    test-mlogloss:0.672980+0.024437 
## [37] train-mlogloss:0.315529+0.006612    test-mlogloss:0.676763+0.026160 
## [38] train-mlogloss:0.311379+0.006795    test-mlogloss:0.681378+0.026306 
## [39] train-mlogloss:0.306876+0.006443    test-mlogloss:0.683215+0.025654 
## [40] train-mlogloss:0.302871+0.006234    test-mlogloss:0.688779+0.024036 
## [41] train-mlogloss:0.298153+0.005529    test-mlogloss:0.694349+0.024753 
## [42] train-mlogloss:0.294190+0.005402    test-mlogloss:0.696391+0.026203 
## [43] train-mlogloss:0.289717+0.005737    test-mlogloss:0.700485+0.026292 
## [44] train-mlogloss:0.285209+0.005028    test-mlogloss:0.701106+0.027612 
## [45] train-mlogloss:0.281940+0.005438    test-mlogloss:0.705044+0.026253 
## [46] train-mlogloss:0.277675+0.005142    test-mlogloss:0.708811+0.026133 
## [47] train-mlogloss:0.274000+0.005416    test-mlogloss:0.712303+0.024534 
## [48] train-mlogloss:0.270515+0.006073    test-mlogloss:0.716761+0.022812 
## [49] train-mlogloss:0.267215+0.005262    test-mlogloss:0.722453+0.024735 
## [50] train-mlogloss:0.262995+0.005423    test-mlogloss:0.723524+0.023823 
## [51] train-mlogloss:0.258969+0.005422    test-mlogloss:0.726636+0.023751 
## [52] train-mlogloss:0.255204+0.005831    test-mlogloss:0.728238+0.022639 
## [53] train-mlogloss:0.252311+0.005516    test-mlogloss:0.730475+0.022205 
## [54] train-mlogloss:0.249160+0.005585    test-mlogloss:0.733204+0.022961 
## [55] train-mlogloss:0.245971+0.006078    test-mlogloss:0.736797+0.025535 
## [56] train-mlogloss:0.242447+0.005928    test-mlogloss:0.741315+0.026843 
## [57] train-mlogloss:0.239393+0.006488    test-mlogloss:0.743366+0.026407 
## [58] train-mlogloss:0.236401+0.005601    test-mlogloss:0.745175+0.028466 
## [59] train-mlogloss:0.233855+0.005215    test-mlogloss:0.747224+0.026097 
## [60] train-mlogloss:0.230852+0.005415    test-mlogloss:0.749074+0.024793 
## [61] train-mlogloss:0.227644+0.006355    test-mlogloss:0.751823+0.027609 
## [62] train-mlogloss:0.224766+0.005967    test-mlogloss:0.756287+0.028453 
## [63] train-mlogloss:0.221513+0.005719    test-mlogloss:0.759540+0.027355 
## [64] train-mlogloss:0.218446+0.005944    test-mlogloss:0.763555+0.026788 
## [65] train-mlogloss:0.214928+0.005864    test-mlogloss:0.767461+0.027846 
## [66] train-mlogloss:0.212299+0.006344    test-mlogloss:0.765613+0.030160 
## [67] train-mlogloss:0.208886+0.006293    test-mlogloss:0.768882+0.031277 
## [68] train-mlogloss:0.206668+0.006838    test-mlogloss:0.771421+0.031263 
## [69] train-mlogloss:0.204041+0.006723    test-mlogloss:0.773446+0.030933 
## [70] train-mlogloss:0.201410+0.006480    test-mlogloss:0.775121+0.032886 
## [71] train-mlogloss:0.199037+0.006393    test-mlogloss:0.778622+0.033822 
## [72] train-mlogloss:0.196654+0.006438    test-mlogloss:0.780387+0.033644 
## [73] train-mlogloss:0.193978+0.006467    test-mlogloss:0.780277+0.033787 
## [74] train-mlogloss:0.191462+0.006255    test-mlogloss:0.784043+0.034230 
## [75] train-mlogloss:0.188685+0.006131    test-mlogloss:0.785949+0.034622 
## [76] train-mlogloss:0.185778+0.007034    test-mlogloss:0.788047+0.034158 
## [77] train-mlogloss:0.183573+0.006478    test-mlogloss:0.791333+0.034812 
## [78] train-mlogloss:0.181778+0.006253    test-mlogloss:0.796209+0.033268 
## [79] train-mlogloss:0.179508+0.005760    test-mlogloss:0.799194+0.035059 
## [80] train-mlogloss:0.177738+0.005800    test-mlogloss:0.802420+0.036582 
## [81] train-mlogloss:0.175352+0.005453    test-mlogloss:0.804660+0.035193 
## [82] train-mlogloss:0.173039+0.005143    test-mlogloss:0.806945+0.036295 
## [83] train-mlogloss:0.170700+0.005291    test-mlogloss:0.808522+0.033574 
## [84] train-mlogloss:0.168317+0.004995    test-mlogloss:0.811107+0.035261 
## [85] train-mlogloss:0.166384+0.005266    test-mlogloss:0.811137+0.037512 
## [86] train-mlogloss:0.164381+0.004933    test-mlogloss:0.812579+0.035321 
## [87] train-mlogloss:0.162608+0.004883    test-mlogloss:0.817979+0.036491 
## [88] train-mlogloss:0.160489+0.004484    test-mlogloss:0.821949+0.035089 
## [89] train-mlogloss:0.158547+0.004284    test-mlogloss:0.824958+0.034477 
## [90] train-mlogloss:0.156483+0.003909    test-mlogloss:0.826090+0.037488 
## [91] train-mlogloss:0.154565+0.003634    test-mlogloss:0.828560+0.036866 
## [92] train-mlogloss:0.152962+0.003280    test-mlogloss:0.829156+0.036558 
## [93] train-mlogloss:0.150708+0.003071    test-mlogloss:0.830691+0.036917 
## [94] train-mlogloss:0.148839+0.003097    test-mlogloss:0.831955+0.036250 
## [95] train-mlogloss:0.147117+0.003330    test-mlogloss:0.835015+0.036131 
## [96] train-mlogloss:0.145310+0.003116    test-mlogloss:0.837299+0.035576 
## [97] train-mlogloss:0.143335+0.003241    test-mlogloss:0.838205+0.034874 
## [98] train-mlogloss:0.141878+0.003096    test-mlogloss:0.841489+0.036317 
## [99] train-mlogloss:0.140314+0.002846    test-mlogloss:0.842228+0.036485 
## [100]    train-mlogloss:0.138878+0.002870    test-mlogloss:0.842734+0.037488 
## [101]    train-mlogloss:0.136975+0.003007    test-mlogloss:0.844707+0.038437 
## [102]    train-mlogloss:0.135358+0.003075    test-mlogloss:0.847797+0.035805 
## [103]    train-mlogloss:0.133590+0.003188    test-mlogloss:0.849551+0.036686 
## [104]    train-mlogloss:0.132186+0.003175    test-mlogloss:0.850909+0.037731 
## [105]    train-mlogloss:0.130617+0.003106    test-mlogloss:0.851396+0.038318 
## [106]    train-mlogloss:0.128660+0.003220    test-mlogloss:0.854648+0.038052 
## [107]    train-mlogloss:0.127005+0.003093    test-mlogloss:0.857956+0.038769 
## [108]    train-mlogloss:0.125415+0.002987    test-mlogloss:0.858824+0.037780 
## [109]    train-mlogloss:0.124044+0.002689    test-mlogloss:0.863604+0.036635 
## [110]    train-mlogloss:0.122524+0.002726    test-mlogloss:0.863567+0.038182 
## [111]    train-mlogloss:0.121110+0.003030    test-mlogloss:0.868230+0.036916 
## [112]    train-mlogloss:0.119983+0.002764    test-mlogloss:0.868284+0.035880 
## [113]    train-mlogloss:0.118724+0.002762    test-mlogloss:0.871260+0.036587 
## [114]    train-mlogloss:0.117282+0.002704    test-mlogloss:0.874435+0.035221 
## [115]    train-mlogloss:0.116221+0.002652    test-mlogloss:0.877211+0.035326 
## [116]    train-mlogloss:0.114695+0.002658    test-mlogloss:0.877024+0.035716 
## [117]    train-mlogloss:0.113314+0.002793    test-mlogloss:0.876833+0.035943 
## [118]    train-mlogloss:0.112029+0.002804    test-mlogloss:0.880591+0.035640 
## [119]    train-mlogloss:0.110706+0.002645    test-mlogloss:0.883274+0.036791 
## [120]    train-mlogloss:0.109541+0.002720    test-mlogloss:0.885326+0.036715 
## [121]    train-mlogloss:0.108342+0.002696    test-mlogloss:0.885462+0.038246 
## [122]    train-mlogloss:0.106853+0.002552    test-mlogloss:0.887941+0.036369 
## [123]    train-mlogloss:0.105806+0.002764    test-mlogloss:0.890546+0.036905 
## [124]    train-mlogloss:0.104769+0.002565    test-mlogloss:0.890829+0.037365 
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## [126]    train-mlogloss:0.102570+0.002399    test-mlogloss:0.896280+0.039266 
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## [405]    train-mlogloss:0.017586+0.000476    test-mlogloss:1.201429+0.052999 
## [406]    train-mlogloss:0.017536+0.000470    test-mlogloss:1.203212+0.054021 
## [407]    train-mlogloss:0.017482+0.000479    test-mlogloss:1.204481+0.054146 
## [408]    train-mlogloss:0.017441+0.000468    test-mlogloss:1.204813+0.054810 
## [409]    train-mlogloss:0.017376+0.000439    test-mlogloss:1.204829+0.053688 
## [410]    train-mlogloss:0.017317+0.000429    test-mlogloss:1.206669+0.052539 
## [411]    train-mlogloss:0.017272+0.000420    test-mlogloss:1.208149+0.052873 
## [412]    train-mlogloss:0.017219+0.000428    test-mlogloss:1.208035+0.053360 
## [413]    train-mlogloss:0.017147+0.000409    test-mlogloss:1.209141+0.055612 
## [414]    train-mlogloss:0.017088+0.000415    test-mlogloss:1.209255+0.055633 
## [415]    train-mlogloss:0.017045+0.000408    test-mlogloss:1.208931+0.055633 
## [416]    train-mlogloss:0.016970+0.000407    test-mlogloss:1.208589+0.054829 
## [417]    train-mlogloss:0.016908+0.000414    test-mlogloss:1.209856+0.054707 
## [418]    train-mlogloss:0.016863+0.000410    test-mlogloss:1.209684+0.055139 
## [419]    train-mlogloss:0.016815+0.000413    test-mlogloss:1.210629+0.056350 
## [420]    train-mlogloss:0.016751+0.000420    test-mlogloss:1.211322+0.054986 
## [421]    train-mlogloss:0.016693+0.000422    test-mlogloss:1.210963+0.055168 
## [422]    train-mlogloss:0.016652+0.000414    test-mlogloss:1.212691+0.054344 
## [423]    train-mlogloss:0.016601+0.000407    test-mlogloss:1.211673+0.054249 
## [424]    train-mlogloss:0.016540+0.000402    test-mlogloss:1.211853+0.054597 
## [425]    train-mlogloss:0.016500+0.000410    test-mlogloss:1.212513+0.054748 
## [426]    train-mlogloss:0.016443+0.000405    test-mlogloss:1.212891+0.053595 
## [427]    train-mlogloss:0.016407+0.000391    test-mlogloss:1.213888+0.054044 
## [428]    train-mlogloss:0.016356+0.000377    test-mlogloss:1.214492+0.052110 
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## [434]    train-mlogloss:0.016077+0.000382    test-mlogloss:1.218387+0.054375 
## [435]    train-mlogloss:0.016045+0.000393    test-mlogloss:1.218052+0.054483 
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## [437]    train-mlogloss:0.015984+0.000365    test-mlogloss:1.220084+0.054535 
## [438]    train-mlogloss:0.015941+0.000358    test-mlogloss:1.219331+0.054909 
## [439]    train-mlogloss:0.015885+0.000355    test-mlogloss:1.219528+0.053289 
## [440]    train-mlogloss:0.015852+0.000349    test-mlogloss:1.221330+0.055105 
## [441]    train-mlogloss:0.015800+0.000340    test-mlogloss:1.222615+0.053297 
## [442]    train-mlogloss:0.015759+0.000327    test-mlogloss:1.223244+0.052869 
## [443]    train-mlogloss:0.015712+0.000317    test-mlogloss:1.222760+0.054159 
## [444]    train-mlogloss:0.015655+0.000330    test-mlogloss:1.225152+0.053785 
## [445]    train-mlogloss:0.015608+0.000320    test-mlogloss:1.227231+0.054494 
## [446]    train-mlogloss:0.015565+0.000312    test-mlogloss:1.228161+0.054772 
## [447]    train-mlogloss:0.015520+0.000309    test-mlogloss:1.227487+0.055674 
## [448]    train-mlogloss:0.015470+0.000296    test-mlogloss:1.228511+0.055512 
## [449]    train-mlogloss:0.015427+0.000306    test-mlogloss:1.229013+0.053993 
## [450]    train-mlogloss:0.015388+0.000312    test-mlogloss:1.229399+0.055097 
## [451]    train-mlogloss:0.015325+0.000326    test-mlogloss:1.230282+0.054372 
## [452]    train-mlogloss:0.015278+0.000327    test-mlogloss:1.230917+0.055619 
## [453]    train-mlogloss:0.015241+0.000341    test-mlogloss:1.231421+0.055127 
## [454]    train-mlogloss:0.015206+0.000339    test-mlogloss:1.232230+0.055674 
## [455]    train-mlogloss:0.015167+0.000349    test-mlogloss:1.231561+0.055773 
## [456]    train-mlogloss:0.015133+0.000346    test-mlogloss:1.231451+0.055998 
## [457]    train-mlogloss:0.015091+0.000348    test-mlogloss:1.231427+0.055418 
## [458]    train-mlogloss:0.015048+0.000350    test-mlogloss:1.232836+0.054281 
## [459]    train-mlogloss:0.014995+0.000353    test-mlogloss:1.233496+0.053671 
## [460]    train-mlogloss:0.014959+0.000349    test-mlogloss:1.233119+0.054087 
## [461]    train-mlogloss:0.014902+0.000360    test-mlogloss:1.234013+0.054617 
## [462]    train-mlogloss:0.014874+0.000361    test-mlogloss:1.234535+0.055626 
## [463]    train-mlogloss:0.014826+0.000360    test-mlogloss:1.235713+0.055602 
## [464]    train-mlogloss:0.014798+0.000363    test-mlogloss:1.237476+0.056182 
## [465]    train-mlogloss:0.014751+0.000369    test-mlogloss:1.237776+0.056415 
## [466]    train-mlogloss:0.014717+0.000373    test-mlogloss:1.236564+0.056411 
## [467]    train-mlogloss:0.014675+0.000367    test-mlogloss:1.237218+0.055413 
## [468]    train-mlogloss:0.014629+0.000367    test-mlogloss:1.237731+0.056360 
## [469]    train-mlogloss:0.014590+0.000364    test-mlogloss:1.237075+0.056440 
## [470]    train-mlogloss:0.014551+0.000374    test-mlogloss:1.237444+0.055594 
## [471]    train-mlogloss:0.014507+0.000359    test-mlogloss:1.238594+0.055970 
## [472]    train-mlogloss:0.014477+0.000348    test-mlogloss:1.238776+0.056762 
## [473]    train-mlogloss:0.014446+0.000344    test-mlogloss:1.239391+0.056867 
## [474]    train-mlogloss:0.014406+0.000351    test-mlogloss:1.239654+0.057240 
## [475]    train-mlogloss:0.014378+0.000351    test-mlogloss:1.239749+0.057347 
## [476]    train-mlogloss:0.014335+0.000342    test-mlogloss:1.242660+0.056878 
## [477]    train-mlogloss:0.014298+0.000337    test-mlogloss:1.242088+0.056635 
## [478]    train-mlogloss:0.014272+0.000331    test-mlogloss:1.243317+0.056924 
## [479]    train-mlogloss:0.014226+0.000329    test-mlogloss:1.244395+0.057077 
## [480]    train-mlogloss:0.014201+0.000331    test-mlogloss:1.244349+0.056556 
## [481]    train-mlogloss:0.014163+0.000326    test-mlogloss:1.245658+0.055744 
## [482]    train-mlogloss:0.014119+0.000316    test-mlogloss:1.246137+0.055436 
## [483]    train-mlogloss:0.014085+0.000311    test-mlogloss:1.245942+0.055504 
## [484]    train-mlogloss:0.014039+0.000316    test-mlogloss:1.248028+0.055255 
## [485]    train-mlogloss:0.013994+0.000308    test-mlogloss:1.249136+0.055963 
## [486]    train-mlogloss:0.013956+0.000309    test-mlogloss:1.249778+0.055833 
## [487]    train-mlogloss:0.013920+0.000315    test-mlogloss:1.249695+0.056352 
## [488]    train-mlogloss:0.013887+0.000310    test-mlogloss:1.249204+0.057295 
## [489]    train-mlogloss:0.013854+0.000308    test-mlogloss:1.251305+0.057506 
## [490]    train-mlogloss:0.013815+0.000306    test-mlogloss:1.252565+0.056929 
## [491]    train-mlogloss:0.013781+0.000301    test-mlogloss:1.252697+0.057705 
## [492]    train-mlogloss:0.013743+0.000294    test-mlogloss:1.253303+0.057788 
## [493]    train-mlogloss:0.013718+0.000290    test-mlogloss:1.253926+0.058844 
## [494]    train-mlogloss:0.013679+0.000286    test-mlogloss:1.253880+0.058155 
## [495]    train-mlogloss:0.013642+0.000275    test-mlogloss:1.254947+0.058437 
## [496]    train-mlogloss:0.013607+0.000286    test-mlogloss:1.254429+0.058313 
## [497]    train-mlogloss:0.013562+0.000276    test-mlogloss:1.254189+0.059270 
## [498]    train-mlogloss:0.013535+0.000270    test-mlogloss:1.255439+0.058653 
## [499]    train-mlogloss:0.013509+0.000268    test-mlogloss:1.255742+0.056809 
## [500]    train-mlogloss:0.013470+0.000261    test-mlogloss:1.255455+0.056107 
## [1]  train-mlogloss:0.469100+0.002687    test-mlogloss:0.578198+0.010076 
## [2]  train-mlogloss:0.400487+0.005355    test-mlogloss:0.595163+0.009969 
## [3]  train-mlogloss:0.352391+0.006280    test-mlogloss:0.627413+0.009055 
## [4]  train-mlogloss:0.315174+0.006559    test-mlogloss:0.650266+0.007426 
## [5]  train-mlogloss:0.282105+0.005495    test-mlogloss:0.679657+0.006654 
## [6]  train-mlogloss:0.255135+0.003664    test-mlogloss:0.702800+0.012619 
## [7]  train-mlogloss:0.231443+0.002490    test-mlogloss:0.723303+0.016353 
## [8]  train-mlogloss:0.210744+0.002593    test-mlogloss:0.740711+0.016615 
## [9]  train-mlogloss:0.192849+0.001504    test-mlogloss:0.757421+0.017745 
## [10] train-mlogloss:0.177761+0.002027    test-mlogloss:0.767801+0.021198 
## [11] train-mlogloss:0.163691+0.001689    test-mlogloss:0.781219+0.019748 
## [12] train-mlogloss:0.151529+0.001477    test-mlogloss:0.795413+0.021260 
## [13] train-mlogloss:0.140608+0.000965    test-mlogloss:0.805996+0.018936 
## [14] train-mlogloss:0.130444+0.001307    test-mlogloss:0.812990+0.021404 
## [15] train-mlogloss:0.122174+0.001393    test-mlogloss:0.822889+0.023808 
## [16] train-mlogloss:0.115265+0.001002    test-mlogloss:0.830048+0.023979 
## [17] train-mlogloss:0.108309+0.001131    test-mlogloss:0.835779+0.025666 
## [18] train-mlogloss:0.102296+0.001220    test-mlogloss:0.849776+0.028555 
## [19] train-mlogloss:0.097279+0.001441    test-mlogloss:0.857263+0.027200 
## [20] train-mlogloss:0.092052+0.001138    test-mlogloss:0.861556+0.025629 
## [21] train-mlogloss:0.087148+0.001365    test-mlogloss:0.866783+0.025840 
## [22] train-mlogloss:0.082796+0.001260    test-mlogloss:0.872910+0.025882 
## [23] train-mlogloss:0.079334+0.001031    test-mlogloss:0.875148+0.029599 
## [24] train-mlogloss:0.075827+0.000947    test-mlogloss:0.878523+0.028666 
## [25] train-mlogloss:0.072767+0.001179    test-mlogloss:0.886564+0.028508 
## [26] train-mlogloss:0.069769+0.001001    test-mlogloss:0.892446+0.026275 
## [27] train-mlogloss:0.067002+0.001007    test-mlogloss:0.896098+0.028476 
## [28] train-mlogloss:0.064623+0.000951    test-mlogloss:0.901518+0.028197 
## [29] train-mlogloss:0.062355+0.000913    test-mlogloss:0.905576+0.029212 
## [30] train-mlogloss:0.060122+0.001097    test-mlogloss:0.908050+0.029353 
## [31] train-mlogloss:0.058122+0.000974    test-mlogloss:0.911806+0.026202 
## [32] train-mlogloss:0.056277+0.000883    test-mlogloss:0.914497+0.026535 
## [33] train-mlogloss:0.054563+0.000738    test-mlogloss:0.919667+0.028110 
## [34] train-mlogloss:0.053114+0.000596    test-mlogloss:0.920979+0.027901 
## [35] train-mlogloss:0.051627+0.000712    test-mlogloss:0.923130+0.029392 
## [36] train-mlogloss:0.050231+0.000851    test-mlogloss:0.927274+0.028338 
## [37] train-mlogloss:0.048851+0.000878    test-mlogloss:0.928931+0.026419 
## [38] train-mlogloss:0.047653+0.000854    test-mlogloss:0.930021+0.027311 
## [39] train-mlogloss:0.046532+0.000757    test-mlogloss:0.933555+0.028419 
## [40] train-mlogloss:0.045235+0.000724    test-mlogloss:0.937767+0.028758 
## [41] train-mlogloss:0.044213+0.000709    test-mlogloss:0.940525+0.029120 
## [42] train-mlogloss:0.043199+0.000636    test-mlogloss:0.943776+0.029645 
## [43] train-mlogloss:0.042107+0.000725    test-mlogloss:0.946539+0.029718 
## [44] train-mlogloss:0.041180+0.000722    test-mlogloss:0.949107+0.032239 
## [45] train-mlogloss:0.040408+0.000569    test-mlogloss:0.951101+0.033670 
## [46] train-mlogloss:0.039562+0.000536    test-mlogloss:0.953318+0.034760 
## [47] train-mlogloss:0.038708+0.000555    test-mlogloss:0.956223+0.035478 
## [48] train-mlogloss:0.037873+0.000462    test-mlogloss:0.958071+0.036207 
## [49] train-mlogloss:0.037198+0.000409    test-mlogloss:0.960365+0.034874 
## [50] train-mlogloss:0.036483+0.000378    test-mlogloss:0.962728+0.033685 
## [51] train-mlogloss:0.035832+0.000412    test-mlogloss:0.964938+0.035163 
## [52] train-mlogloss:0.035171+0.000436    test-mlogloss:0.968342+0.032958 
## [53] train-mlogloss:0.034616+0.000449    test-mlogloss:0.970498+0.034341 
## [54] train-mlogloss:0.034018+0.000391    test-mlogloss:0.971794+0.034407 
## [55] train-mlogloss:0.033439+0.000378    test-mlogloss:0.974447+0.035469 
## [56] train-mlogloss:0.032961+0.000351    test-mlogloss:0.975826+0.036471 
## [57] train-mlogloss:0.032437+0.000333    test-mlogloss:0.979512+0.036673 
## [58] train-mlogloss:0.031927+0.000304    test-mlogloss:0.983033+0.038607 
## [59] train-mlogloss:0.031377+0.000302    test-mlogloss:0.985652+0.037819 
## [60] train-mlogloss:0.030909+0.000271    test-mlogloss:0.988777+0.037208 
## [61] train-mlogloss:0.030499+0.000294    test-mlogloss:0.991383+0.036374 
## [62] train-mlogloss:0.030035+0.000302    test-mlogloss:0.992619+0.035705 
## [63] train-mlogloss:0.029638+0.000282    test-mlogloss:0.994439+0.037750 
## [64] train-mlogloss:0.029285+0.000307    test-mlogloss:0.996109+0.039092 
## [65] train-mlogloss:0.028905+0.000349    test-mlogloss:0.997019+0.038208 
## [66] train-mlogloss:0.028547+0.000381    test-mlogloss:1.000256+0.039167 
## [67] train-mlogloss:0.028122+0.000348    test-mlogloss:1.000153+0.041218 
## [68] train-mlogloss:0.027784+0.000335    test-mlogloss:1.001516+0.041439 
## [69] train-mlogloss:0.027429+0.000342    test-mlogloss:1.002452+0.043763 
## [70] train-mlogloss:0.027109+0.000351    test-mlogloss:1.002675+0.042838 
## [71] train-mlogloss:0.026803+0.000360    test-mlogloss:1.004844+0.042807 
## [72] train-mlogloss:0.026523+0.000287    test-mlogloss:1.007771+0.043980 
## [73] train-mlogloss:0.026243+0.000312    test-mlogloss:1.010764+0.045637 
## [74] train-mlogloss:0.025902+0.000343    test-mlogloss:1.013431+0.045341 
## [75] train-mlogloss:0.025664+0.000349    test-mlogloss:1.014017+0.045389 
## [76] train-mlogloss:0.025393+0.000378    test-mlogloss:1.015591+0.044695 
## [77] train-mlogloss:0.025117+0.000374    test-mlogloss:1.016749+0.044280 
## [78] train-mlogloss:0.024811+0.000331    test-mlogloss:1.017089+0.043654 
## [79] train-mlogloss:0.024568+0.000327    test-mlogloss:1.018765+0.044577 
## [80] train-mlogloss:0.024311+0.000351    test-mlogloss:1.020269+0.042899 
## [81] train-mlogloss:0.024048+0.000324    test-mlogloss:1.022626+0.042523 
## [82] train-mlogloss:0.023819+0.000332    test-mlogloss:1.025185+0.044742 
## [83] train-mlogloss:0.023570+0.000334    test-mlogloss:1.026560+0.046994 
## [84] train-mlogloss:0.023342+0.000322    test-mlogloss:1.027797+0.046678 
## [85] train-mlogloss:0.023117+0.000301    test-mlogloss:1.027948+0.046053 
## [86] train-mlogloss:0.022936+0.000283    test-mlogloss:1.030267+0.045068 
## [87] train-mlogloss:0.022732+0.000290    test-mlogloss:1.032350+0.046901 
## [88] train-mlogloss:0.022486+0.000282    test-mlogloss:1.033176+0.046969 
## [89] train-mlogloss:0.022285+0.000278    test-mlogloss:1.034775+0.045664 
## [90] train-mlogloss:0.022110+0.000301    test-mlogloss:1.036876+0.047323 
## [91] train-mlogloss:0.021891+0.000307    test-mlogloss:1.039010+0.047575 
## [92] train-mlogloss:0.021721+0.000293    test-mlogloss:1.039728+0.047681 
## [93] train-mlogloss:0.021555+0.000303    test-mlogloss:1.042470+0.047724 
## [94] train-mlogloss:0.021392+0.000277    test-mlogloss:1.042360+0.046131 
## [95] train-mlogloss:0.021206+0.000272    test-mlogloss:1.041863+0.045781 
## [96] train-mlogloss:0.021027+0.000246    test-mlogloss:1.044465+0.045491 
## [97] train-mlogloss:0.020841+0.000257    test-mlogloss:1.045803+0.045966 
## [98] train-mlogloss:0.020654+0.000209    test-mlogloss:1.048200+0.048173 
## [99] train-mlogloss:0.020493+0.000197    test-mlogloss:1.049421+0.047806 
## [100]    train-mlogloss:0.020327+0.000190    test-mlogloss:1.049988+0.048236 
## [101]    train-mlogloss:0.020173+0.000178    test-mlogloss:1.049967+0.049433 
## [102]    train-mlogloss:0.020004+0.000182    test-mlogloss:1.051260+0.048584 
## [103]    train-mlogloss:0.019844+0.000195    test-mlogloss:1.054586+0.047910 
## [104]    train-mlogloss:0.019692+0.000211    test-mlogloss:1.056593+0.047392 
## [105]    train-mlogloss:0.019566+0.000222    test-mlogloss:1.058292+0.048095 
## [106]    train-mlogloss:0.019413+0.000229    test-mlogloss:1.057910+0.047314 
## [107]    train-mlogloss:0.019290+0.000247    test-mlogloss:1.058707+0.047791 
## [108]    train-mlogloss:0.019168+0.000236    test-mlogloss:1.059366+0.048298 
## [109]    train-mlogloss:0.019012+0.000241    test-mlogloss:1.060941+0.049737 
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## [13] train-mlogloss:0.475466+0.001805    test-mlogloss:0.534408+0.008197 
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## [19] train-mlogloss:0.458488+0.002022    test-mlogloss:0.536943+0.008525 
## [20] train-mlogloss:0.456052+0.002487    test-mlogloss:0.537506+0.008755 
## [21] train-mlogloss:0.453892+0.001825    test-mlogloss:0.538109+0.008574 
## [22] train-mlogloss:0.451997+0.002117    test-mlogloss:0.538838+0.008774 
## [23] train-mlogloss:0.449161+0.002130    test-mlogloss:0.539254+0.008984 
## [24] train-mlogloss:0.447547+0.002265    test-mlogloss:0.539883+0.008765 
## [25] train-mlogloss:0.445055+0.002434    test-mlogloss:0.540340+0.008970 
## [26] train-mlogloss:0.442433+0.002733    test-mlogloss:0.540826+0.009218 
## [27] train-mlogloss:0.440350+0.002619    test-mlogloss:0.541098+0.009050 
## [28] train-mlogloss:0.437621+0.003040    test-mlogloss:0.541240+0.009334 
## [29] train-mlogloss:0.435019+0.003473    test-mlogloss:0.541900+0.009454 
## [30] train-mlogloss:0.433068+0.003542    test-mlogloss:0.542484+0.009534 
## [31] train-mlogloss:0.430992+0.003417    test-mlogloss:0.543230+0.009426 
## [32] train-mlogloss:0.429087+0.003203    test-mlogloss:0.543603+0.009205 
## [33] train-mlogloss:0.426832+0.002752    test-mlogloss:0.544084+0.009271 
## [34] train-mlogloss:0.424940+0.002952    test-mlogloss:0.544727+0.009540 
## [35] train-mlogloss:0.422999+0.003239    test-mlogloss:0.545742+0.009651 
## [36] train-mlogloss:0.420203+0.002939    test-mlogloss:0.545934+0.009813 
## [37] train-mlogloss:0.417851+0.003090    test-mlogloss:0.546374+0.009635 
## [38] train-mlogloss:0.415821+0.003047    test-mlogloss:0.546541+0.009788 
## [39] train-mlogloss:0.413622+0.002247    test-mlogloss:0.546908+0.009781 
## [40] train-mlogloss:0.411378+0.001969    test-mlogloss:0.547167+0.009961 
## [41] train-mlogloss:0.409195+0.001706    test-mlogloss:0.547727+0.010088 
## [42] train-mlogloss:0.406781+0.001624    test-mlogloss:0.548483+0.010113 
## [43] train-mlogloss:0.405068+0.001954    test-mlogloss:0.548744+0.010097 
## [44] train-mlogloss:0.403141+0.002400    test-mlogloss:0.549231+0.009735 
## [45] train-mlogloss:0.401218+0.002497    test-mlogloss:0.549559+0.010420 
## [46] train-mlogloss:0.399375+0.002741    test-mlogloss:0.550019+0.010377 
## [47] train-mlogloss:0.397191+0.002140    test-mlogloss:0.550599+0.010310 
## [48] train-mlogloss:0.394886+0.002049    test-mlogloss:0.550930+0.010070 
## [49] train-mlogloss:0.392826+0.002232    test-mlogloss:0.551364+0.010382 
## [50] train-mlogloss:0.390676+0.001899    test-mlogloss:0.551874+0.010543 
## [51] train-mlogloss:0.388865+0.001912    test-mlogloss:0.552382+0.010734 
## [52] train-mlogloss:0.387213+0.002259    test-mlogloss:0.553083+0.011006 
## [53] train-mlogloss:0.385297+0.002289    test-mlogloss:0.553909+0.010539 
## [54] train-mlogloss:0.383626+0.002686    test-mlogloss:0.554145+0.010616 
## [55] train-mlogloss:0.382065+0.002760    test-mlogloss:0.554570+0.010547 
## [56] train-mlogloss:0.379795+0.002765    test-mlogloss:0.555294+0.010424 
## [57] train-mlogloss:0.378199+0.002662    test-mlogloss:0.555835+0.010445 
## [58] train-mlogloss:0.376537+0.002693    test-mlogloss:0.556242+0.010654 
## [59] train-mlogloss:0.374558+0.003321    test-mlogloss:0.556914+0.010638 
## [60] train-mlogloss:0.372810+0.003330    test-mlogloss:0.557328+0.011004 
## [61] train-mlogloss:0.371002+0.002968    test-mlogloss:0.557686+0.011132 
## [62] train-mlogloss:0.369355+0.002997    test-mlogloss:0.558020+0.011077 
## [63] train-mlogloss:0.367675+0.003280    test-mlogloss:0.558685+0.011475 
## [64] train-mlogloss:0.365812+0.003328    test-mlogloss:0.558774+0.011875 
## [65] train-mlogloss:0.364243+0.003325    test-mlogloss:0.559117+0.012127 
## [66] train-mlogloss:0.362317+0.003106    test-mlogloss:0.559894+0.012257 
## [67] train-mlogloss:0.360458+0.003000    test-mlogloss:0.560243+0.012074 
## [68] train-mlogloss:0.358582+0.002831    test-mlogloss:0.561067+0.012065 
## [69] train-mlogloss:0.357131+0.002970    test-mlogloss:0.561358+0.011585 
## [70] train-mlogloss:0.355203+0.003017    test-mlogloss:0.561149+0.012107 
## [71] train-mlogloss:0.353455+0.002797    test-mlogloss:0.561646+0.012153 
## [72] train-mlogloss:0.352006+0.002712    test-mlogloss:0.562297+0.012148 
## [73] train-mlogloss:0.350515+0.002920    test-mlogloss:0.562535+0.012125 
## [74] train-mlogloss:0.349157+0.002754    test-mlogloss:0.563130+0.012090 
## [75] train-mlogloss:0.347561+0.002833    test-mlogloss:0.563941+0.011942 
## [76] train-mlogloss:0.345898+0.002609    test-mlogloss:0.564409+0.012221 
## [77] train-mlogloss:0.343724+0.002412    test-mlogloss:0.565080+0.012212 
## [78] train-mlogloss:0.341896+0.002215    test-mlogloss:0.565275+0.012263 
## [79] train-mlogloss:0.340271+0.002116    test-mlogloss:0.565649+0.012261 
## [80] train-mlogloss:0.338296+0.002120    test-mlogloss:0.566234+0.012589 
## [81] train-mlogloss:0.336599+0.002213    test-mlogloss:0.566329+0.012376 
## [82] train-mlogloss:0.335385+0.002226    test-mlogloss:0.566434+0.012261 
## [83] train-mlogloss:0.333781+0.001940    test-mlogloss:0.566853+0.012222 
## [84] train-mlogloss:0.332036+0.001769    test-mlogloss:0.567330+0.012006 
## [85] train-mlogloss:0.330616+0.001825    test-mlogloss:0.567913+0.012183 
## [86] train-mlogloss:0.328775+0.001797    test-mlogloss:0.568298+0.012343 
## [87] train-mlogloss:0.326971+0.001982    test-mlogloss:0.568939+0.012766 
## [88] train-mlogloss:0.325434+0.001862    test-mlogloss:0.569311+0.013120 
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## [90] train-mlogloss:0.322397+0.001712    test-mlogloss:0.570425+0.012930 
## [91] train-mlogloss:0.321065+0.001537    test-mlogloss:0.570941+0.012933 
## [92] train-mlogloss:0.319359+0.001702    test-mlogloss:0.571018+0.012795 
## [93] train-mlogloss:0.317917+0.001811    test-mlogloss:0.571199+0.013185 
## [94] train-mlogloss:0.316657+0.001952    test-mlogloss:0.571517+0.013325 
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## [428]    train-mlogloss:0.088059+0.000801    test-mlogloss:0.722040+0.014815 
## [429]    train-mlogloss:0.087762+0.000742    test-mlogloss:0.722735+0.015034 
## [430]    train-mlogloss:0.087481+0.000719    test-mlogloss:0.723085+0.015051 
## [431]    train-mlogloss:0.087162+0.000757    test-mlogloss:0.723515+0.015158 
## [432]    train-mlogloss:0.086877+0.000765    test-mlogloss:0.723951+0.015539 
## [433]    train-mlogloss:0.086631+0.000809    test-mlogloss:0.724233+0.015403 
## [434]    train-mlogloss:0.086405+0.000786    test-mlogloss:0.724510+0.015666 
## [435]    train-mlogloss:0.086089+0.000739    test-mlogloss:0.725145+0.015578 
## [436]    train-mlogloss:0.085865+0.000744    test-mlogloss:0.725654+0.015669 
## [437]    train-mlogloss:0.085641+0.000774    test-mlogloss:0.726028+0.015732 
## [438]    train-mlogloss:0.085348+0.000763    test-mlogloss:0.726496+0.015715 
## [439]    train-mlogloss:0.084960+0.000725    test-mlogloss:0.726923+0.016093 
## [440]    train-mlogloss:0.084695+0.000721    test-mlogloss:0.727273+0.016067 
## [441]    train-mlogloss:0.084415+0.000726    test-mlogloss:0.727726+0.015931 
## [442]    train-mlogloss:0.084012+0.000672    test-mlogloss:0.728370+0.015887 
## [443]    train-mlogloss:0.083675+0.000723    test-mlogloss:0.728959+0.015779 
## [444]    train-mlogloss:0.083450+0.000741    test-mlogloss:0.729285+0.015659 
## [445]    train-mlogloss:0.083162+0.000804    test-mlogloss:0.730046+0.015962 
## [446]    train-mlogloss:0.082888+0.000791    test-mlogloss:0.730507+0.016312 
## [447]    train-mlogloss:0.082616+0.000801    test-mlogloss:0.731080+0.016430 
## [448]    train-mlogloss:0.082363+0.000797    test-mlogloss:0.731184+0.016393 
## [449]    train-mlogloss:0.082070+0.000831    test-mlogloss:0.731703+0.016155 
## [450]    train-mlogloss:0.081805+0.000866    test-mlogloss:0.732070+0.016392 
## [451]    train-mlogloss:0.081579+0.000859    test-mlogloss:0.732655+0.016374 
## [452]    train-mlogloss:0.081280+0.000882    test-mlogloss:0.733179+0.016201 
## [453]    train-mlogloss:0.081009+0.000861    test-mlogloss:0.733751+0.016288 
## [454]    train-mlogloss:0.080825+0.000853    test-mlogloss:0.734368+0.016343 
## [455]    train-mlogloss:0.080588+0.000832    test-mlogloss:0.734768+0.016317 
## [456]    train-mlogloss:0.080353+0.000857    test-mlogloss:0.735066+0.016337 
## [457]    train-mlogloss:0.080114+0.000844    test-mlogloss:0.735527+0.016428 
## [458]    train-mlogloss:0.079945+0.000842    test-mlogloss:0.735640+0.016507 
## [459]    train-mlogloss:0.079697+0.000766    test-mlogloss:0.735823+0.016567 
## [460]    train-mlogloss:0.079471+0.000747    test-mlogloss:0.736273+0.016389 
## [461]    train-mlogloss:0.079264+0.000735    test-mlogloss:0.736561+0.016346 
## [462]    train-mlogloss:0.079059+0.000736    test-mlogloss:0.736722+0.016238 
## [463]    train-mlogloss:0.078748+0.000707    test-mlogloss:0.737156+0.016092 
## [464]    train-mlogloss:0.078456+0.000705    test-mlogloss:0.737838+0.016355 
## [465]    train-mlogloss:0.078241+0.000687    test-mlogloss:0.738227+0.016433 
## [466]    train-mlogloss:0.077955+0.000710    test-mlogloss:0.738544+0.016472 
## [467]    train-mlogloss:0.077756+0.000694    test-mlogloss:0.738683+0.016338 
## [468]    train-mlogloss:0.077505+0.000613    test-mlogloss:0.739075+0.016421 
## [469]    train-mlogloss:0.077296+0.000556    test-mlogloss:0.739297+0.016498 
## [470]    train-mlogloss:0.077092+0.000565    test-mlogloss:0.739606+0.016422 
## [471]    train-mlogloss:0.076798+0.000581    test-mlogloss:0.740057+0.016301 
## [472]    train-mlogloss:0.076647+0.000576    test-mlogloss:0.740653+0.016106 
## [473]    train-mlogloss:0.076512+0.000546    test-mlogloss:0.740754+0.016090 
## [474]    train-mlogloss:0.076273+0.000512    test-mlogloss:0.740831+0.016384 
## [475]    train-mlogloss:0.076077+0.000538    test-mlogloss:0.741291+0.016207 
## [476]    train-mlogloss:0.075873+0.000490    test-mlogloss:0.741729+0.016408 
## [477]    train-mlogloss:0.075654+0.000499    test-mlogloss:0.742201+0.016112 
## [478]    train-mlogloss:0.075410+0.000473    test-mlogloss:0.742321+0.016115 
## [479]    train-mlogloss:0.075190+0.000420    test-mlogloss:0.742963+0.016362 
## [480]    train-mlogloss:0.074922+0.000458    test-mlogloss:0.743528+0.016513 
## [481]    train-mlogloss:0.074694+0.000502    test-mlogloss:0.743885+0.016405 
## [482]    train-mlogloss:0.074458+0.000493    test-mlogloss:0.744360+0.016213 
## [483]    train-mlogloss:0.074238+0.000453    test-mlogloss:0.744843+0.016044 
## [484]    train-mlogloss:0.073991+0.000459    test-mlogloss:0.745119+0.015718 
## [485]    train-mlogloss:0.073767+0.000472    test-mlogloss:0.745402+0.015819 
## [486]    train-mlogloss:0.073538+0.000484    test-mlogloss:0.745404+0.015543 
## [487]    train-mlogloss:0.073342+0.000533    test-mlogloss:0.745509+0.015585 
## [488]    train-mlogloss:0.073122+0.000533    test-mlogloss:0.745992+0.015986 
## [489]    train-mlogloss:0.072912+0.000497    test-mlogloss:0.746252+0.016543 
## [490]    train-mlogloss:0.072705+0.000499    test-mlogloss:0.746503+0.016391 
## [491]    train-mlogloss:0.072541+0.000526    test-mlogloss:0.746702+0.016219 
## [492]    train-mlogloss:0.072305+0.000586    test-mlogloss:0.747136+0.016349 
## [493]    train-mlogloss:0.072095+0.000564    test-mlogloss:0.747337+0.016596 
## [494]    train-mlogloss:0.071917+0.000554    test-mlogloss:0.747840+0.016688 
## [495]    train-mlogloss:0.071697+0.000581    test-mlogloss:0.748410+0.016575 
## [496]    train-mlogloss:0.071524+0.000561    test-mlogloss:0.748766+0.016697 
## [497]    train-mlogloss:0.071344+0.000562    test-mlogloss:0.749475+0.016624 
## [498]    train-mlogloss:0.071111+0.000578    test-mlogloss:0.750108+0.016466 
## [499]    train-mlogloss:0.070921+0.000598    test-mlogloss:0.750696+0.016385 
## [500]    train-mlogloss:0.070700+0.000641    test-mlogloss:0.750981+0.016486 
## [1]  train-mlogloss:0.582290+0.002174    test-mlogloss:0.626450+0.002025 
## [2]  train-mlogloss:0.509998+0.001922    test-mlogloss:0.593602+0.003254 
## [3]  train-mlogloss:0.456065+0.003366    test-mlogloss:0.574559+0.004165 
## [4]  train-mlogloss:0.415205+0.004418    test-mlogloss:0.563689+0.005006 
## [5]  train-mlogloss:0.381403+0.004026    test-mlogloss:0.559352+0.005845 
## [6]  train-mlogloss:0.352441+0.004405    test-mlogloss:0.558921+0.008166 
## [7]  train-mlogloss:0.328655+0.004681    test-mlogloss:0.560209+0.007516 
## [8]  train-mlogloss:0.307104+0.005138    test-mlogloss:0.560766+0.010293 
## [9]  train-mlogloss:0.289930+0.006153    test-mlogloss:0.561518+0.010263 
## [10] train-mlogloss:0.274204+0.006659    test-mlogloss:0.564179+0.010567 
## [11] train-mlogloss:0.259405+0.006642    test-mlogloss:0.567232+0.010342 
## [12] train-mlogloss:0.247275+0.006240    test-mlogloss:0.570539+0.010723 
## [13] train-mlogloss:0.236426+0.007314    test-mlogloss:0.573133+0.011429 
## [14] train-mlogloss:0.227368+0.007636    test-mlogloss:0.575989+0.011055 
## [15] train-mlogloss:0.218305+0.007539    test-mlogloss:0.578179+0.011077 
## [16] train-mlogloss:0.208921+0.007068    test-mlogloss:0.581086+0.011289 
## [17] train-mlogloss:0.202275+0.008266    test-mlogloss:0.583816+0.011600 
## [18] train-mlogloss:0.194987+0.008561    test-mlogloss:0.586001+0.012113 
## [19] train-mlogloss:0.187817+0.009383    test-mlogloss:0.588741+0.012813 
## [20] train-mlogloss:0.181326+0.009446    test-mlogloss:0.591117+0.013367 
## [21] train-mlogloss:0.174685+0.009484    test-mlogloss:0.593397+0.013371 
## [22] train-mlogloss:0.168687+0.008849    test-mlogloss:0.596589+0.014254 
## [23] train-mlogloss:0.163099+0.008623    test-mlogloss:0.598844+0.015412 
## [24] train-mlogloss:0.157845+0.007913    test-mlogloss:0.600518+0.015153 
## [25] train-mlogloss:0.152934+0.007418    test-mlogloss:0.602224+0.015985 
## [26] train-mlogloss:0.147897+0.006971    test-mlogloss:0.603877+0.015016 
## [27] train-mlogloss:0.143221+0.006027    test-mlogloss:0.606236+0.014054 
## [28] train-mlogloss:0.139499+0.005570    test-mlogloss:0.608651+0.014279 
## [29] train-mlogloss:0.135798+0.005673    test-mlogloss:0.610973+0.014523 
## [30] train-mlogloss:0.131691+0.005268    test-mlogloss:0.612803+0.014393 
## [31] train-mlogloss:0.128551+0.005185    test-mlogloss:0.616013+0.014692 
## [32] train-mlogloss:0.124942+0.005014    test-mlogloss:0.617547+0.014791 
## [33] train-mlogloss:0.121397+0.004820    test-mlogloss:0.619723+0.015569 
## [34] train-mlogloss:0.117827+0.004802    test-mlogloss:0.622767+0.016206 
## [35] train-mlogloss:0.114810+0.004392    test-mlogloss:0.625794+0.016351 
## [36] train-mlogloss:0.111997+0.004406    test-mlogloss:0.628246+0.016187 
## [37] train-mlogloss:0.109106+0.004166    test-mlogloss:0.630394+0.017008 
## [38] train-mlogloss:0.106418+0.003741    test-mlogloss:0.632479+0.016765 
## [39] train-mlogloss:0.103895+0.003614    test-mlogloss:0.633826+0.016534 
## [40] train-mlogloss:0.101279+0.003288    test-mlogloss:0.636034+0.016112 
## [41] train-mlogloss:0.098875+0.003307    test-mlogloss:0.638800+0.016602 
## [42] train-mlogloss:0.096850+0.003413    test-mlogloss:0.640073+0.016367 
## [43] train-mlogloss:0.094520+0.003205    test-mlogloss:0.642313+0.016756 
## [44] train-mlogloss:0.092535+0.003168    test-mlogloss:0.644921+0.016776 
## [45] train-mlogloss:0.090639+0.002974    test-mlogloss:0.646579+0.016784 
## [46] train-mlogloss:0.088840+0.002927    test-mlogloss:0.648909+0.017206 
## [47] train-mlogloss:0.086844+0.002835    test-mlogloss:0.650186+0.017591 
## [48] train-mlogloss:0.085220+0.002807    test-mlogloss:0.651626+0.017451 
## [49] train-mlogloss:0.083613+0.002744    test-mlogloss:0.653205+0.017826 
## [50] train-mlogloss:0.082116+0.002693    test-mlogloss:0.654728+0.017834 
## [51] train-mlogloss:0.080585+0.002554    test-mlogloss:0.656694+0.018027 
## [52] train-mlogloss:0.079173+0.002482    test-mlogloss:0.658649+0.017873 
## [53] train-mlogloss:0.077761+0.002310    test-mlogloss:0.660393+0.018230 
## [54] train-mlogloss:0.076244+0.002334    test-mlogloss:0.662283+0.018679 
## [55] train-mlogloss:0.074831+0.002244    test-mlogloss:0.664142+0.018928 
## [56] train-mlogloss:0.073507+0.002180    test-mlogloss:0.665806+0.019362 
## [57] train-mlogloss:0.072176+0.002159    test-mlogloss:0.667185+0.020374 
## [58] train-mlogloss:0.070901+0.002140    test-mlogloss:0.669061+0.020388 
## [59] train-mlogloss:0.069788+0.002134    test-mlogloss:0.670860+0.021083 
## [60] train-mlogloss:0.068595+0.001993    test-mlogloss:0.672760+0.021129 
## [61] train-mlogloss:0.067431+0.001858    test-mlogloss:0.674184+0.020529 
## [62] train-mlogloss:0.066350+0.001895    test-mlogloss:0.675955+0.020788 
## [63] train-mlogloss:0.065331+0.001855    test-mlogloss:0.677656+0.020544 
## [64] train-mlogloss:0.064319+0.001843    test-mlogloss:0.679296+0.020962 
## [65] train-mlogloss:0.063243+0.001756    test-mlogloss:0.681536+0.021262 
## [66] train-mlogloss:0.062274+0.001694    test-mlogloss:0.683052+0.021203 
## [67] train-mlogloss:0.061308+0.001611    test-mlogloss:0.684977+0.021386 
## [68] train-mlogloss:0.060379+0.001607    test-mlogloss:0.686876+0.021798 
## [69] train-mlogloss:0.059449+0.001581    test-mlogloss:0.688488+0.022550 
## [70] train-mlogloss:0.058633+0.001525    test-mlogloss:0.689977+0.022261 
## [71] train-mlogloss:0.057807+0.001481    test-mlogloss:0.691694+0.023052 
## [72] train-mlogloss:0.057063+0.001507    test-mlogloss:0.693001+0.023247 
## [73] train-mlogloss:0.056307+0.001489    test-mlogloss:0.694278+0.022940 
## [74] train-mlogloss:0.055602+0.001480    test-mlogloss:0.695310+0.023478 
## [75] train-mlogloss:0.054911+0.001473    test-mlogloss:0.696521+0.023420 
## [76] train-mlogloss:0.054248+0.001465    test-mlogloss:0.698245+0.023845 
## [77] train-mlogloss:0.053576+0.001428    test-mlogloss:0.699120+0.023712 
## [78] train-mlogloss:0.052854+0.001398    test-mlogloss:0.700550+0.023805 
## [79] train-mlogloss:0.052216+0.001365    test-mlogloss:0.702601+0.024556 
## [80] train-mlogloss:0.051566+0.001381    test-mlogloss:0.704245+0.024215 
## [81] train-mlogloss:0.050979+0.001313    test-mlogloss:0.705831+0.023910 
## [82] train-mlogloss:0.050358+0.001316    test-mlogloss:0.707603+0.024155 
## [83] train-mlogloss:0.049782+0.001332    test-mlogloss:0.708977+0.024202 
## [84] train-mlogloss:0.049225+0.001371    test-mlogloss:0.710284+0.024487 
## [85] train-mlogloss:0.048670+0.001335    test-mlogloss:0.711401+0.024472 
## [86] train-mlogloss:0.048133+0.001289    test-mlogloss:0.712746+0.025030 
## [87] train-mlogloss:0.047601+0.001279    test-mlogloss:0.713661+0.025232 
## [88] train-mlogloss:0.047066+0.001251    test-mlogloss:0.715163+0.025872 
## [89] train-mlogloss:0.046556+0.001221    test-mlogloss:0.716466+0.026498 
## [90] train-mlogloss:0.046051+0.001177    test-mlogloss:0.717898+0.026521 
## [91] train-mlogloss:0.045540+0.001176    test-mlogloss:0.718962+0.026347 
## [92] train-mlogloss:0.044995+0.001140    test-mlogloss:0.720224+0.026466 
## [93] train-mlogloss:0.044549+0.001127    test-mlogloss:0.721575+0.026641 
## [94] train-mlogloss:0.044075+0.001116    test-mlogloss:0.722461+0.026771 
## [95] train-mlogloss:0.043615+0.001109    test-mlogloss:0.723784+0.027486 
## [96] train-mlogloss:0.043188+0.001093    test-mlogloss:0.725128+0.027416 
## [97] train-mlogloss:0.042785+0.001073    test-mlogloss:0.725973+0.027608 
## [98] train-mlogloss:0.042349+0.001055    test-mlogloss:0.727558+0.028087 
## [99] train-mlogloss:0.041935+0.001041    test-mlogloss:0.728845+0.028149 
## [100]    train-mlogloss:0.041532+0.001002    test-mlogloss:0.730023+0.028284 
## [101]    train-mlogloss:0.041128+0.000976    test-mlogloss:0.730782+0.028555 
## [102]    train-mlogloss:0.040743+0.000944    test-mlogloss:0.731927+0.028894 
## [103]    train-mlogloss:0.040353+0.000931    test-mlogloss:0.733308+0.029239 
## [104]    train-mlogloss:0.040012+0.000914    test-mlogloss:0.734337+0.029548 
## [105]    train-mlogloss:0.039659+0.000891    test-mlogloss:0.734989+0.029901 
## [106]    train-mlogloss:0.039299+0.000882    test-mlogloss:0.735601+0.030551 
## [107]    train-mlogloss:0.038954+0.000850    test-mlogloss:0.736138+0.030494 
## [108]    train-mlogloss:0.038594+0.000827    test-mlogloss:0.737167+0.030544 
## [109]    train-mlogloss:0.038273+0.000827    test-mlogloss:0.738405+0.030623 
## [110]    train-mlogloss:0.037947+0.000814    test-mlogloss:0.738998+0.030540 
## [111]    train-mlogloss:0.037632+0.000796    test-mlogloss:0.740540+0.030602 
## [112]    train-mlogloss:0.037315+0.000780    test-mlogloss:0.742137+0.030252 
## [113]    train-mlogloss:0.036997+0.000763    test-mlogloss:0.742857+0.030452 
## [114]    train-mlogloss:0.036705+0.000743    test-mlogloss:0.743939+0.030362 
## [115]    train-mlogloss:0.036416+0.000738    test-mlogloss:0.744798+0.030151 
## [116]    train-mlogloss:0.036116+0.000708    test-mlogloss:0.746078+0.029928 
## [117]    train-mlogloss:0.035836+0.000697    test-mlogloss:0.747495+0.030148 
## [118]    train-mlogloss:0.035563+0.000694    test-mlogloss:0.748426+0.030108 
## [119]    train-mlogloss:0.035287+0.000691    test-mlogloss:0.749511+0.030477 
## [120]    train-mlogloss:0.035006+0.000674    test-mlogloss:0.750288+0.030590 
## [121]    train-mlogloss:0.034733+0.000670    test-mlogloss:0.751305+0.030522 
## [122]    train-mlogloss:0.034470+0.000682    test-mlogloss:0.752103+0.031019 
## [123]    train-mlogloss:0.034222+0.000676    test-mlogloss:0.752810+0.031219 
## [124]    train-mlogloss:0.033970+0.000668    test-mlogloss:0.753892+0.031109 
## [125]    train-mlogloss:0.033704+0.000648    test-mlogloss:0.754814+0.031076 
## [126]    train-mlogloss:0.033470+0.000651    test-mlogloss:0.755414+0.030891 
## [127]    train-mlogloss:0.033235+0.000637    test-mlogloss:0.756560+0.031295 
## [128]    train-mlogloss:0.033002+0.000625    test-mlogloss:0.757722+0.031527 
## [129]    train-mlogloss:0.032763+0.000608    test-mlogloss:0.758829+0.031867 
## [130]    train-mlogloss:0.032538+0.000602    test-mlogloss:0.759671+0.032073 
## [131]    train-mlogloss:0.032325+0.000594    test-mlogloss:0.760220+0.032295 
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## [399]    train-mlogloss:0.013294+0.000145    test-mlogloss:0.887858+0.043625 
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## [464]    train-mlogloss:0.011977+0.000141    test-mlogloss:0.904132+0.045713 
## [465]    train-mlogloss:0.011960+0.000141    test-mlogloss:0.904252+0.045979 
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## [486]    train-mlogloss:0.011598+0.000137    test-mlogloss:0.908670+0.045551 
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## [488]    train-mlogloss:0.011566+0.000133    test-mlogloss:0.909170+0.045637 
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## [490]    train-mlogloss:0.011532+0.000131    test-mlogloss:0.909498+0.045619 
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## [492]    train-mlogloss:0.011501+0.000130    test-mlogloss:0.910192+0.045594 
## [493]    train-mlogloss:0.011485+0.000130    test-mlogloss:0.910551+0.045777 
## [494]    train-mlogloss:0.011470+0.000129    test-mlogloss:0.911018+0.045766 
## [495]    train-mlogloss:0.011454+0.000128    test-mlogloss:0.911176+0.045764 
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## [497]    train-mlogloss:0.011422+0.000129    test-mlogloss:0.911641+0.046306 
## [498]    train-mlogloss:0.011404+0.000128    test-mlogloss:0.911914+0.046317 
## [499]    train-mlogloss:0.011388+0.000127    test-mlogloss:0.911953+0.046020 
## [500]    train-mlogloss:0.011372+0.000126    test-mlogloss:0.912289+0.046002 
## [1]  train-mlogloss:0.540205+0.001293    test-mlogloss:0.556691+0.007635 
## [2]  train-mlogloss:0.509329+0.001905    test-mlogloss:0.538242+0.011222 
## [3]  train-mlogloss:0.496090+0.001850    test-mlogloss:0.538877+0.010826 
## [4]  train-mlogloss:0.488095+0.002830    test-mlogloss:0.539976+0.011521 
## [5]  train-mlogloss:0.480082+0.001735    test-mlogloss:0.543770+0.011836 
## [6]  train-mlogloss:0.474322+0.001920    test-mlogloss:0.546657+0.012175 
## [7]  train-mlogloss:0.467948+0.002022    test-mlogloss:0.549695+0.012696 
## [8]  train-mlogloss:0.460845+0.002448    test-mlogloss:0.552815+0.013074 
## [9]  train-mlogloss:0.454317+0.002885    test-mlogloss:0.555665+0.011760 
## [10] train-mlogloss:0.447505+0.004702    test-mlogloss:0.558075+0.012545 
## [11] train-mlogloss:0.440700+0.004848    test-mlogloss:0.560913+0.012766 
## [12] train-mlogloss:0.435029+0.004835    test-mlogloss:0.560590+0.013997 
## [13] train-mlogloss:0.428453+0.004473    test-mlogloss:0.562860+0.013689 
## [14] train-mlogloss:0.422730+0.003986    test-mlogloss:0.564144+0.013708 
## [15] train-mlogloss:0.417794+0.003472    test-mlogloss:0.566564+0.014532 
## [16] train-mlogloss:0.412220+0.003775    test-mlogloss:0.568283+0.015152 
## [17] train-mlogloss:0.406917+0.003900    test-mlogloss:0.571494+0.013759 
## [18] train-mlogloss:0.402434+0.003241    test-mlogloss:0.573131+0.013684 
## [19] train-mlogloss:0.397139+0.004217    test-mlogloss:0.574866+0.014095 
## [20] train-mlogloss:0.391636+0.004930    test-mlogloss:0.577462+0.014666 
## [21] train-mlogloss:0.386974+0.004681    test-mlogloss:0.578026+0.014317 
## [22] train-mlogloss:0.381763+0.004158    test-mlogloss:0.579743+0.014585 
## [23] train-mlogloss:0.377105+0.003248    test-mlogloss:0.582419+0.013255 
## [24] train-mlogloss:0.372494+0.003295    test-mlogloss:0.584763+0.013518 
## [25] train-mlogloss:0.367668+0.003619    test-mlogloss:0.586542+0.014022 
## [26] train-mlogloss:0.363031+0.002874    test-mlogloss:0.587837+0.013683 
## [27] train-mlogloss:0.359770+0.003772    test-mlogloss:0.589933+0.013770 
## [28] train-mlogloss:0.355383+0.003250    test-mlogloss:0.591688+0.013598 
## [29] train-mlogloss:0.351492+0.003634    test-mlogloss:0.593145+0.014029 
## [30] train-mlogloss:0.345987+0.003165    test-mlogloss:0.595636+0.015147 
## [31] train-mlogloss:0.341639+0.003287    test-mlogloss:0.596750+0.014151 
## [32] train-mlogloss:0.337926+0.003017    test-mlogloss:0.598056+0.014729 
## [33] train-mlogloss:0.333145+0.003078    test-mlogloss:0.600913+0.014278 
## [34] train-mlogloss:0.329342+0.003085    test-mlogloss:0.603515+0.013543 
## [35] train-mlogloss:0.325888+0.002951    test-mlogloss:0.605008+0.013697 
## [36] train-mlogloss:0.321635+0.003480    test-mlogloss:0.606456+0.013270 
## [37] train-mlogloss:0.317910+0.003649    test-mlogloss:0.607288+0.013490 
## [38] train-mlogloss:0.314596+0.004180    test-mlogloss:0.608035+0.014892 
## [39] train-mlogloss:0.311318+0.004396    test-mlogloss:0.610109+0.013887 
## [40] train-mlogloss:0.307209+0.004775    test-mlogloss:0.611883+0.014108 
## [41] train-mlogloss:0.303357+0.004928    test-mlogloss:0.614849+0.014214 
## [42] train-mlogloss:0.300007+0.004297    test-mlogloss:0.616128+0.014505 
## [43] train-mlogloss:0.296586+0.004875    test-mlogloss:0.617203+0.014870 
## [44] train-mlogloss:0.293297+0.005112    test-mlogloss:0.618345+0.013247 
## [45] train-mlogloss:0.288809+0.005080    test-mlogloss:0.621311+0.014192 
## [46] train-mlogloss:0.285657+0.005472    test-mlogloss:0.622785+0.014741 
## [47] train-mlogloss:0.282972+0.005554    test-mlogloss:0.624752+0.015136 
## [48] train-mlogloss:0.280209+0.005740    test-mlogloss:0.625725+0.014953 
## [49] train-mlogloss:0.277034+0.004885    test-mlogloss:0.627617+0.015498 
## [50] train-mlogloss:0.273684+0.005735    test-mlogloss:0.628114+0.015622 
## [51] train-mlogloss:0.270581+0.006339    test-mlogloss:0.630638+0.015780 
## [52] train-mlogloss:0.267510+0.006073    test-mlogloss:0.633143+0.015476 
## [53] train-mlogloss:0.264577+0.006060    test-mlogloss:0.633918+0.015060 
## [54] train-mlogloss:0.261042+0.006634    test-mlogloss:0.635352+0.013635 
## [55] train-mlogloss:0.257079+0.006833    test-mlogloss:0.637440+0.012940 
## [56] train-mlogloss:0.253450+0.006867    test-mlogloss:0.639339+0.012998 
## [57] train-mlogloss:0.250382+0.006368    test-mlogloss:0.641297+0.013687 
## [58] train-mlogloss:0.247540+0.005860    test-mlogloss:0.643149+0.014624 
## [59] train-mlogloss:0.244729+0.005883    test-mlogloss:0.645518+0.013938 
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## [61] train-mlogloss:0.239281+0.006723    test-mlogloss:0.648233+0.011682 
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## [64] train-mlogloss:0.230570+0.007296    test-mlogloss:0.651792+0.011054 
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## [71] train-mlogloss:0.212254+0.004796    test-mlogloss:0.666204+0.010145 
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## [74] train-mlogloss:0.205929+0.005227    test-mlogloss:0.669080+0.011400 
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## [77] train-mlogloss:0.198924+0.005167    test-mlogloss:0.673895+0.011740 
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## [81] train-mlogloss:0.191109+0.003929    test-mlogloss:0.680397+0.013310 
## [82] train-mlogloss:0.188973+0.003900    test-mlogloss:0.681345+0.013390 
## [83] train-mlogloss:0.187022+0.003972    test-mlogloss:0.682357+0.013264 
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## [87] train-mlogloss:0.179179+0.003901    test-mlogloss:0.688814+0.012189 
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## [93] train-mlogloss:0.167879+0.003666    test-mlogloss:0.696554+0.012311 
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## [453]    train-mlogloss:0.017349+0.000217    test-mlogloss:1.032926+0.032858 
## [454]    train-mlogloss:0.017288+0.000235    test-mlogloss:1.033496+0.032184 
## [455]    train-mlogloss:0.017240+0.000227    test-mlogloss:1.033883+0.032624 
## [456]    train-mlogloss:0.017181+0.000221    test-mlogloss:1.034646+0.032621 
## [457]    train-mlogloss:0.017129+0.000227    test-mlogloss:1.035127+0.032662 
## [458]    train-mlogloss:0.017081+0.000220    test-mlogloss:1.035614+0.032621 
## [459]    train-mlogloss:0.017027+0.000222    test-mlogloss:1.036590+0.032685 
## [460]    train-mlogloss:0.016978+0.000217    test-mlogloss:1.036869+0.032189 
## [461]    train-mlogloss:0.016924+0.000217    test-mlogloss:1.037200+0.031812 
## [462]    train-mlogloss:0.016872+0.000213    test-mlogloss:1.038226+0.031505 
## [463]    train-mlogloss:0.016825+0.000216    test-mlogloss:1.038900+0.032174 
## [464]    train-mlogloss:0.016788+0.000207    test-mlogloss:1.038499+0.031643 
## [465]    train-mlogloss:0.016740+0.000214    test-mlogloss:1.038766+0.031067 
## [466]    train-mlogloss:0.016694+0.000212    test-mlogloss:1.039960+0.031549 
## [467]    train-mlogloss:0.016650+0.000221    test-mlogloss:1.039849+0.031971 
## [468]    train-mlogloss:0.016587+0.000218    test-mlogloss:1.040504+0.031619 
## [469]    train-mlogloss:0.016552+0.000223    test-mlogloss:1.040219+0.030848 
## [470]    train-mlogloss:0.016501+0.000231    test-mlogloss:1.040632+0.031524 
## [471]    train-mlogloss:0.016441+0.000238    test-mlogloss:1.041165+0.031910 
## [472]    train-mlogloss:0.016394+0.000250    test-mlogloss:1.042189+0.031863 
## [473]    train-mlogloss:0.016354+0.000254    test-mlogloss:1.042623+0.031938 
## [474]    train-mlogloss:0.016313+0.000252    test-mlogloss:1.042783+0.032944 
## [475]    train-mlogloss:0.016270+0.000245    test-mlogloss:1.043733+0.033255 
## [476]    train-mlogloss:0.016226+0.000242    test-mlogloss:1.044396+0.032861 
## [477]    train-mlogloss:0.016189+0.000239    test-mlogloss:1.044957+0.032646 
## [478]    train-mlogloss:0.016149+0.000230    test-mlogloss:1.044997+0.031994 
## [479]    train-mlogloss:0.016105+0.000227    test-mlogloss:1.045517+0.032610 
## [480]    train-mlogloss:0.016061+0.000231    test-mlogloss:1.045593+0.032251 
## [481]    train-mlogloss:0.016019+0.000227    test-mlogloss:1.046736+0.032655 
## [482]    train-mlogloss:0.015985+0.000234    test-mlogloss:1.047579+0.032523 
## [483]    train-mlogloss:0.015941+0.000216    test-mlogloss:1.048003+0.032566 
## [484]    train-mlogloss:0.015892+0.000218    test-mlogloss:1.048141+0.032256 
## [485]    train-mlogloss:0.015851+0.000210    test-mlogloss:1.049165+0.032129 
## [486]    train-mlogloss:0.015796+0.000202    test-mlogloss:1.049506+0.032436 
## [487]    train-mlogloss:0.015738+0.000216    test-mlogloss:1.050224+0.032421 
## [488]    train-mlogloss:0.015677+0.000218    test-mlogloss:1.050631+0.032337 
## [489]    train-mlogloss:0.015639+0.000206    test-mlogloss:1.050510+0.032201 
## [490]    train-mlogloss:0.015593+0.000199    test-mlogloss:1.051073+0.031726 
## [491]    train-mlogloss:0.015532+0.000187    test-mlogloss:1.051225+0.031107 
## [492]    train-mlogloss:0.015487+0.000184    test-mlogloss:1.051664+0.031036 
## [493]    train-mlogloss:0.015446+0.000193    test-mlogloss:1.052859+0.031047 
## [494]    train-mlogloss:0.015401+0.000190    test-mlogloss:1.053941+0.031177 
## [495]    train-mlogloss:0.015361+0.000193    test-mlogloss:1.053678+0.030901 
## [496]    train-mlogloss:0.015320+0.000180    test-mlogloss:1.054207+0.031103 
## [497]    train-mlogloss:0.015281+0.000182    test-mlogloss:1.054480+0.030815 
## [498]    train-mlogloss:0.015244+0.000177    test-mlogloss:1.055057+0.030856 
## [499]    train-mlogloss:0.015209+0.000180    test-mlogloss:1.055030+0.030582 
## [500]    train-mlogloss:0.015160+0.000176    test-mlogloss:1.055515+0.030521 
## [1]  train-mlogloss:0.469562+0.009275    test-mlogloss:0.580674+0.006913 
## [2]  train-mlogloss:0.380186+0.010236    test-mlogloss:0.578209+0.012668 
## [3]  train-mlogloss:0.319876+0.007378    test-mlogloss:0.592151+0.014677 
## [4]  train-mlogloss:0.276104+0.007236    test-mlogloss:0.607454+0.018391 
## [5]  train-mlogloss:0.243795+0.006830    test-mlogloss:0.621769+0.019208 
## [6]  train-mlogloss:0.215769+0.005764    test-mlogloss:0.637146+0.018362 
## [7]  train-mlogloss:0.196470+0.003669    test-mlogloss:0.647593+0.016247 
## [8]  train-mlogloss:0.177385+0.003661    test-mlogloss:0.658033+0.016281 
## [9]  train-mlogloss:0.161948+0.001375    test-mlogloss:0.668353+0.012737 
## [10] train-mlogloss:0.147961+0.001966    test-mlogloss:0.678020+0.014629 
## [11] train-mlogloss:0.135977+0.000861    test-mlogloss:0.687212+0.013128 
## [12] train-mlogloss:0.124932+0.000961    test-mlogloss:0.694706+0.014750 
## [13] train-mlogloss:0.116408+0.001037    test-mlogloss:0.703727+0.014799 
## [14] train-mlogloss:0.108291+0.001175    test-mlogloss:0.713067+0.013982 
## [15] train-mlogloss:0.100907+0.000995    test-mlogloss:0.718410+0.013136 
## [16] train-mlogloss:0.094179+0.000847    test-mlogloss:0.724374+0.013884 
## [17] train-mlogloss:0.088356+0.000954    test-mlogloss:0.728774+0.014497 
## [18] train-mlogloss:0.083745+0.001425    test-mlogloss:0.733810+0.013930 
## [19] train-mlogloss:0.079383+0.001433    test-mlogloss:0.739525+0.014423 
## [20] train-mlogloss:0.075314+0.001334    test-mlogloss:0.745749+0.013819 
## [21] train-mlogloss:0.071544+0.001210    test-mlogloss:0.750684+0.012542 
## [22] train-mlogloss:0.068286+0.001279    test-mlogloss:0.757136+0.012121 
## [23] train-mlogloss:0.065228+0.001210    test-mlogloss:0.762053+0.011799 
## [24] train-mlogloss:0.062505+0.000928    test-mlogloss:0.767670+0.010072 
## [25] train-mlogloss:0.059941+0.000861    test-mlogloss:0.773953+0.009499 
## [26] train-mlogloss:0.057625+0.000944    test-mlogloss:0.778297+0.009698 
## [27] train-mlogloss:0.055482+0.000801    test-mlogloss:0.781903+0.009514 
## [28] train-mlogloss:0.053532+0.000640    test-mlogloss:0.784989+0.010186 
## [29] train-mlogloss:0.051669+0.000494    test-mlogloss:0.789461+0.010520 
## [30] train-mlogloss:0.049873+0.000481    test-mlogloss:0.791554+0.009865 
## [31] train-mlogloss:0.048351+0.000475    test-mlogloss:0.793981+0.009125 
## [32] train-mlogloss:0.046875+0.000398    test-mlogloss:0.798572+0.008697 
## [33] train-mlogloss:0.045375+0.000403    test-mlogloss:0.801026+0.009212 
## [34] train-mlogloss:0.044058+0.000413    test-mlogloss:0.805165+0.008457 
## [35] train-mlogloss:0.042772+0.000429    test-mlogloss:0.810645+0.009353 
## [36] train-mlogloss:0.041619+0.000348    test-mlogloss:0.813616+0.009148 
## [37] train-mlogloss:0.040526+0.000322    test-mlogloss:0.815555+0.008866 
## [38] train-mlogloss:0.039481+0.000362    test-mlogloss:0.818226+0.009425 
## [39] train-mlogloss:0.038598+0.000359    test-mlogloss:0.822051+0.011198 
## [40] train-mlogloss:0.037708+0.000371    test-mlogloss:0.825027+0.010569 
## [41] train-mlogloss:0.036905+0.000310    test-mlogloss:0.829218+0.012287 
## [42] train-mlogloss:0.036114+0.000335    test-mlogloss:0.832252+0.013297 
## [43] train-mlogloss:0.035350+0.000341    test-mlogloss:0.833611+0.013059 
## [44] train-mlogloss:0.034632+0.000369    test-mlogloss:0.836212+0.014185 
## [45] train-mlogloss:0.033932+0.000332    test-mlogloss:0.838608+0.014543 
## [46] train-mlogloss:0.033201+0.000344    test-mlogloss:0.841101+0.013671 
## [47] train-mlogloss:0.032613+0.000350    test-mlogloss:0.844447+0.013690 
## [48] train-mlogloss:0.031984+0.000340    test-mlogloss:0.845754+0.013706 
## [49] train-mlogloss:0.031431+0.000349    test-mlogloss:0.846917+0.014042 
## [50] train-mlogloss:0.030838+0.000332    test-mlogloss:0.849867+0.015527 
## [51] train-mlogloss:0.030331+0.000337    test-mlogloss:0.852328+0.016523 
## [52] train-mlogloss:0.029837+0.000339    test-mlogloss:0.853425+0.016144 
## [53] train-mlogloss:0.029320+0.000323    test-mlogloss:0.855893+0.017066 
## [54] train-mlogloss:0.028869+0.000314    test-mlogloss:0.857074+0.016275 
## [55] train-mlogloss:0.028419+0.000289    test-mlogloss:0.858583+0.016220 
## [56] train-mlogloss:0.027970+0.000314    test-mlogloss:0.860533+0.016869 
## [57] train-mlogloss:0.027550+0.000288    test-mlogloss:0.861890+0.018063 
## [58] train-mlogloss:0.027163+0.000265    test-mlogloss:0.864427+0.018277 
## [59] train-mlogloss:0.026768+0.000254    test-mlogloss:0.865691+0.019142 
## [60] train-mlogloss:0.026386+0.000298    test-mlogloss:0.869016+0.019009 
## [61] train-mlogloss:0.026032+0.000289    test-mlogloss:0.871239+0.019027 
## [62] train-mlogloss:0.025672+0.000271    test-mlogloss:0.872919+0.019061 
## [63] train-mlogloss:0.025345+0.000289    test-mlogloss:0.873322+0.019598 
## [64] train-mlogloss:0.024995+0.000270    test-mlogloss:0.875368+0.020265 
## [65] train-mlogloss:0.024670+0.000263    test-mlogloss:0.877647+0.021231 
## [66] train-mlogloss:0.024366+0.000262    test-mlogloss:0.879809+0.021189 
## [67] train-mlogloss:0.024045+0.000255    test-mlogloss:0.881750+0.021243 
## [68] train-mlogloss:0.023746+0.000258    test-mlogloss:0.883374+0.020615 
## [69] train-mlogloss:0.023471+0.000258    test-mlogloss:0.884959+0.021474 
## [70] train-mlogloss:0.023194+0.000252    test-mlogloss:0.886413+0.021059 
## [71] train-mlogloss:0.022920+0.000256    test-mlogloss:0.887375+0.021863 
## [72] train-mlogloss:0.022663+0.000263    test-mlogloss:0.889297+0.023031 
## [73] train-mlogloss:0.022414+0.000271    test-mlogloss:0.890704+0.021497 
## [74] train-mlogloss:0.022172+0.000276    test-mlogloss:0.892498+0.021082 
## [75] train-mlogloss:0.021943+0.000257    test-mlogloss:0.893264+0.021587 
## [76] train-mlogloss:0.021721+0.000259    test-mlogloss:0.894230+0.020827 
## [77] train-mlogloss:0.021471+0.000245    test-mlogloss:0.896329+0.019803 
## [78] train-mlogloss:0.021254+0.000255    test-mlogloss:0.898204+0.020160 
## [79] train-mlogloss:0.021025+0.000259    test-mlogloss:0.899715+0.020146 
## [80] train-mlogloss:0.020820+0.000259    test-mlogloss:0.901439+0.021525 
## [81] train-mlogloss:0.020616+0.000253    test-mlogloss:0.902905+0.022093 
## [82] train-mlogloss:0.020419+0.000264    test-mlogloss:0.903413+0.022069 
## [83] train-mlogloss:0.020226+0.000260    test-mlogloss:0.905276+0.021940 
## [84] train-mlogloss:0.020034+0.000266    test-mlogloss:0.907461+0.021976 
## [85] train-mlogloss:0.019833+0.000254    test-mlogloss:0.909376+0.022292 
## [86] train-mlogloss:0.019644+0.000239    test-mlogloss:0.909989+0.023097 
## [87] train-mlogloss:0.019475+0.000233    test-mlogloss:0.911137+0.023323 
## [88] train-mlogloss:0.019292+0.000223    test-mlogloss:0.913678+0.023540 
## [89] train-mlogloss:0.019121+0.000229    test-mlogloss:0.914358+0.023267 
## [90] train-mlogloss:0.018955+0.000222    test-mlogloss:0.916101+0.023541 
## [91] train-mlogloss:0.018785+0.000229    test-mlogloss:0.916648+0.024276 
## [92] train-mlogloss:0.018633+0.000221    test-mlogloss:0.916986+0.024718 
## [93] train-mlogloss:0.018487+0.000222    test-mlogloss:0.918334+0.024478 
## [94] train-mlogloss:0.018342+0.000203    test-mlogloss:0.919043+0.024467 
## [95] train-mlogloss:0.018187+0.000210    test-mlogloss:0.919479+0.024486 
## [96] train-mlogloss:0.018030+0.000201    test-mlogloss:0.920430+0.025136 
## [97] train-mlogloss:0.017889+0.000215    test-mlogloss:0.921700+0.025512 
## [98] train-mlogloss:0.017749+0.000203    test-mlogloss:0.922694+0.025847 
## [99] train-mlogloss:0.017605+0.000205    test-mlogloss:0.923765+0.025560 
## [100]    train-mlogloss:0.017463+0.000211    test-mlogloss:0.925348+0.025311 
## [101]    train-mlogloss:0.017325+0.000201    test-mlogloss:0.926231+0.025600 
## [102]    train-mlogloss:0.017198+0.000205    test-mlogloss:0.926945+0.026818 
## [103]    train-mlogloss:0.017077+0.000202    test-mlogloss:0.928122+0.026210 
## [104]    train-mlogloss:0.016949+0.000200    test-mlogloss:0.929131+0.026111 
## [105]    train-mlogloss:0.016828+0.000189    test-mlogloss:0.929690+0.027147 
## [106]    train-mlogloss:0.016706+0.000183    test-mlogloss:0.930439+0.027189 
## [107]    train-mlogloss:0.016585+0.000196    test-mlogloss:0.931994+0.027566 
## [108]    train-mlogloss:0.016472+0.000198    test-mlogloss:0.933021+0.027670 
## [109]    train-mlogloss:0.016349+0.000192    test-mlogloss:0.934070+0.027665 
## [110]    train-mlogloss:0.016233+0.000195    test-mlogloss:0.935274+0.028025 
## [111]    train-mlogloss:0.016121+0.000194    test-mlogloss:0.936386+0.028328 
## [112]    train-mlogloss:0.016011+0.000196    test-mlogloss:0.936845+0.027154 
## [113]    train-mlogloss:0.015903+0.000188    test-mlogloss:0.938677+0.027926 
## [114]    train-mlogloss:0.015798+0.000181    test-mlogloss:0.939679+0.027999 
## [115]    train-mlogloss:0.015695+0.000171    test-mlogloss:0.941076+0.028204 
## [116]    train-mlogloss:0.015600+0.000158    test-mlogloss:0.940912+0.028806 
## [117]    train-mlogloss:0.015506+0.000157    test-mlogloss:0.942233+0.028800 
## [118]    train-mlogloss:0.015418+0.000152    test-mlogloss:0.943893+0.030003 
## [119]    train-mlogloss:0.015316+0.000157    test-mlogloss:0.944386+0.029650 
## [120]    train-mlogloss:0.015229+0.000147    test-mlogloss:0.945860+0.028962 
## [121]    train-mlogloss:0.015129+0.000139    test-mlogloss:0.947178+0.029083 
## [122]    train-mlogloss:0.015041+0.000135    test-mlogloss:0.948296+0.028415 
## [123]    train-mlogloss:0.014957+0.000138    test-mlogloss:0.948799+0.029034 
## [124]    train-mlogloss:0.014879+0.000140    test-mlogloss:0.950037+0.029325 
## [125]    train-mlogloss:0.014793+0.000133    test-mlogloss:0.951442+0.030021 
## [126]    train-mlogloss:0.014701+0.000135    test-mlogloss:0.952875+0.030333 
## [127]    train-mlogloss:0.014618+0.000134    test-mlogloss:0.952987+0.030123 
## [128]    train-mlogloss:0.014538+0.000132    test-mlogloss:0.954044+0.031124 
## [129]    train-mlogloss:0.014444+0.000135    test-mlogloss:0.954887+0.031028 
## [130]    train-mlogloss:0.014372+0.000137    test-mlogloss:0.955918+0.030694 
## [131]    train-mlogloss:0.014291+0.000136    test-mlogloss:0.956639+0.030362 
## [132]    train-mlogloss:0.014220+0.000139    test-mlogloss:0.958099+0.030492 
## [133]    train-mlogloss:0.014144+0.000144    test-mlogloss:0.958041+0.031069 
## [134]    train-mlogloss:0.014071+0.000145    test-mlogloss:0.958285+0.031623 
## [135]    train-mlogloss:0.013993+0.000145    test-mlogloss:0.958799+0.030808 
## [136]    train-mlogloss:0.013918+0.000146    test-mlogloss:0.959877+0.030059 
## [137]    train-mlogloss:0.013849+0.000142    test-mlogloss:0.961172+0.029856 
## [138]    train-mlogloss:0.013775+0.000147    test-mlogloss:0.962719+0.029420 
## [139]    train-mlogloss:0.013705+0.000136    test-mlogloss:0.963013+0.029061 
## [140]    train-mlogloss:0.013636+0.000136    test-mlogloss:0.963331+0.028561 
## [141]    train-mlogloss:0.013566+0.000129    test-mlogloss:0.963939+0.028705 
## [142]    train-mlogloss:0.013498+0.000126    test-mlogloss:0.964681+0.029696 
## [143]    train-mlogloss:0.013427+0.000130    test-mlogloss:0.966394+0.029786 
## [144]    train-mlogloss:0.013365+0.000132    test-mlogloss:0.966636+0.030051 
## [145]    train-mlogloss:0.013307+0.000131    test-mlogloss:0.967201+0.030215 
## [146]    train-mlogloss:0.013239+0.000133    test-mlogloss:0.967901+0.029988 
## [147]    train-mlogloss:0.013172+0.000128    test-mlogloss:0.968698+0.029562 
## [148]    train-mlogloss:0.013106+0.000123    test-mlogloss:0.968705+0.029032 
## [149]    train-mlogloss:0.013046+0.000124    test-mlogloss:0.969506+0.028627 
## [150]    train-mlogloss:0.012984+0.000123    test-mlogloss:0.970382+0.028927 
## [151]    train-mlogloss:0.012923+0.000117    test-mlogloss:0.970976+0.029146 
## [152]    train-mlogloss:0.012862+0.000114    test-mlogloss:0.971391+0.028524 
## [153]    train-mlogloss:0.012806+0.000116    test-mlogloss:0.971810+0.028455 
## [154]    train-mlogloss:0.012749+0.000116    test-mlogloss:0.972345+0.028866 
## [155]    train-mlogloss:0.012691+0.000114    test-mlogloss:0.973112+0.028870 
## [156]    train-mlogloss:0.012628+0.000118    test-mlogloss:0.974656+0.029141 
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## [406]    train-mlogloss:0.006900+0.000053    test-mlogloss:1.071976+0.036584 
## [407]    train-mlogloss:0.006891+0.000051    test-mlogloss:1.071754+0.036338 
## [408]    train-mlogloss:0.006882+0.000052    test-mlogloss:1.071824+0.036213 
## [409]    train-mlogloss:0.006872+0.000053    test-mlogloss:1.072705+0.036438 
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## [411]    train-mlogloss:0.006854+0.000052    test-mlogloss:1.071846+0.036704 
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## [413]    train-mlogloss:0.006836+0.000051    test-mlogloss:1.073421+0.036989 
## [414]    train-mlogloss:0.006826+0.000053    test-mlogloss:1.073589+0.036936 
## [415]    train-mlogloss:0.006817+0.000053    test-mlogloss:1.074161+0.036682 
## [416]    train-mlogloss:0.006809+0.000053    test-mlogloss:1.074552+0.037457 
## [417]    train-mlogloss:0.006799+0.000053    test-mlogloss:1.074889+0.037479 
## [418]    train-mlogloss:0.006789+0.000052    test-mlogloss:1.074537+0.037255 
## [419]    train-mlogloss:0.006781+0.000052    test-mlogloss:1.074178+0.037251 
## [420]    train-mlogloss:0.006771+0.000054    test-mlogloss:1.074693+0.037320 
## [421]    train-mlogloss:0.006761+0.000054    test-mlogloss:1.075088+0.037157 
## [422]    train-mlogloss:0.006751+0.000056    test-mlogloss:1.075419+0.036861 
## [423]    train-mlogloss:0.006741+0.000055    test-mlogloss:1.075800+0.036571 
## [424]    train-mlogloss:0.006732+0.000053    test-mlogloss:1.075733+0.036614 
## [425]    train-mlogloss:0.006724+0.000053    test-mlogloss:1.075874+0.036981 
## [426]    train-mlogloss:0.006715+0.000054    test-mlogloss:1.075771+0.036861 
## [427]    train-mlogloss:0.006706+0.000055    test-mlogloss:1.076043+0.036904 
## [428]    train-mlogloss:0.006696+0.000057    test-mlogloss:1.076523+0.036559 
## [429]    train-mlogloss:0.006687+0.000059    test-mlogloss:1.077048+0.036666 
## [430]    train-mlogloss:0.006678+0.000060    test-mlogloss:1.077070+0.037385 
## [431]    train-mlogloss:0.006670+0.000062    test-mlogloss:1.076931+0.037111 
## [432]    train-mlogloss:0.006662+0.000062    test-mlogloss:1.077984+0.037058 
## [433]    train-mlogloss:0.006654+0.000061    test-mlogloss:1.077634+0.036998 
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## [435]    train-mlogloss:0.006637+0.000061    test-mlogloss:1.078726+0.037578 
## [436]    train-mlogloss:0.006630+0.000062    test-mlogloss:1.078845+0.037304 
## [437]    train-mlogloss:0.006621+0.000061    test-mlogloss:1.078621+0.037201 
## [438]    train-mlogloss:0.006612+0.000062    test-mlogloss:1.079014+0.036996 
## [439]    train-mlogloss:0.006602+0.000061    test-mlogloss:1.078737+0.037422 
## [440]    train-mlogloss:0.006594+0.000059    test-mlogloss:1.079337+0.037089 
## [441]    train-mlogloss:0.006587+0.000061    test-mlogloss:1.079609+0.036852 
## [442]    train-mlogloss:0.006579+0.000059    test-mlogloss:1.079945+0.036658 
## [443]    train-mlogloss:0.006570+0.000060    test-mlogloss:1.079937+0.036972 
## [444]    train-mlogloss:0.006561+0.000060    test-mlogloss:1.079889+0.037113 
## [445]    train-mlogloss:0.006552+0.000059    test-mlogloss:1.079972+0.037140 
## [446]    train-mlogloss:0.006544+0.000061    test-mlogloss:1.080660+0.036985 
## [447]    train-mlogloss:0.006536+0.000062    test-mlogloss:1.080548+0.036903 
## [448]    train-mlogloss:0.006528+0.000062    test-mlogloss:1.081221+0.036794 
## [449]    train-mlogloss:0.006520+0.000063    test-mlogloss:1.081763+0.037022 
## [450]    train-mlogloss:0.006513+0.000063    test-mlogloss:1.081994+0.037260 
## [451]    train-mlogloss:0.006505+0.000065    test-mlogloss:1.082274+0.037584 
## [452]    train-mlogloss:0.006498+0.000063    test-mlogloss:1.082024+0.037360 
## [453]    train-mlogloss:0.006491+0.000063    test-mlogloss:1.082377+0.037509 
## [454]    train-mlogloss:0.006484+0.000062    test-mlogloss:1.082091+0.037386 
## [455]    train-mlogloss:0.006477+0.000064    test-mlogloss:1.082297+0.037663 
## [456]    train-mlogloss:0.006469+0.000063    test-mlogloss:1.082885+0.036900 
## [457]    train-mlogloss:0.006460+0.000062    test-mlogloss:1.082912+0.036616 
## [458]    train-mlogloss:0.006453+0.000063    test-mlogloss:1.083584+0.036860 
## [459]    train-mlogloss:0.006444+0.000062    test-mlogloss:1.083217+0.036908 
## [460]    train-mlogloss:0.006437+0.000061    test-mlogloss:1.083548+0.037093 
## [461]    train-mlogloss:0.006429+0.000060    test-mlogloss:1.083845+0.037201 
## [462]    train-mlogloss:0.006421+0.000060    test-mlogloss:1.084152+0.037070 
## [463]    train-mlogloss:0.006414+0.000060    test-mlogloss:1.084109+0.037043 
## [464]    train-mlogloss:0.006405+0.000059    test-mlogloss:1.084677+0.036602 
## [465]    train-mlogloss:0.006398+0.000057    test-mlogloss:1.085331+0.036797 
## [466]    train-mlogloss:0.006389+0.000058    test-mlogloss:1.085575+0.037498 
## [467]    train-mlogloss:0.006381+0.000056    test-mlogloss:1.085603+0.037181 
## [468]    train-mlogloss:0.006375+0.000057    test-mlogloss:1.085195+0.037320 
## [469]    train-mlogloss:0.006369+0.000058    test-mlogloss:1.085224+0.037572 
## [470]    train-mlogloss:0.006363+0.000056    test-mlogloss:1.085693+0.038059 
## [471]    train-mlogloss:0.006355+0.000056    test-mlogloss:1.085530+0.038011 
## [472]    train-mlogloss:0.006347+0.000056    test-mlogloss:1.086026+0.038105 
## [473]    train-mlogloss:0.006339+0.000056    test-mlogloss:1.086807+0.038227 
## [474]    train-mlogloss:0.006331+0.000058    test-mlogloss:1.086969+0.038419 
## [475]    train-mlogloss:0.006323+0.000056    test-mlogloss:1.086819+0.038097 
## [476]    train-mlogloss:0.006316+0.000056    test-mlogloss:1.087017+0.038074 
## [477]    train-mlogloss:0.006307+0.000055    test-mlogloss:1.087842+0.038185 
## [478]    train-mlogloss:0.006299+0.000053    test-mlogloss:1.087939+0.038056 
## [479]    train-mlogloss:0.006292+0.000054    test-mlogloss:1.087891+0.038229 
## [480]    train-mlogloss:0.006285+0.000054    test-mlogloss:1.087310+0.038080 
## [481]    train-mlogloss:0.006279+0.000053    test-mlogloss:1.087216+0.038245 
## [482]    train-mlogloss:0.006269+0.000054    test-mlogloss:1.087469+0.038062 
## [483]    train-mlogloss:0.006263+0.000055    test-mlogloss:1.088112+0.038290 
## [484]    train-mlogloss:0.006255+0.000055    test-mlogloss:1.088409+0.038418 
## [485]    train-mlogloss:0.006248+0.000054    test-mlogloss:1.088668+0.038253 
## [486]    train-mlogloss:0.006242+0.000052    test-mlogloss:1.088658+0.038394 
## [487]    train-mlogloss:0.006236+0.000052    test-mlogloss:1.088908+0.038971 
## [488]    train-mlogloss:0.006229+0.000052    test-mlogloss:1.089360+0.038715 
## [489]    train-mlogloss:0.006221+0.000051    test-mlogloss:1.089008+0.038663 
## [490]    train-mlogloss:0.006214+0.000051    test-mlogloss:1.089692+0.038661 
## [491]    train-mlogloss:0.006207+0.000052    test-mlogloss:1.090024+0.038785 
## [492]    train-mlogloss:0.006200+0.000052    test-mlogloss:1.090302+0.038637 
## [493]    train-mlogloss:0.006194+0.000051    test-mlogloss:1.090594+0.038796 
## [494]    train-mlogloss:0.006188+0.000050    test-mlogloss:1.090540+0.038727 
## [495]    train-mlogloss:0.006182+0.000050    test-mlogloss:1.090480+0.038412 
## [496]    train-mlogloss:0.006175+0.000049    test-mlogloss:1.090663+0.038693 
## [497]    train-mlogloss:0.006170+0.000049    test-mlogloss:1.090807+0.038760 
## [498]    train-mlogloss:0.006162+0.000049    test-mlogloss:1.091544+0.038657 
## [499]    train-mlogloss:0.006155+0.000049    test-mlogloss:1.091603+0.038998 
## [500]    train-mlogloss:0.006147+0.000050    test-mlogloss:1.091749+0.039050 
## [1]  train-mlogloss:0.527769+0.004119    test-mlogloss:0.550559+0.010794 
## [2]  train-mlogloss:0.504581+0.002934    test-mlogloss:0.543895+0.009426 
## [3]  train-mlogloss:0.494266+0.002877    test-mlogloss:0.546241+0.009936 
## [4]  train-mlogloss:0.486686+0.004556    test-mlogloss:0.547893+0.010927 
## [5]  train-mlogloss:0.479553+0.006499    test-mlogloss:0.550635+0.013731 
## [6]  train-mlogloss:0.471050+0.005440    test-mlogloss:0.553013+0.012744 
## [7]  train-mlogloss:0.461781+0.003520    test-mlogloss:0.556496+0.012292 
## [8]  train-mlogloss:0.452729+0.002034    test-mlogloss:0.562244+0.012742 
## [9]  train-mlogloss:0.446229+0.004483    test-mlogloss:0.564572+0.013736 
## [10] train-mlogloss:0.439108+0.005232    test-mlogloss:0.569304+0.014077 
## [11] train-mlogloss:0.432585+0.005506    test-mlogloss:0.572559+0.015985 
## [12] train-mlogloss:0.425522+0.005771    test-mlogloss:0.575577+0.016083 
## [13] train-mlogloss:0.419264+0.006182    test-mlogloss:0.580231+0.017128 
## [14] train-mlogloss:0.413049+0.005572    test-mlogloss:0.582012+0.017701 
## [15] train-mlogloss:0.406826+0.005263    test-mlogloss:0.587616+0.016329 
## [16] train-mlogloss:0.399059+0.004989    test-mlogloss:0.590473+0.014987 
## [17] train-mlogloss:0.392152+0.004630    test-mlogloss:0.592430+0.016284 
## [18] train-mlogloss:0.386009+0.004681    test-mlogloss:0.597549+0.015234 
## [19] train-mlogloss:0.380952+0.005270    test-mlogloss:0.601156+0.015275 
## [20] train-mlogloss:0.374858+0.003297    test-mlogloss:0.605577+0.014593 
## [21] train-mlogloss:0.369855+0.002788    test-mlogloss:0.609106+0.014021 
## [22] train-mlogloss:0.364717+0.003169    test-mlogloss:0.611297+0.012629 
## [23] train-mlogloss:0.359587+0.003334    test-mlogloss:0.612880+0.011652 
## [24] train-mlogloss:0.354436+0.002817    test-mlogloss:0.616043+0.012345 
## [25] train-mlogloss:0.348360+0.002353    test-mlogloss:0.617606+0.013309 
## [26] train-mlogloss:0.341965+0.003601    test-mlogloss:0.621552+0.013437 
## [27] train-mlogloss:0.336287+0.002504    test-mlogloss:0.624458+0.012071 
## [28] train-mlogloss:0.330921+0.001453    test-mlogloss:0.626566+0.012989 
## [29] train-mlogloss:0.325465+0.002064    test-mlogloss:0.627766+0.014366 
## [30] train-mlogloss:0.320379+0.001554    test-mlogloss:0.630075+0.014985 
## [31] train-mlogloss:0.316382+0.002001    test-mlogloss:0.632591+0.016003 
## [32] train-mlogloss:0.311761+0.002323    test-mlogloss:0.633830+0.017428 
## [33] train-mlogloss:0.306958+0.002828    test-mlogloss:0.638194+0.017116 
## [34] train-mlogloss:0.303171+0.002760    test-mlogloss:0.640255+0.017134 
## [35] train-mlogloss:0.298866+0.003312    test-mlogloss:0.642118+0.017560 
## [36] train-mlogloss:0.293884+0.004127    test-mlogloss:0.644247+0.018349 
## [37] train-mlogloss:0.290592+0.004387    test-mlogloss:0.647065+0.018890 
## [38] train-mlogloss:0.286464+0.004317    test-mlogloss:0.649369+0.017889 
## [39] train-mlogloss:0.282115+0.005297    test-mlogloss:0.651505+0.016192 
## [40] train-mlogloss:0.278475+0.005727    test-mlogloss:0.653642+0.017910 
## [41] train-mlogloss:0.274458+0.006827    test-mlogloss:0.653534+0.017592 
## [42] train-mlogloss:0.270195+0.006528    test-mlogloss:0.656034+0.018058 
## [43] train-mlogloss:0.266400+0.005430    test-mlogloss:0.657420+0.018298 
## [44] train-mlogloss:0.263381+0.005472    test-mlogloss:0.658744+0.019350 
## [45] train-mlogloss:0.260131+0.005536    test-mlogloss:0.661386+0.020333 
## [46] train-mlogloss:0.255890+0.005451    test-mlogloss:0.663123+0.020758 
## [47] train-mlogloss:0.251678+0.005377    test-mlogloss:0.664807+0.019304 
## [48] train-mlogloss:0.247307+0.005218    test-mlogloss:0.668036+0.020374 
## [49] train-mlogloss:0.243464+0.004892    test-mlogloss:0.672491+0.019863 
## [50] train-mlogloss:0.239869+0.005604    test-mlogloss:0.675729+0.020297 
## [51] train-mlogloss:0.236371+0.004911    test-mlogloss:0.676215+0.018863 
## [52] train-mlogloss:0.232755+0.004741    test-mlogloss:0.680717+0.018743 
## [53] train-mlogloss:0.229912+0.005336    test-mlogloss:0.683945+0.017731 
## [54] train-mlogloss:0.226411+0.005586    test-mlogloss:0.686739+0.016980 
## [55] train-mlogloss:0.223392+0.006051    test-mlogloss:0.689737+0.016116 
## [56] train-mlogloss:0.219692+0.005421    test-mlogloss:0.690872+0.015513 
## [57] train-mlogloss:0.216420+0.005444    test-mlogloss:0.692533+0.014158 
## [58] train-mlogloss:0.213111+0.004467    test-mlogloss:0.694673+0.016111 
## [59] train-mlogloss:0.209971+0.005083    test-mlogloss:0.695341+0.017122 
## [60] train-mlogloss:0.207278+0.004751    test-mlogloss:0.698594+0.017411 
## [61] train-mlogloss:0.204484+0.004548    test-mlogloss:0.700019+0.016918 
## [62] train-mlogloss:0.201577+0.004762    test-mlogloss:0.701530+0.016430 
## [63] train-mlogloss:0.199021+0.004891    test-mlogloss:0.703338+0.017323 
## [64] train-mlogloss:0.196303+0.004606    test-mlogloss:0.705964+0.017913 
## [65] train-mlogloss:0.193573+0.004398    test-mlogloss:0.707863+0.017094 
## [66] train-mlogloss:0.191081+0.004609    test-mlogloss:0.709508+0.017371 
## [67] train-mlogloss:0.188719+0.004499    test-mlogloss:0.711784+0.018122 
## [68] train-mlogloss:0.186127+0.004889    test-mlogloss:0.716179+0.020603 
## [69] train-mlogloss:0.183367+0.005318    test-mlogloss:0.719272+0.019857 
## [70] train-mlogloss:0.180960+0.005797    test-mlogloss:0.722141+0.017837 
## [71] train-mlogloss:0.178073+0.006109    test-mlogloss:0.722165+0.018884 
## [72] train-mlogloss:0.175647+0.005826    test-mlogloss:0.722920+0.018172 
## [73] train-mlogloss:0.173301+0.004993    test-mlogloss:0.724339+0.017406 
## [74] train-mlogloss:0.170634+0.004733    test-mlogloss:0.727352+0.018351 
## [75] train-mlogloss:0.168145+0.004433    test-mlogloss:0.729744+0.018203 
## [76] train-mlogloss:0.165326+0.004480    test-mlogloss:0.730269+0.018336 
## [77] train-mlogloss:0.163204+0.004742    test-mlogloss:0.732546+0.018482 
## [78] train-mlogloss:0.160861+0.004590    test-mlogloss:0.736328+0.020559 
## [79] train-mlogloss:0.158751+0.004931    test-mlogloss:0.740110+0.021337 
## [80] train-mlogloss:0.156374+0.005421    test-mlogloss:0.742951+0.020344 
## [81] train-mlogloss:0.154255+0.005087    test-mlogloss:0.744693+0.020193 
## [82] train-mlogloss:0.152315+0.005123    test-mlogloss:0.747284+0.018774 
## [83] train-mlogloss:0.150863+0.005102    test-mlogloss:0.748474+0.018398 
## [84] train-mlogloss:0.148706+0.005100    test-mlogloss:0.751170+0.018935 
## [85] train-mlogloss:0.147112+0.004543    test-mlogloss:0.752534+0.018443 
## [86] train-mlogloss:0.145203+0.004422    test-mlogloss:0.755511+0.019353 
## [87] train-mlogloss:0.143199+0.004185    test-mlogloss:0.756423+0.018212 
## [88] train-mlogloss:0.141405+0.004389    test-mlogloss:0.759098+0.018443 
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## [91] train-mlogloss:0.135961+0.004981    test-mlogloss:0.763701+0.016134 
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## [483]    train-mlogloss:0.011394+0.000315    test-mlogloss:1.143154+0.036453 
## [484]    train-mlogloss:0.011366+0.000311    test-mlogloss:1.142898+0.035594 
## [485]    train-mlogloss:0.011335+0.000313    test-mlogloss:1.143270+0.035460 
## [486]    train-mlogloss:0.011303+0.000313    test-mlogloss:1.143832+0.035877 
## [487]    train-mlogloss:0.011272+0.000310    test-mlogloss:1.144627+0.035742 
## [488]    train-mlogloss:0.011244+0.000306    test-mlogloss:1.145296+0.036256 
## [489]    train-mlogloss:0.011215+0.000300    test-mlogloss:1.145486+0.036271 
## [490]    train-mlogloss:0.011190+0.000296    test-mlogloss:1.145713+0.035897 
## [491]    train-mlogloss:0.011163+0.000300    test-mlogloss:1.146171+0.035720 
## [492]    train-mlogloss:0.011129+0.000304    test-mlogloss:1.147100+0.034160 
## [493]    train-mlogloss:0.011103+0.000304    test-mlogloss:1.146989+0.035040 
## [494]    train-mlogloss:0.011073+0.000304    test-mlogloss:1.147136+0.035112 
## [495]    train-mlogloss:0.011045+0.000305    test-mlogloss:1.147805+0.035363 
## [496]    train-mlogloss:0.011010+0.000305    test-mlogloss:1.149269+0.034880 
## [497]    train-mlogloss:0.010986+0.000313    test-mlogloss:1.148975+0.034612 
## [498]    train-mlogloss:0.010959+0.000312    test-mlogloss:1.149754+0.034724 
## [499]    train-mlogloss:0.010935+0.000309    test-mlogloss:1.150759+0.035581 
## [500]    train-mlogloss:0.010909+0.000310    test-mlogloss:1.150606+0.035253 
## [1]  train-mlogloss:0.438419+0.005887    test-mlogloss:0.581210+0.006561 
## [2]  train-mlogloss:0.346150+0.002344    test-mlogloss:0.599476+0.009172 
## [3]  train-mlogloss:0.289097+0.003377    test-mlogloss:0.619995+0.008307 
## [4]  train-mlogloss:0.246934+0.004366    test-mlogloss:0.639431+0.004950 
## [5]  train-mlogloss:0.216709+0.008350    test-mlogloss:0.655254+0.010082 
## [6]  train-mlogloss:0.190483+0.007699    test-mlogloss:0.670124+0.009680 
## [7]  train-mlogloss:0.170641+0.007350    test-mlogloss:0.684871+0.009737 
## [8]  train-mlogloss:0.152129+0.005810    test-mlogloss:0.697309+0.009300 
## [9]  train-mlogloss:0.136241+0.005236    test-mlogloss:0.710213+0.008455 
## [10] train-mlogloss:0.122788+0.003415    test-mlogloss:0.720569+0.013252 
## [11] train-mlogloss:0.111205+0.003347    test-mlogloss:0.729712+0.014471 
## [12] train-mlogloss:0.102463+0.002582    test-mlogloss:0.736693+0.013937 
## [13] train-mlogloss:0.094343+0.002486    test-mlogloss:0.746665+0.012350 
## [14] train-mlogloss:0.087671+0.002642    test-mlogloss:0.754600+0.015767 
## [15] train-mlogloss:0.081666+0.002467    test-mlogloss:0.762602+0.015378 
## [16] train-mlogloss:0.077103+0.002649    test-mlogloss:0.768818+0.015696 
## [17] train-mlogloss:0.072187+0.002329    test-mlogloss:0.776103+0.015458 
## [18] train-mlogloss:0.067838+0.001964    test-mlogloss:0.783854+0.015521 
## [19] train-mlogloss:0.064017+0.001959    test-mlogloss:0.789352+0.016657 
## [20] train-mlogloss:0.060608+0.001742    test-mlogloss:0.794552+0.017417 
## [21] train-mlogloss:0.057752+0.001667    test-mlogloss:0.799699+0.017068 
## [22] train-mlogloss:0.055140+0.001622    test-mlogloss:0.804972+0.016475 
## [23] train-mlogloss:0.052648+0.001516    test-mlogloss:0.812078+0.015644 
## [24] train-mlogloss:0.050489+0.001506    test-mlogloss:0.817116+0.015480 
## [25] train-mlogloss:0.048417+0.001314    test-mlogloss:0.822180+0.017749 
## [26] train-mlogloss:0.046542+0.001171    test-mlogloss:0.826609+0.016271 
## [27] train-mlogloss:0.044742+0.000998    test-mlogloss:0.832745+0.014813 
## [28] train-mlogloss:0.043137+0.001017    test-mlogloss:0.838505+0.015124 
## [29] train-mlogloss:0.041660+0.000916    test-mlogloss:0.844532+0.015715 
## [30] train-mlogloss:0.040330+0.000839    test-mlogloss:0.847764+0.016423 
## [31] train-mlogloss:0.039130+0.000737    test-mlogloss:0.854124+0.017327 
## [32] train-mlogloss:0.037967+0.000648    test-mlogloss:0.857036+0.017749 
## [33] train-mlogloss:0.036832+0.000648    test-mlogloss:0.860174+0.018170 
## [34] train-mlogloss:0.035735+0.000650    test-mlogloss:0.863717+0.018538 
## [35] train-mlogloss:0.034823+0.000625    test-mlogloss:0.870134+0.020247 
## [36] train-mlogloss:0.033935+0.000611    test-mlogloss:0.872538+0.021034 
## [37] train-mlogloss:0.033065+0.000632    test-mlogloss:0.874794+0.019875 
## [38] train-mlogloss:0.032276+0.000594    test-mlogloss:0.875617+0.020455 
## [39] train-mlogloss:0.031516+0.000588    test-mlogloss:0.878847+0.021797 
## [40] train-mlogloss:0.030805+0.000578    test-mlogloss:0.881353+0.020431 
## [41] train-mlogloss:0.030101+0.000545    test-mlogloss:0.885023+0.021218 
## [42] train-mlogloss:0.029437+0.000537    test-mlogloss:0.887937+0.021314 
## [43] train-mlogloss:0.028847+0.000504    test-mlogloss:0.890313+0.020126 
## [44] train-mlogloss:0.028277+0.000492    test-mlogloss:0.891668+0.021628 
## [45] train-mlogloss:0.027702+0.000504    test-mlogloss:0.894841+0.020176 
## [46] train-mlogloss:0.027158+0.000487    test-mlogloss:0.897871+0.020257 
## [47] train-mlogloss:0.026668+0.000458    test-mlogloss:0.901639+0.019211 
## [48] train-mlogloss:0.026137+0.000451    test-mlogloss:0.903346+0.020325 
## [49] train-mlogloss:0.025661+0.000428    test-mlogloss:0.906015+0.020693 
## [50] train-mlogloss:0.025220+0.000408    test-mlogloss:0.909259+0.020976 
## [51] train-mlogloss:0.024778+0.000377    test-mlogloss:0.911398+0.020998 
## [52] train-mlogloss:0.024397+0.000348    test-mlogloss:0.913868+0.019039 
## [53] train-mlogloss:0.024005+0.000365    test-mlogloss:0.915766+0.019156 
## [54] train-mlogloss:0.023621+0.000362    test-mlogloss:0.915576+0.018311 
## [55] train-mlogloss:0.023281+0.000360    test-mlogloss:0.919286+0.017969 
## [56] train-mlogloss:0.022930+0.000356    test-mlogloss:0.922329+0.017076 
## [57] train-mlogloss:0.022620+0.000334    test-mlogloss:0.924815+0.017757 
## [58] train-mlogloss:0.022274+0.000292    test-mlogloss:0.927319+0.018375 
## [59] train-mlogloss:0.021972+0.000290    test-mlogloss:0.928971+0.018836 
## [60] train-mlogloss:0.021660+0.000277    test-mlogloss:0.932330+0.018615 
## [61] train-mlogloss:0.021351+0.000266    test-mlogloss:0.935047+0.019489 
## [62] train-mlogloss:0.021047+0.000261    test-mlogloss:0.936118+0.020033 
## [63] train-mlogloss:0.020786+0.000250    test-mlogloss:0.936319+0.019906 
## [64] train-mlogloss:0.020536+0.000245    test-mlogloss:0.937458+0.019387 
## [65] train-mlogloss:0.020288+0.000239    test-mlogloss:0.938712+0.018375 
## [66] train-mlogloss:0.020067+0.000244    test-mlogloss:0.940339+0.018140 
## [67] train-mlogloss:0.019822+0.000249    test-mlogloss:0.941689+0.018979 
## [68] train-mlogloss:0.019580+0.000233    test-mlogloss:0.943184+0.018053 
## [69] train-mlogloss:0.019350+0.000216    test-mlogloss:0.944027+0.017586 
## [70] train-mlogloss:0.019151+0.000199    test-mlogloss:0.946072+0.019295 
## [71] train-mlogloss:0.018934+0.000187    test-mlogloss:0.947849+0.018925 
## [72] train-mlogloss:0.018712+0.000171    test-mlogloss:0.950109+0.019152 
## [73] train-mlogloss:0.018508+0.000180    test-mlogloss:0.952447+0.018987 
## [74] train-mlogloss:0.018316+0.000184    test-mlogloss:0.955086+0.019083 
## [75] train-mlogloss:0.018129+0.000195    test-mlogloss:0.956040+0.019415 
## [76] train-mlogloss:0.017944+0.000207    test-mlogloss:0.957766+0.020235 
## [77] train-mlogloss:0.017778+0.000212    test-mlogloss:0.958973+0.019630 
## [78] train-mlogloss:0.017590+0.000210    test-mlogloss:0.959739+0.020206 
## [79] train-mlogloss:0.017415+0.000207    test-mlogloss:0.961602+0.019042 
## [80] train-mlogloss:0.017227+0.000203    test-mlogloss:0.963287+0.019673 
## [81] train-mlogloss:0.017071+0.000192    test-mlogloss:0.964390+0.019902 
## [82] train-mlogloss:0.016917+0.000184    test-mlogloss:0.966557+0.020038 
## [83] train-mlogloss:0.016763+0.000187    test-mlogloss:0.967851+0.019863 
## [84] train-mlogloss:0.016613+0.000175    test-mlogloss:0.969135+0.020189 
## [85] train-mlogloss:0.016457+0.000168    test-mlogloss:0.970395+0.020198 
## [86] train-mlogloss:0.016311+0.000169    test-mlogloss:0.970831+0.019221 
## [87] train-mlogloss:0.016165+0.000160    test-mlogloss:0.971947+0.019669 
## [88] train-mlogloss:0.016024+0.000154    test-mlogloss:0.972635+0.020371 
## [89] train-mlogloss:0.015892+0.000145    test-mlogloss:0.973461+0.020564 
## [90] train-mlogloss:0.015765+0.000151    test-mlogloss:0.974380+0.020157 
## [91] train-mlogloss:0.015633+0.000153    test-mlogloss:0.975969+0.020059 
## [92] train-mlogloss:0.015511+0.000147    test-mlogloss:0.977712+0.020183 
## [93] train-mlogloss:0.015394+0.000143    test-mlogloss:0.977713+0.019907 
## [94] train-mlogloss:0.015270+0.000143    test-mlogloss:0.979344+0.020015 
## [95] train-mlogloss:0.015149+0.000146    test-mlogloss:0.979562+0.020303 
## [96] train-mlogloss:0.015032+0.000145    test-mlogloss:0.981744+0.020436 
## [97] train-mlogloss:0.014910+0.000151    test-mlogloss:0.981904+0.020107 
## [98] train-mlogloss:0.014802+0.000148    test-mlogloss:0.984210+0.020602 
## [99] train-mlogloss:0.014695+0.000141    test-mlogloss:0.985654+0.019930 
## [100]    train-mlogloss:0.014591+0.000139    test-mlogloss:0.985622+0.019757 
## [101]    train-mlogloss:0.014480+0.000131    test-mlogloss:0.986484+0.020542 
## [102]    train-mlogloss:0.014375+0.000127    test-mlogloss:0.987392+0.021371 
## [103]    train-mlogloss:0.014273+0.000114    test-mlogloss:0.988999+0.021009 
## [104]    train-mlogloss:0.014174+0.000111    test-mlogloss:0.990000+0.020353 
## [105]    train-mlogloss:0.014078+0.000107    test-mlogloss:0.990691+0.019712 
## [106]    train-mlogloss:0.013990+0.000104    test-mlogloss:0.991744+0.019313 
## [107]    train-mlogloss:0.013901+0.000108    test-mlogloss:0.992416+0.019096 
## [108]    train-mlogloss:0.013810+0.000105    test-mlogloss:0.993823+0.018154 
## [109]    train-mlogloss:0.013723+0.000102    test-mlogloss:0.995065+0.018664 
## [110]    train-mlogloss:0.013640+0.000106    test-mlogloss:0.996378+0.018955 
## [111]    train-mlogloss:0.013551+0.000111    test-mlogloss:0.997530+0.019546 
## [112]    train-mlogloss:0.013454+0.000104    test-mlogloss:0.998582+0.017915 
## [113]    train-mlogloss:0.013362+0.000100    test-mlogloss:0.999041+0.017830 
## [114]    train-mlogloss:0.013275+0.000097    test-mlogloss:1.000164+0.017225 
## [115]    train-mlogloss:0.013190+0.000098    test-mlogloss:1.000347+0.017326 
## [116]    train-mlogloss:0.013100+0.000093    test-mlogloss:1.000678+0.017401 
## [117]    train-mlogloss:0.013022+0.000091    test-mlogloss:1.002542+0.018279 
## [118]    train-mlogloss:0.012944+0.000080    test-mlogloss:1.002807+0.018159 
## [119]    train-mlogloss:0.012863+0.000077    test-mlogloss:1.003117+0.018074 
## [120]    train-mlogloss:0.012786+0.000078    test-mlogloss:1.003660+0.019743 
## [121]    train-mlogloss:0.012713+0.000084    test-mlogloss:1.005952+0.020674 
## [122]    train-mlogloss:0.012639+0.000081    test-mlogloss:1.006669+0.020296 
## [123]    train-mlogloss:0.012565+0.000085    test-mlogloss:1.007991+0.020422 
## [124]    train-mlogloss:0.012496+0.000079    test-mlogloss:1.009195+0.019134 
## [125]    train-mlogloss:0.012429+0.000066    test-mlogloss:1.010046+0.019916 
## [126]    train-mlogloss:0.012363+0.000062    test-mlogloss:1.011043+0.020025 
## [127]    train-mlogloss:0.012294+0.000059    test-mlogloss:1.011452+0.019860 
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## [134]    train-mlogloss:0.011844+0.000078    test-mlogloss:1.015926+0.020962 
## [135]    train-mlogloss:0.011790+0.000077    test-mlogloss:1.017437+0.021481 
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## [396]    train-mlogloss:0.006128+0.000054    test-mlogloss:1.123481+0.028924 
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## [398]    train-mlogloss:0.006113+0.000055    test-mlogloss:1.124097+0.029137 
## [399]    train-mlogloss:0.006105+0.000054    test-mlogloss:1.123453+0.028761 
## [400]    train-mlogloss:0.006094+0.000052    test-mlogloss:1.124353+0.029595 
## [401]    train-mlogloss:0.006088+0.000052    test-mlogloss:1.124212+0.029509 
## [402]    train-mlogloss:0.006078+0.000050    test-mlogloss:1.124815+0.030151 
## [403]    train-mlogloss:0.006072+0.000052    test-mlogloss:1.124357+0.030191 
## [404]    train-mlogloss:0.006063+0.000052    test-mlogloss:1.124532+0.030358 
## [405]    train-mlogloss:0.006054+0.000054    test-mlogloss:1.124809+0.029099 
## [406]    train-mlogloss:0.006046+0.000053    test-mlogloss:1.125205+0.029336 
## [407]    train-mlogloss:0.006039+0.000053    test-mlogloss:1.124761+0.028894 
## [408]    train-mlogloss:0.006031+0.000053    test-mlogloss:1.125148+0.029000 
## [409]    train-mlogloss:0.006025+0.000052    test-mlogloss:1.125690+0.029210 
## [410]    train-mlogloss:0.006016+0.000052    test-mlogloss:1.126085+0.029225 
## [411]    train-mlogloss:0.006010+0.000051    test-mlogloss:1.126523+0.029524 
## [412]    train-mlogloss:0.006002+0.000051    test-mlogloss:1.126481+0.029443 
## [413]    train-mlogloss:0.005994+0.000051    test-mlogloss:1.126686+0.028903 
## [414]    train-mlogloss:0.005985+0.000052    test-mlogloss:1.127295+0.028912 
## [415]    train-mlogloss:0.005979+0.000052    test-mlogloss:1.127345+0.029456 
## [416]    train-mlogloss:0.005971+0.000051    test-mlogloss:1.127740+0.029235 
## [417]    train-mlogloss:0.005963+0.000051    test-mlogloss:1.128141+0.028990 
## [418]    train-mlogloss:0.005957+0.000052    test-mlogloss:1.127384+0.029648 
## [419]    train-mlogloss:0.005949+0.000051    test-mlogloss:1.127881+0.028810 
## [420]    train-mlogloss:0.005940+0.000051    test-mlogloss:1.128865+0.028897 
## [421]    train-mlogloss:0.005933+0.000050    test-mlogloss:1.128955+0.028667 
## [422]    train-mlogloss:0.005926+0.000051    test-mlogloss:1.129223+0.028169 
## [423]    train-mlogloss:0.005919+0.000051    test-mlogloss:1.129797+0.027930 
## [424]    train-mlogloss:0.005912+0.000050    test-mlogloss:1.129730+0.028363 
## [425]    train-mlogloss:0.005904+0.000051    test-mlogloss:1.130345+0.029380 
## [426]    train-mlogloss:0.005896+0.000050    test-mlogloss:1.130569+0.029501 
## [427]    train-mlogloss:0.005888+0.000049    test-mlogloss:1.131018+0.029598 
## [428]    train-mlogloss:0.005881+0.000048    test-mlogloss:1.131086+0.028889 
## [429]    train-mlogloss:0.005873+0.000046    test-mlogloss:1.131406+0.028960 
## [430]    train-mlogloss:0.005866+0.000046    test-mlogloss:1.131452+0.028927 
## [431]    train-mlogloss:0.005859+0.000045    test-mlogloss:1.132009+0.028166 
## [432]    train-mlogloss:0.005851+0.000046    test-mlogloss:1.132208+0.028957 
## [433]    train-mlogloss:0.005843+0.000044    test-mlogloss:1.132089+0.028176 
## [434]    train-mlogloss:0.005835+0.000045    test-mlogloss:1.131654+0.028536 
## [435]    train-mlogloss:0.005830+0.000046    test-mlogloss:1.132280+0.028388 
## [436]    train-mlogloss:0.005821+0.000047    test-mlogloss:1.133018+0.029055 
## [437]    train-mlogloss:0.005812+0.000046    test-mlogloss:1.132808+0.029391 
## [438]    train-mlogloss:0.005805+0.000046    test-mlogloss:1.133341+0.030024 
## [439]    train-mlogloss:0.005798+0.000045    test-mlogloss:1.133507+0.030367 
## [440]    train-mlogloss:0.005791+0.000046    test-mlogloss:1.132991+0.030530 
## [441]    train-mlogloss:0.005784+0.000046    test-mlogloss:1.133246+0.029996 
## [442]    train-mlogloss:0.005777+0.000046    test-mlogloss:1.133608+0.030859 
## [443]    train-mlogloss:0.005769+0.000047    test-mlogloss:1.134729+0.030509 
## [444]    train-mlogloss:0.005762+0.000048    test-mlogloss:1.134604+0.030187 
## [445]    train-mlogloss:0.005755+0.000049    test-mlogloss:1.135017+0.029450 
## [446]    train-mlogloss:0.005748+0.000048    test-mlogloss:1.134744+0.029803 
## [447]    train-mlogloss:0.005743+0.000049    test-mlogloss:1.135092+0.030103 
## [448]    train-mlogloss:0.005736+0.000049    test-mlogloss:1.135360+0.030305 
## [449]    train-mlogloss:0.005731+0.000050    test-mlogloss:1.135494+0.030360 
## [450]    train-mlogloss:0.005725+0.000049    test-mlogloss:1.135742+0.030018 
## [451]    train-mlogloss:0.005719+0.000049    test-mlogloss:1.134993+0.030335 
## [452]    train-mlogloss:0.005712+0.000048    test-mlogloss:1.135342+0.030112 
## [453]    train-mlogloss:0.005703+0.000049    test-mlogloss:1.135641+0.030021 
## [454]    train-mlogloss:0.005695+0.000051    test-mlogloss:1.136189+0.029950 
## [455]    train-mlogloss:0.005688+0.000051    test-mlogloss:1.136427+0.028935 
## [456]    train-mlogloss:0.005682+0.000050    test-mlogloss:1.137223+0.029296 
## [457]    train-mlogloss:0.005675+0.000049    test-mlogloss:1.137507+0.029711 
## [458]    train-mlogloss:0.005667+0.000049    test-mlogloss:1.137155+0.029479 
## [459]    train-mlogloss:0.005661+0.000048    test-mlogloss:1.137844+0.030270 
## [460]    train-mlogloss:0.005653+0.000047    test-mlogloss:1.137847+0.029648 
## [461]    train-mlogloss:0.005646+0.000048    test-mlogloss:1.138340+0.030189 
## [462]    train-mlogloss:0.005640+0.000047    test-mlogloss:1.138562+0.029530 
## [463]    train-mlogloss:0.005635+0.000048    test-mlogloss:1.139299+0.029267 
## [464]    train-mlogloss:0.005628+0.000048    test-mlogloss:1.138918+0.029511 
## [465]    train-mlogloss:0.005621+0.000047    test-mlogloss:1.139365+0.029517 
## [466]    train-mlogloss:0.005614+0.000046    test-mlogloss:1.139586+0.029940 
## [467]    train-mlogloss:0.005607+0.000046    test-mlogloss:1.139791+0.030193 
## [468]    train-mlogloss:0.005602+0.000046    test-mlogloss:1.139786+0.029619 
## [469]    train-mlogloss:0.005598+0.000045    test-mlogloss:1.140388+0.029257 
## [470]    train-mlogloss:0.005592+0.000045    test-mlogloss:1.140574+0.029295 
## [471]    train-mlogloss:0.005585+0.000046    test-mlogloss:1.141714+0.029386 
## [472]    train-mlogloss:0.005578+0.000046    test-mlogloss:1.141947+0.029629 
## [473]    train-mlogloss:0.005571+0.000045    test-mlogloss:1.141600+0.029077 
## [474]    train-mlogloss:0.005565+0.000043    test-mlogloss:1.141768+0.029618 
## [475]    train-mlogloss:0.005560+0.000043    test-mlogloss:1.141850+0.029473 
## [476]    train-mlogloss:0.005552+0.000043    test-mlogloss:1.142454+0.030745 
## [477]    train-mlogloss:0.005546+0.000043    test-mlogloss:1.142212+0.030128 
## [478]    train-mlogloss:0.005538+0.000044    test-mlogloss:1.143044+0.030210 
## [479]    train-mlogloss:0.005533+0.000044    test-mlogloss:1.143047+0.030149 
## [480]    train-mlogloss:0.005526+0.000044    test-mlogloss:1.143357+0.030043 
## [481]    train-mlogloss:0.005520+0.000044    test-mlogloss:1.144274+0.029229 
## [482]    train-mlogloss:0.005515+0.000045    test-mlogloss:1.143466+0.029324 
## [483]    train-mlogloss:0.005510+0.000044    test-mlogloss:1.144344+0.029607 
## [484]    train-mlogloss:0.005504+0.000043    test-mlogloss:1.144120+0.029891 
## [485]    train-mlogloss:0.005498+0.000045    test-mlogloss:1.144534+0.029918 
## [486]    train-mlogloss:0.005494+0.000046    test-mlogloss:1.144503+0.029317 
## [487]    train-mlogloss:0.005487+0.000045    test-mlogloss:1.144738+0.029146 
## [488]    train-mlogloss:0.005482+0.000046    test-mlogloss:1.145260+0.029298 
## [489]    train-mlogloss:0.005476+0.000047    test-mlogloss:1.145711+0.029989 
## [490]    train-mlogloss:0.005470+0.000045    test-mlogloss:1.145400+0.029756 
## [491]    train-mlogloss:0.005465+0.000045    test-mlogloss:1.145448+0.029664 
## [492]    train-mlogloss:0.005458+0.000045    test-mlogloss:1.146027+0.029847 
## [493]    train-mlogloss:0.005453+0.000046    test-mlogloss:1.146373+0.030249 
## [494]    train-mlogloss:0.005447+0.000045    test-mlogloss:1.145930+0.030721 
## [495]    train-mlogloss:0.005440+0.000044    test-mlogloss:1.145741+0.030783 
## [496]    train-mlogloss:0.005434+0.000044    test-mlogloss:1.146181+0.031048 
## [497]    train-mlogloss:0.005429+0.000043    test-mlogloss:1.145946+0.031761 
## [498]    train-mlogloss:0.005424+0.000044    test-mlogloss:1.146548+0.030696 
## [499]    train-mlogloss:0.005417+0.000043    test-mlogloss:1.146196+0.030919 
## [500]    train-mlogloss:0.005411+0.000044    test-mlogloss:1.146804+0.031206 
## [1]  train-mlogloss:0.615606+0.001830    test-mlogloss:0.622237+0.002282 
## [2]  train-mlogloss:0.571162+0.002080    test-mlogloss:0.584790+0.004854 
## [3]  train-mlogloss:0.543992+0.002782    test-mlogloss:0.563244+0.006500 
## [4]  train-mlogloss:0.526100+0.003054    test-mlogloss:0.550949+0.007429 
## [5]  train-mlogloss:0.513704+0.003107    test-mlogloss:0.543620+0.008421 
## [6]  train-mlogloss:0.504841+0.003585    test-mlogloss:0.540092+0.008955 
## [7]  train-mlogloss:0.497856+0.004100    test-mlogloss:0.538281+0.010190 
## [8]  train-mlogloss:0.492162+0.003739    test-mlogloss:0.537740+0.010892 
## [9]  train-mlogloss:0.487376+0.004248    test-mlogloss:0.536820+0.011628 
## [10] train-mlogloss:0.483553+0.004289    test-mlogloss:0.536560+0.011825 
## [11] train-mlogloss:0.480765+0.003895    test-mlogloss:0.536884+0.011666 
## [12] train-mlogloss:0.478394+0.003909    test-mlogloss:0.536506+0.011890 
## [13] train-mlogloss:0.476407+0.003524    test-mlogloss:0.536134+0.012200 
## [14] train-mlogloss:0.474280+0.003697    test-mlogloss:0.536511+0.012288 
## [15] train-mlogloss:0.472807+0.003420    test-mlogloss:0.536936+0.012461 
## [16] train-mlogloss:0.471030+0.004009    test-mlogloss:0.537054+0.012584 
## [17] train-mlogloss:0.468525+0.005390    test-mlogloss:0.536880+0.012686 
## [18] train-mlogloss:0.466589+0.004664    test-mlogloss:0.537023+0.012773 
## [19] train-mlogloss:0.465022+0.004746    test-mlogloss:0.537253+0.012754 
## [20] train-mlogloss:0.463029+0.004379    test-mlogloss:0.537565+0.012953 
## [21] train-mlogloss:0.460741+0.004137    test-mlogloss:0.537995+0.013083 
## [22] train-mlogloss:0.459021+0.004800    test-mlogloss:0.538252+0.013487 
## [23] train-mlogloss:0.457952+0.004613    test-mlogloss:0.538427+0.013614 
## [24] train-mlogloss:0.455971+0.004946    test-mlogloss:0.538775+0.013762 
## [25] train-mlogloss:0.454123+0.004368    test-mlogloss:0.539723+0.014022 
## [26] train-mlogloss:0.452674+0.003821    test-mlogloss:0.540085+0.013841 
## [27] train-mlogloss:0.450376+0.003718    test-mlogloss:0.540376+0.014074 
## [28] train-mlogloss:0.448124+0.004542    test-mlogloss:0.541306+0.014376 
## [29] train-mlogloss:0.446171+0.004765    test-mlogloss:0.541636+0.014380 
## [30] train-mlogloss:0.444134+0.005077    test-mlogloss:0.542015+0.014713 
## [31] train-mlogloss:0.440958+0.005438    test-mlogloss:0.541900+0.014981 
## [32] train-mlogloss:0.439593+0.005578    test-mlogloss:0.542214+0.015007 
## [33] train-mlogloss:0.437449+0.005711    test-mlogloss:0.542830+0.015648 
## [34] train-mlogloss:0.435176+0.004855    test-mlogloss:0.543196+0.015663 
## [35] train-mlogloss:0.432743+0.005018    test-mlogloss:0.543288+0.016333 
## [36] train-mlogloss:0.431021+0.005195    test-mlogloss:0.543749+0.016569 
## [37] train-mlogloss:0.429386+0.004703    test-mlogloss:0.544133+0.016672 
## [38] train-mlogloss:0.427534+0.004677    test-mlogloss:0.544539+0.016623 
## [39] train-mlogloss:0.425941+0.004618    test-mlogloss:0.545018+0.016659 
## [40] train-mlogloss:0.423974+0.005112    test-mlogloss:0.545456+0.016893 
## [41] train-mlogloss:0.421793+0.005232    test-mlogloss:0.545994+0.016803 
## [42] train-mlogloss:0.419583+0.004982    test-mlogloss:0.546150+0.016555 
## [43] train-mlogloss:0.417102+0.005203    test-mlogloss:0.546971+0.016474 
## [44] train-mlogloss:0.415367+0.005286    test-mlogloss:0.547609+0.017410 
## [45] train-mlogloss:0.412887+0.005444    test-mlogloss:0.548139+0.017790 
## [46] train-mlogloss:0.411679+0.004777    test-mlogloss:0.548016+0.017876 
## [47] train-mlogloss:0.410536+0.004979    test-mlogloss:0.548261+0.017949 
## [48] train-mlogloss:0.408660+0.005489    test-mlogloss:0.548822+0.017914 
## [49] train-mlogloss:0.407044+0.005318    test-mlogloss:0.548989+0.017933 
## [50] train-mlogloss:0.404791+0.005130    test-mlogloss:0.549831+0.017673 
## [51] train-mlogloss:0.403388+0.005812    test-mlogloss:0.550246+0.018079 
## [52] train-mlogloss:0.401977+0.005931    test-mlogloss:0.550661+0.018145 
## [53] train-mlogloss:0.400475+0.005606    test-mlogloss:0.551420+0.018415 
## [54] train-mlogloss:0.398483+0.005777    test-mlogloss:0.552112+0.018751 
## [55] train-mlogloss:0.396550+0.005928    test-mlogloss:0.552298+0.018658 
## [56] train-mlogloss:0.393860+0.006413    test-mlogloss:0.552546+0.018624 
## [57] train-mlogloss:0.392583+0.006638    test-mlogloss:0.552768+0.018918 
## [58] train-mlogloss:0.390520+0.006525    test-mlogloss:0.553368+0.018913 
## [59] train-mlogloss:0.389135+0.006946    test-mlogloss:0.554116+0.019307 
## [60] train-mlogloss:0.387684+0.006957    test-mlogloss:0.554092+0.019240 
## [61] train-mlogloss:0.385877+0.007436    test-mlogloss:0.554586+0.019426 
## [62] train-mlogloss:0.383971+0.007601    test-mlogloss:0.555320+0.019511 
## [63] train-mlogloss:0.381395+0.007241    test-mlogloss:0.555930+0.019758 
## [64] train-mlogloss:0.379513+0.006704    test-mlogloss:0.555758+0.019827 
## [65] train-mlogloss:0.377994+0.006522    test-mlogloss:0.555981+0.019719 
## [66] train-mlogloss:0.376746+0.006443    test-mlogloss:0.556210+0.019920 
## [67] train-mlogloss:0.375160+0.006567    test-mlogloss:0.556579+0.020525 
## [68] train-mlogloss:0.373564+0.007198    test-mlogloss:0.556949+0.020430 
## [69] train-mlogloss:0.371844+0.007526    test-mlogloss:0.557669+0.020895 
## [70] train-mlogloss:0.370295+0.006887    test-mlogloss:0.557873+0.021249 
## [71] train-mlogloss:0.368332+0.006513    test-mlogloss:0.558221+0.021025 
## [72] train-mlogloss:0.367492+0.006685    test-mlogloss:0.558311+0.020932 
## [73] train-mlogloss:0.365444+0.007497    test-mlogloss:0.558634+0.021263 
## [74] train-mlogloss:0.363479+0.007225    test-mlogloss:0.559126+0.021727 
## [75] train-mlogloss:0.362284+0.007092    test-mlogloss:0.559405+0.021830 
## [76] train-mlogloss:0.360103+0.007239    test-mlogloss:0.560124+0.021726 
## [77] train-mlogloss:0.358732+0.007340    test-mlogloss:0.560436+0.021863 
## [78] train-mlogloss:0.357747+0.007248    test-mlogloss:0.560800+0.021619 
## [79] train-mlogloss:0.356371+0.007188    test-mlogloss:0.561098+0.021608 
## [80] train-mlogloss:0.355378+0.006707    test-mlogloss:0.561776+0.021767 
## [81] train-mlogloss:0.353590+0.007060    test-mlogloss:0.562213+0.022092 
## [82] train-mlogloss:0.352484+0.007530    test-mlogloss:0.562361+0.022049 
## [83] train-mlogloss:0.351286+0.007142    test-mlogloss:0.562705+0.022245 
## [84] train-mlogloss:0.349999+0.007606    test-mlogloss:0.563007+0.022303 
## [85] train-mlogloss:0.348696+0.007226    test-mlogloss:0.563294+0.022698 
## [86] train-mlogloss:0.347922+0.006973    test-mlogloss:0.563734+0.022989 
## [87] train-mlogloss:0.346078+0.006345    test-mlogloss:0.564443+0.023128 
## [88] train-mlogloss:0.344966+0.006024    test-mlogloss:0.564694+0.023082 
## [89] train-mlogloss:0.343585+0.006021    test-mlogloss:0.564777+0.022943 
## [90] train-mlogloss:0.342338+0.006031    test-mlogloss:0.565017+0.023204 
## [91] train-mlogloss:0.340976+0.005902    test-mlogloss:0.565553+0.023253 
## [92] train-mlogloss:0.339440+0.005389    test-mlogloss:0.566038+0.023027 
## [93] train-mlogloss:0.337818+0.004914    test-mlogloss:0.566482+0.022913 
## [94] train-mlogloss:0.336373+0.005197    test-mlogloss:0.566600+0.023277 
## [95] train-mlogloss:0.334446+0.004895    test-mlogloss:0.567008+0.023509 
## [96] train-mlogloss:0.332339+0.005196    test-mlogloss:0.567672+0.023449 
## [97] train-mlogloss:0.331284+0.004971    test-mlogloss:0.568003+0.023282 
## [98] train-mlogloss:0.329729+0.005016    test-mlogloss:0.568825+0.023390 
## [99] train-mlogloss:0.328826+0.004804    test-mlogloss:0.569154+0.023400 
## [100]    train-mlogloss:0.327040+0.004299    test-mlogloss:0.570035+0.023265 
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## [10] train-mlogloss:0.233797+0.003268    test-mlogloss:0.571333+0.008159 
## [11] train-mlogloss:0.218999+0.003031    test-mlogloss:0.574566+0.008787 
## [12] train-mlogloss:0.206738+0.002630    test-mlogloss:0.577055+0.008176 
## [13] train-mlogloss:0.196205+0.002998    test-mlogloss:0.579807+0.007916 
## [14] train-mlogloss:0.187444+0.004010    test-mlogloss:0.581589+0.007545 
## [15] train-mlogloss:0.180793+0.004554    test-mlogloss:0.584378+0.007480 
## [16] train-mlogloss:0.174527+0.003468    test-mlogloss:0.587616+0.008763 
## [17] train-mlogloss:0.168539+0.003707    test-mlogloss:0.590322+0.008573 
## [18] train-mlogloss:0.163660+0.002436    test-mlogloss:0.593766+0.008602 
## [19] train-mlogloss:0.157587+0.002588    test-mlogloss:0.596416+0.008283 
## [20] train-mlogloss:0.153562+0.002616    test-mlogloss:0.598435+0.008467 
## [21] train-mlogloss:0.150383+0.002458    test-mlogloss:0.600169+0.008967 
## [22] train-mlogloss:0.146464+0.003165    test-mlogloss:0.602783+0.007941 
## [23] train-mlogloss:0.143753+0.002933    test-mlogloss:0.604376+0.007768 
## [24] train-mlogloss:0.140544+0.003636    test-mlogloss:0.606357+0.007189 
## [25] train-mlogloss:0.136809+0.003176    test-mlogloss:0.608933+0.007668 
## [26] train-mlogloss:0.133750+0.002901    test-mlogloss:0.611027+0.009118 
## [27] train-mlogloss:0.129973+0.003248    test-mlogloss:0.613512+0.008332 
## [28] train-mlogloss:0.126932+0.002418    test-mlogloss:0.615636+0.008705 
## [29] train-mlogloss:0.122916+0.001836    test-mlogloss:0.617723+0.008722 
## [30] train-mlogloss:0.121130+0.002571    test-mlogloss:0.618670+0.009310 
## [31] train-mlogloss:0.117585+0.002398    test-mlogloss:0.621665+0.010210 
## [32] train-mlogloss:0.114804+0.001854    test-mlogloss:0.624296+0.011113 
## [33] train-mlogloss:0.112000+0.001321    test-mlogloss:0.626420+0.011464 
## [34] train-mlogloss:0.109273+0.001907    test-mlogloss:0.628777+0.012251 
## [35] train-mlogloss:0.107199+0.002672    test-mlogloss:0.630639+0.012917 
## [36] train-mlogloss:0.104588+0.003183    test-mlogloss:0.632660+0.013500 
## [37] train-mlogloss:0.102895+0.002591    test-mlogloss:0.634270+0.013504 
## [38] train-mlogloss:0.100357+0.001938    test-mlogloss:0.636135+0.013511 
## [39] train-mlogloss:0.098142+0.001969    test-mlogloss:0.637774+0.013211 
## [40] train-mlogloss:0.096127+0.001817    test-mlogloss:0.639418+0.013170 
## [41] train-mlogloss:0.094449+0.001340    test-mlogloss:0.640827+0.013425 
## [42] train-mlogloss:0.092704+0.001491    test-mlogloss:0.642304+0.013072 
## [43] train-mlogloss:0.091014+0.001130    test-mlogloss:0.644296+0.013682 
## [44] train-mlogloss:0.089875+0.001636    test-mlogloss:0.645745+0.014065 
## [45] train-mlogloss:0.088650+0.001611    test-mlogloss:0.646859+0.013824 
## [46] train-mlogloss:0.087562+0.002097    test-mlogloss:0.647947+0.014398 
## [47] train-mlogloss:0.086019+0.002407    test-mlogloss:0.649797+0.014901 
## [48] train-mlogloss:0.084284+0.002435    test-mlogloss:0.651151+0.014846 
## [49] train-mlogloss:0.082385+0.002312    test-mlogloss:0.653335+0.014798 
## [50] train-mlogloss:0.080668+0.002318    test-mlogloss:0.655228+0.015220 
## [51] train-mlogloss:0.079321+0.001936    test-mlogloss:0.656915+0.015333 
## [52] train-mlogloss:0.078059+0.002386    test-mlogloss:0.658348+0.015738 
## [53] train-mlogloss:0.076810+0.002480    test-mlogloss:0.659880+0.016037 
## [54] train-mlogloss:0.075410+0.002190    test-mlogloss:0.661592+0.015540 
## [55] train-mlogloss:0.074749+0.002277    test-mlogloss:0.662938+0.015663 
## [56] train-mlogloss:0.073631+0.002100    test-mlogloss:0.665104+0.016793 
## [57] train-mlogloss:0.072513+0.001622    test-mlogloss:0.666516+0.017067 
## [58] train-mlogloss:0.071455+0.001827    test-mlogloss:0.668402+0.017131 
## [59] train-mlogloss:0.070114+0.002061    test-mlogloss:0.670403+0.018014 
## [60] train-mlogloss:0.068913+0.001913    test-mlogloss:0.671653+0.017673 
## [61] train-mlogloss:0.067661+0.001641    test-mlogloss:0.673291+0.017064 
## [62] train-mlogloss:0.066545+0.001438    test-mlogloss:0.674955+0.016693 
## [63] train-mlogloss:0.065637+0.001483    test-mlogloss:0.676368+0.016546 
## [64] train-mlogloss:0.064730+0.001308    test-mlogloss:0.677605+0.016612 
## [65] train-mlogloss:0.063613+0.001485    test-mlogloss:0.679532+0.016676 
## [66] train-mlogloss:0.062774+0.001658    test-mlogloss:0.681328+0.016386 
## [67] train-mlogloss:0.061971+0.001635    test-mlogloss:0.682505+0.016684 
## [68] train-mlogloss:0.061152+0.001642    test-mlogloss:0.683628+0.016528 
## [69] train-mlogloss:0.060318+0.001578    test-mlogloss:0.685338+0.016236 
## [70] train-mlogloss:0.059380+0.001578    test-mlogloss:0.686502+0.016509 
## [71] train-mlogloss:0.058487+0.001564    test-mlogloss:0.688176+0.017066 
## [72] train-mlogloss:0.057564+0.001673    test-mlogloss:0.689583+0.017411 
## [73] train-mlogloss:0.056968+0.001766    test-mlogloss:0.690593+0.017062 
## [74] train-mlogloss:0.056317+0.001847    test-mlogloss:0.692004+0.016802 
## [75] train-mlogloss:0.055435+0.001783    test-mlogloss:0.693069+0.016511 
## [76] train-mlogloss:0.054729+0.001648    test-mlogloss:0.694323+0.016516 
## [77] train-mlogloss:0.054034+0.001598    test-mlogloss:0.696323+0.015592 
## [78] train-mlogloss:0.053321+0.001634    test-mlogloss:0.698001+0.015219 
## [79] train-mlogloss:0.052808+0.001574    test-mlogloss:0.698863+0.015226 
## [80] train-mlogloss:0.052187+0.001592    test-mlogloss:0.700084+0.015192 
## [81] train-mlogloss:0.051807+0.001592    test-mlogloss:0.700921+0.015372 
## [82] train-mlogloss:0.051340+0.001749    test-mlogloss:0.702222+0.015493 
## [83] train-mlogloss:0.050613+0.001728    test-mlogloss:0.703976+0.015389 
## [84] train-mlogloss:0.050166+0.001785    test-mlogloss:0.705355+0.015759 
## [85] train-mlogloss:0.049534+0.001762    test-mlogloss:0.706598+0.015893 
## [86] train-mlogloss:0.048829+0.001744    test-mlogloss:0.708141+0.015954 
## [87] train-mlogloss:0.048204+0.001723    test-mlogloss:0.709183+0.016192 
## [88] train-mlogloss:0.047658+0.001497    test-mlogloss:0.710419+0.015887 
## [89] train-mlogloss:0.047172+0.001575    test-mlogloss:0.711345+0.015826 
## [90] train-mlogloss:0.046653+0.001484    test-mlogloss:0.712441+0.015888 
## [91] train-mlogloss:0.046170+0.001442    test-mlogloss:0.713390+0.015950 
## [92] train-mlogloss:0.045572+0.001467    test-mlogloss:0.714353+0.016301 
## [93] train-mlogloss:0.045099+0.001552    test-mlogloss:0.715506+0.017145 
## [94] train-mlogloss:0.044615+0.001577    test-mlogloss:0.716557+0.017430 
## [95] train-mlogloss:0.044113+0.001596    test-mlogloss:0.717878+0.017402 
## [96] train-mlogloss:0.043616+0.001518    test-mlogloss:0.719177+0.017464 
## [97] train-mlogloss:0.043131+0.001560    test-mlogloss:0.720192+0.017230 
## [98] train-mlogloss:0.042597+0.001538    test-mlogloss:0.721248+0.017286 
## [99] train-mlogloss:0.042202+0.001565    test-mlogloss:0.722362+0.017192 
## [100]    train-mlogloss:0.041727+0.001422    test-mlogloss:0.723702+0.017096 
## [101]    train-mlogloss:0.041278+0.001342    test-mlogloss:0.725244+0.017120 
## [102]    train-mlogloss:0.040862+0.001264    test-mlogloss:0.726182+0.017384 
## [103]    train-mlogloss:0.040444+0.001221    test-mlogloss:0.727456+0.017239 
## [104]    train-mlogloss:0.040054+0.001272    test-mlogloss:0.728671+0.017257 
## [105]    train-mlogloss:0.039705+0.001342    test-mlogloss:0.729791+0.017708 
## [106]    train-mlogloss:0.039308+0.001364    test-mlogloss:0.730860+0.017321 
## [107]    train-mlogloss:0.038933+0.001329    test-mlogloss:0.731977+0.016794 
## [108]    train-mlogloss:0.038592+0.001272    test-mlogloss:0.733067+0.016997 
## [109]    train-mlogloss:0.038204+0.001221    test-mlogloss:0.734030+0.016601 
## [110]    train-mlogloss:0.037849+0.001188    test-mlogloss:0.734988+0.016734 
## [111]    train-mlogloss:0.037601+0.001226    test-mlogloss:0.736012+0.017107 
## [112]    train-mlogloss:0.037234+0.001209    test-mlogloss:0.736781+0.017338 
## [113]    train-mlogloss:0.036909+0.001169    test-mlogloss:0.737991+0.017302 
## [114]    train-mlogloss:0.036579+0.001121    test-mlogloss:0.739300+0.017057 
## [115]    train-mlogloss:0.036229+0.001113    test-mlogloss:0.740610+0.017427 
## [116]    train-mlogloss:0.035885+0.001091    test-mlogloss:0.741844+0.017516 
## [117]    train-mlogloss:0.035600+0.001067    test-mlogloss:0.742646+0.017927 
## [118]    train-mlogloss:0.035304+0.001063    test-mlogloss:0.743382+0.017872 
## [119]    train-mlogloss:0.034986+0.000988    test-mlogloss:0.744136+0.018461 
## [120]    train-mlogloss:0.034715+0.001039    test-mlogloss:0.744932+0.018348 
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## [122]    train-mlogloss:0.034207+0.001149    test-mlogloss:0.746705+0.018354 
## [123]    train-mlogloss:0.033954+0.001109    test-mlogloss:0.747238+0.018227 
## [124]    train-mlogloss:0.033659+0.001131    test-mlogloss:0.748421+0.018241 
## [125]    train-mlogloss:0.033353+0.001119    test-mlogloss:0.749274+0.018207 
## [126]    train-mlogloss:0.033061+0.001116    test-mlogloss:0.750107+0.017873 
## [127]    train-mlogloss:0.032771+0.001092    test-mlogloss:0.750913+0.018155 
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## [130]    train-mlogloss:0.031936+0.001073    test-mlogloss:0.754224+0.018436 
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## [421]    train-mlogloss:0.011154+0.000136    test-mlogloss:0.906467+0.024744 
## [422]    train-mlogloss:0.011137+0.000134    test-mlogloss:0.906788+0.024856 
## [423]    train-mlogloss:0.011118+0.000135    test-mlogloss:0.907257+0.024863 
## [424]    train-mlogloss:0.011099+0.000133    test-mlogloss:0.907534+0.024893 
## [425]    train-mlogloss:0.011080+0.000134    test-mlogloss:0.907908+0.024963 
## [426]    train-mlogloss:0.011060+0.000135    test-mlogloss:0.908145+0.025068 
## [427]    train-mlogloss:0.011042+0.000134    test-mlogloss:0.908494+0.025120 
## [428]    train-mlogloss:0.011023+0.000133    test-mlogloss:0.908901+0.025220 
## [429]    train-mlogloss:0.011006+0.000133    test-mlogloss:0.909255+0.025210 
## [430]    train-mlogloss:0.010987+0.000134    test-mlogloss:0.909512+0.025279 
## [431]    train-mlogloss:0.010968+0.000134    test-mlogloss:0.909978+0.025269 
## [432]    train-mlogloss:0.010950+0.000133    test-mlogloss:0.910329+0.025284 
## [433]    train-mlogloss:0.010934+0.000132    test-mlogloss:0.910530+0.025282 
## [434]    train-mlogloss:0.010914+0.000131    test-mlogloss:0.911042+0.025214 
## [435]    train-mlogloss:0.010895+0.000129    test-mlogloss:0.911283+0.025265 
## [436]    train-mlogloss:0.010878+0.000129    test-mlogloss:0.911568+0.025146 
## [437]    train-mlogloss:0.010859+0.000130    test-mlogloss:0.911713+0.025165 
## [438]    train-mlogloss:0.010841+0.000129    test-mlogloss:0.912082+0.025075 
## [439]    train-mlogloss:0.010823+0.000130    test-mlogloss:0.912389+0.024921 
## [440]    train-mlogloss:0.010806+0.000131    test-mlogloss:0.912691+0.025111 
## [441]    train-mlogloss:0.010788+0.000131    test-mlogloss:0.912963+0.025132 
## [442]    train-mlogloss:0.010769+0.000132    test-mlogloss:0.913246+0.025353 
## [443]    train-mlogloss:0.010750+0.000131    test-mlogloss:0.913644+0.025254 
## [444]    train-mlogloss:0.010732+0.000130    test-mlogloss:0.913953+0.025317 
## [445]    train-mlogloss:0.010714+0.000129    test-mlogloss:0.914266+0.025348 
## [446]    train-mlogloss:0.010698+0.000127    test-mlogloss:0.914575+0.025403 
## [447]    train-mlogloss:0.010681+0.000125    test-mlogloss:0.914848+0.025265 
## [448]    train-mlogloss:0.010663+0.000125    test-mlogloss:0.915119+0.025300 
## [449]    train-mlogloss:0.010646+0.000123    test-mlogloss:0.915270+0.025354 
## [450]    train-mlogloss:0.010630+0.000120    test-mlogloss:0.915500+0.025269 
## [451]    train-mlogloss:0.010610+0.000119    test-mlogloss:0.915655+0.025330 
## [452]    train-mlogloss:0.010592+0.000118    test-mlogloss:0.915937+0.025273 
## [453]    train-mlogloss:0.010575+0.000117    test-mlogloss:0.916184+0.025034 
## [454]    train-mlogloss:0.010560+0.000116    test-mlogloss:0.916340+0.024977 
## [455]    train-mlogloss:0.010544+0.000117    test-mlogloss:0.916583+0.025053 
## [456]    train-mlogloss:0.010529+0.000117    test-mlogloss:0.916713+0.025219 
## [457]    train-mlogloss:0.010513+0.000115    test-mlogloss:0.916970+0.025322 
## [458]    train-mlogloss:0.010497+0.000117    test-mlogloss:0.917281+0.025404 
## [459]    train-mlogloss:0.010480+0.000116    test-mlogloss:0.917734+0.025413 
## [460]    train-mlogloss:0.010462+0.000116    test-mlogloss:0.918087+0.025600 
## [461]    train-mlogloss:0.010446+0.000115    test-mlogloss:0.918285+0.025673 
## [462]    train-mlogloss:0.010428+0.000115    test-mlogloss:0.918581+0.025656 
## [463]    train-mlogloss:0.010414+0.000116    test-mlogloss:0.918806+0.025786 
## [464]    train-mlogloss:0.010398+0.000115    test-mlogloss:0.919158+0.025858 
## [465]    train-mlogloss:0.010382+0.000114    test-mlogloss:0.919322+0.025967 
## [466]    train-mlogloss:0.010365+0.000114    test-mlogloss:0.919607+0.026133 
## [467]    train-mlogloss:0.010348+0.000115    test-mlogloss:0.919936+0.026241 
## [468]    train-mlogloss:0.010333+0.000114    test-mlogloss:0.920065+0.026264 
## [469]    train-mlogloss:0.010317+0.000114    test-mlogloss:0.920150+0.026233 
## [470]    train-mlogloss:0.010301+0.000115    test-mlogloss:0.920528+0.026103 
## [471]    train-mlogloss:0.010283+0.000116    test-mlogloss:0.920653+0.026091 
## [472]    train-mlogloss:0.010268+0.000114    test-mlogloss:0.920844+0.026127 
## [473]    train-mlogloss:0.010253+0.000114    test-mlogloss:0.920766+0.025927 
## [474]    train-mlogloss:0.010237+0.000115    test-mlogloss:0.921148+0.025991 
## [475]    train-mlogloss:0.010220+0.000114    test-mlogloss:0.921406+0.025974 
## [476]    train-mlogloss:0.010205+0.000113    test-mlogloss:0.921586+0.025797 
## [477]    train-mlogloss:0.010190+0.000112    test-mlogloss:0.921745+0.025931 
## [478]    train-mlogloss:0.010174+0.000111    test-mlogloss:0.922191+0.025866 
## [479]    train-mlogloss:0.010158+0.000109    test-mlogloss:0.922509+0.025787 
## [480]    train-mlogloss:0.010142+0.000108    test-mlogloss:0.922862+0.025810 
## [481]    train-mlogloss:0.010128+0.000107    test-mlogloss:0.923286+0.025769 
## [482]    train-mlogloss:0.010114+0.000108    test-mlogloss:0.923582+0.025678 
## [483]    train-mlogloss:0.010098+0.000107    test-mlogloss:0.923877+0.025659 
## [484]    train-mlogloss:0.010083+0.000106    test-mlogloss:0.924173+0.025677 
## [485]    train-mlogloss:0.010069+0.000107    test-mlogloss:0.924266+0.025662 
## [486]    train-mlogloss:0.010054+0.000106    test-mlogloss:0.924563+0.025575 
## [487]    train-mlogloss:0.010039+0.000103    test-mlogloss:0.924941+0.025527 
## [488]    train-mlogloss:0.010024+0.000104    test-mlogloss:0.925121+0.025593 
## [489]    train-mlogloss:0.010010+0.000103    test-mlogloss:0.925312+0.025403 
## [490]    train-mlogloss:0.009996+0.000102    test-mlogloss:0.925453+0.025314 
## [491]    train-mlogloss:0.009980+0.000102    test-mlogloss:0.925675+0.025260 
## [492]    train-mlogloss:0.009967+0.000102    test-mlogloss:0.925868+0.025247 
## [493]    train-mlogloss:0.009953+0.000102    test-mlogloss:0.926072+0.025057 
## [494]    train-mlogloss:0.009939+0.000102    test-mlogloss:0.926349+0.025109 
## [495]    train-mlogloss:0.009924+0.000102    test-mlogloss:0.926808+0.025057 
## [496]    train-mlogloss:0.009909+0.000101    test-mlogloss:0.926868+0.025137 
## [497]    train-mlogloss:0.009895+0.000101    test-mlogloss:0.927078+0.025454 
## [498]    train-mlogloss:0.009880+0.000099    test-mlogloss:0.927445+0.025478 
## [499]    train-mlogloss:0.009867+0.000098    test-mlogloss:0.927714+0.025496 
## [500]    train-mlogloss:0.009852+0.000099    test-mlogloss:0.927730+0.025534 
## [1]  train-mlogloss:0.538439+0.001160    test-mlogloss:0.557137+0.006430 
## [2]  train-mlogloss:0.507309+0.001683    test-mlogloss:0.541870+0.008425 
## [3]  train-mlogloss:0.495007+0.002041    test-mlogloss:0.540764+0.009442 
## [4]  train-mlogloss:0.487905+0.002799    test-mlogloss:0.543244+0.011323 
## [5]  train-mlogloss:0.482161+0.002099    test-mlogloss:0.545849+0.011776 
## [6]  train-mlogloss:0.477404+0.003807    test-mlogloss:0.547197+0.012135 
## [7]  train-mlogloss:0.473636+0.002316    test-mlogloss:0.547904+0.012862 
## [8]  train-mlogloss:0.467517+0.003240    test-mlogloss:0.550678+0.012951 
## [9]  train-mlogloss:0.461642+0.004017    test-mlogloss:0.552959+0.012044 
## [10] train-mlogloss:0.456517+0.004860    test-mlogloss:0.554537+0.012088 
## [11] train-mlogloss:0.451222+0.004709    test-mlogloss:0.555349+0.011463 
## [12] train-mlogloss:0.444905+0.003833    test-mlogloss:0.557503+0.009724 
## [13] train-mlogloss:0.437686+0.005970    test-mlogloss:0.559390+0.010532 
## [14] train-mlogloss:0.433941+0.005709    test-mlogloss:0.561294+0.009702 
## [15] train-mlogloss:0.429874+0.004809    test-mlogloss:0.563881+0.010521 
## [16] train-mlogloss:0.425921+0.004300    test-mlogloss:0.564618+0.010310 
## [17] train-mlogloss:0.421734+0.003910    test-mlogloss:0.566002+0.010545 
## [18] train-mlogloss:0.415790+0.005240    test-mlogloss:0.568459+0.012902 
## [19] train-mlogloss:0.410448+0.005859    test-mlogloss:0.570237+0.012753 
## [20] train-mlogloss:0.404595+0.005103    test-mlogloss:0.571752+0.012980 
## [21] train-mlogloss:0.398764+0.005926    test-mlogloss:0.574324+0.014061 
## [22] train-mlogloss:0.394819+0.007037    test-mlogloss:0.575798+0.013858 
## [23] train-mlogloss:0.390233+0.007988    test-mlogloss:0.578643+0.014605 
## [24] train-mlogloss:0.384970+0.008969    test-mlogloss:0.580773+0.017007 
## [25] train-mlogloss:0.380433+0.008200    test-mlogloss:0.582533+0.016395 
## [26] train-mlogloss:0.375820+0.006835    test-mlogloss:0.585114+0.016547 
## [27] train-mlogloss:0.372413+0.006593    test-mlogloss:0.587463+0.018176 
## [28] train-mlogloss:0.366616+0.007583    test-mlogloss:0.590478+0.016031 
## [29] train-mlogloss:0.362419+0.007710    test-mlogloss:0.592851+0.016644 
## [30] train-mlogloss:0.358362+0.006977    test-mlogloss:0.595969+0.016492 
## [31] train-mlogloss:0.353705+0.006220    test-mlogloss:0.598598+0.015584 
## [32] train-mlogloss:0.348588+0.005011    test-mlogloss:0.601225+0.016005 
## [33] train-mlogloss:0.344828+0.005687    test-mlogloss:0.602260+0.017425 
## [34] train-mlogloss:0.341250+0.005759    test-mlogloss:0.603479+0.016578 
## [35] train-mlogloss:0.336608+0.005715    test-mlogloss:0.605753+0.017004 
## [36] train-mlogloss:0.332646+0.005338    test-mlogloss:0.606471+0.016727 
## [37] train-mlogloss:0.329204+0.005766    test-mlogloss:0.607587+0.017785 
## [38] train-mlogloss:0.325637+0.006486    test-mlogloss:0.609742+0.018108 
## [39] train-mlogloss:0.321922+0.006705    test-mlogloss:0.611582+0.018872 
## [40] train-mlogloss:0.316692+0.007801    test-mlogloss:0.615080+0.018911 
## [41] train-mlogloss:0.312802+0.007751    test-mlogloss:0.616720+0.018825 
## [42] train-mlogloss:0.309402+0.008475    test-mlogloss:0.618296+0.019822 
## [43] train-mlogloss:0.306665+0.009432    test-mlogloss:0.619879+0.020084 
## [44] train-mlogloss:0.304151+0.009761    test-mlogloss:0.621586+0.019962 
## [45] train-mlogloss:0.301426+0.008713    test-mlogloss:0.623676+0.019151 
## [46] train-mlogloss:0.296844+0.008442    test-mlogloss:0.625395+0.019472 
## [47] train-mlogloss:0.294841+0.008019    test-mlogloss:0.625435+0.019298 
## [48] train-mlogloss:0.291026+0.006798    test-mlogloss:0.626283+0.017976 
## [49] train-mlogloss:0.288764+0.007568    test-mlogloss:0.627682+0.018749 
## [50] train-mlogloss:0.286417+0.006737    test-mlogloss:0.629047+0.018306 
## [51] train-mlogloss:0.282984+0.006433    test-mlogloss:0.629316+0.018680 
## [52] train-mlogloss:0.279543+0.006251    test-mlogloss:0.630834+0.018809 
## [53] train-mlogloss:0.276120+0.005663    test-mlogloss:0.631322+0.017773 
## [54] train-mlogloss:0.273076+0.006427    test-mlogloss:0.633990+0.018308 
## [55] train-mlogloss:0.270639+0.005935    test-mlogloss:0.635211+0.018396 
## [56] train-mlogloss:0.268424+0.004409    test-mlogloss:0.636024+0.018442 
## [57] train-mlogloss:0.266020+0.004160    test-mlogloss:0.637627+0.019557 
## [58] train-mlogloss:0.263970+0.003711    test-mlogloss:0.638518+0.019508 
## [59] train-mlogloss:0.260863+0.004021    test-mlogloss:0.640698+0.021050 
## [60] train-mlogloss:0.257454+0.004204    test-mlogloss:0.642258+0.021800 
## [61] train-mlogloss:0.254510+0.003964    test-mlogloss:0.644043+0.021734 
## [62] train-mlogloss:0.252390+0.003844    test-mlogloss:0.644983+0.021651 
## [63] train-mlogloss:0.250623+0.003676    test-mlogloss:0.646495+0.022645 
## [64] train-mlogloss:0.248055+0.003778    test-mlogloss:0.647770+0.022216 
## [65] train-mlogloss:0.245737+0.002783    test-mlogloss:0.648989+0.021813 
## [66] train-mlogloss:0.243158+0.002379    test-mlogloss:0.651182+0.021456 
## [67] train-mlogloss:0.240470+0.003365    test-mlogloss:0.652926+0.021208 
## [68] train-mlogloss:0.238663+0.003963    test-mlogloss:0.654443+0.022523 
## [69] train-mlogloss:0.235660+0.003947    test-mlogloss:0.655436+0.023005 
## [70] train-mlogloss:0.233507+0.003269    test-mlogloss:0.656568+0.022970 
## [71] train-mlogloss:0.230890+0.002877    test-mlogloss:0.658006+0.022696 
## [72] train-mlogloss:0.227989+0.003474    test-mlogloss:0.660484+0.023087 
## [73] train-mlogloss:0.225611+0.003100    test-mlogloss:0.662035+0.022860 
## [74] train-mlogloss:0.223017+0.002810    test-mlogloss:0.664100+0.023539 
## [75] train-mlogloss:0.220769+0.003239    test-mlogloss:0.664770+0.024460 
## [76] train-mlogloss:0.217892+0.003741    test-mlogloss:0.666586+0.025204 
## [77] train-mlogloss:0.215644+0.004333    test-mlogloss:0.668346+0.026263 
## [78] train-mlogloss:0.213077+0.003162    test-mlogloss:0.670347+0.024143 
## [79] train-mlogloss:0.210974+0.003274    test-mlogloss:0.670469+0.024791 
## [80] train-mlogloss:0.208515+0.002010    test-mlogloss:0.673185+0.023567 
## [81] train-mlogloss:0.205925+0.001902    test-mlogloss:0.675575+0.024858 
## [82] train-mlogloss:0.204233+0.001720    test-mlogloss:0.676505+0.024431 
## [83] train-mlogloss:0.202408+0.002303    test-mlogloss:0.678843+0.025081 
## [84] train-mlogloss:0.200097+0.002635    test-mlogloss:0.680291+0.024919 
## [85] train-mlogloss:0.198411+0.002111    test-mlogloss:0.681616+0.025084 
## [86] train-mlogloss:0.196557+0.002665    test-mlogloss:0.683093+0.025059 
## [87] train-mlogloss:0.194901+0.002936    test-mlogloss:0.684513+0.025039 
## [88] train-mlogloss:0.192765+0.002573    test-mlogloss:0.685998+0.023313 
## [89] train-mlogloss:0.191019+0.003200    test-mlogloss:0.688025+0.023274 
## [90] train-mlogloss:0.189733+0.003082    test-mlogloss:0.689309+0.023633 
## [91] train-mlogloss:0.188270+0.003177    test-mlogloss:0.689669+0.023503 
## [92] train-mlogloss:0.186802+0.003417    test-mlogloss:0.691488+0.023961 
## [93] train-mlogloss:0.185516+0.004025    test-mlogloss:0.692270+0.024334 
## [94] train-mlogloss:0.184399+0.004327    test-mlogloss:0.693100+0.025288 
## [95] train-mlogloss:0.183128+0.004817    test-mlogloss:0.694731+0.026729 
## [96] train-mlogloss:0.181721+0.005524    test-mlogloss:0.695656+0.026008 
## [97] train-mlogloss:0.179681+0.005881    test-mlogloss:0.697614+0.027202 
## [98] train-mlogloss:0.178445+0.005529    test-mlogloss:0.698635+0.027922 
## [99] train-mlogloss:0.176820+0.005723    test-mlogloss:0.700050+0.027076 
## [100]    train-mlogloss:0.175668+0.005596    test-mlogloss:0.700970+0.026968 
## [101]    train-mlogloss:0.173946+0.005506    test-mlogloss:0.703409+0.027611 
## [102]    train-mlogloss:0.172600+0.005158    test-mlogloss:0.704167+0.027779 
## [103]    train-mlogloss:0.170632+0.004836    test-mlogloss:0.705122+0.028084 
## [104]    train-mlogloss:0.169406+0.004975    test-mlogloss:0.706080+0.028238 
## [105]    train-mlogloss:0.167165+0.005121    test-mlogloss:0.706728+0.028268 
## [106]    train-mlogloss:0.165696+0.005444    test-mlogloss:0.708553+0.028799 
## [107]    train-mlogloss:0.163588+0.004985    test-mlogloss:0.710009+0.028661 
## [108]    train-mlogloss:0.161716+0.005370    test-mlogloss:0.711082+0.028826 
## [109]    train-mlogloss:0.160443+0.005618    test-mlogloss:0.711978+0.029300 
## [110]    train-mlogloss:0.159115+0.005624    test-mlogloss:0.713044+0.029099 
## [111]    train-mlogloss:0.157742+0.005437    test-mlogloss:0.714865+0.028275 
## [112]    train-mlogloss:0.156189+0.004956    test-mlogloss:0.716314+0.027541 
## [113]    train-mlogloss:0.154436+0.004699    test-mlogloss:0.717625+0.028121 
## [114]    train-mlogloss:0.152541+0.004691    test-mlogloss:0.718724+0.029150 
## [115]    train-mlogloss:0.151294+0.004732    test-mlogloss:0.720195+0.029062 
## [116]    train-mlogloss:0.150278+0.004503    test-mlogloss:0.721790+0.029128 
## [117]    train-mlogloss:0.149386+0.004955    test-mlogloss:0.723153+0.028894 
## [118]    train-mlogloss:0.147956+0.005056    test-mlogloss:0.723350+0.029292 
## [119]    train-mlogloss:0.146451+0.004844    test-mlogloss:0.724411+0.029573 
## [120]    train-mlogloss:0.144994+0.005059    test-mlogloss:0.725833+0.029334 
## [121]    train-mlogloss:0.143615+0.005303    test-mlogloss:0.726195+0.029130 
## [122]    train-mlogloss:0.142681+0.005134    test-mlogloss:0.726758+0.029195 
## [123]    train-mlogloss:0.141180+0.005126    test-mlogloss:0.727470+0.028778 
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## [490]    train-mlogloss:0.019562+0.000814    test-mlogloss:1.018908+0.048336 
## [491]    train-mlogloss:0.019521+0.000819    test-mlogloss:1.019385+0.048165 
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## [494]    train-mlogloss:0.019316+0.000878    test-mlogloss:1.022134+0.049477 
## [495]    train-mlogloss:0.019264+0.000896    test-mlogloss:1.022849+0.049732 
## [496]    train-mlogloss:0.019197+0.000915    test-mlogloss:1.023410+0.049861 
## [497]    train-mlogloss:0.019160+0.000920    test-mlogloss:1.023585+0.050009 
## [498]    train-mlogloss:0.019104+0.000899    test-mlogloss:1.024160+0.049564 
## [499]    train-mlogloss:0.019048+0.000897    test-mlogloss:1.024357+0.049223 
## [500]    train-mlogloss:0.018958+0.000894    test-mlogloss:1.025001+0.049382 
## [1]  train-mlogloss:0.440090+0.006483    test-mlogloss:0.583535+0.015187 
## [2]  train-mlogloss:0.337905+0.004113    test-mlogloss:0.582767+0.023293 
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## [4]  train-mlogloss:0.230023+0.005231    test-mlogloss:0.618143+0.032482 
## [5]  train-mlogloss:0.197094+0.004148    test-mlogloss:0.631043+0.033675 
## [6]  train-mlogloss:0.176293+0.004056    test-mlogloss:0.641355+0.035000 
## [7]  train-mlogloss:0.158181+0.006930    test-mlogloss:0.651321+0.035587 
## [8]  train-mlogloss:0.144269+0.008318    test-mlogloss:0.659594+0.038200 
## [9]  train-mlogloss:0.132643+0.009701    test-mlogloss:0.667653+0.039002 
## [10] train-mlogloss:0.119725+0.010500    test-mlogloss:0.674220+0.041359 
## [11] train-mlogloss:0.110080+0.007771    test-mlogloss:0.679405+0.042673 
## [12] train-mlogloss:0.103044+0.005973    test-mlogloss:0.685445+0.043610 
## [13] train-mlogloss:0.095934+0.005645    test-mlogloss:0.692128+0.043847 
## [14] train-mlogloss:0.089138+0.004290    test-mlogloss:0.698190+0.043461 
## [15] train-mlogloss:0.083775+0.003075    test-mlogloss:0.704161+0.044495 
## [16] train-mlogloss:0.079369+0.003206    test-mlogloss:0.707061+0.044641 
## [17] train-mlogloss:0.074335+0.002989    test-mlogloss:0.712107+0.044646 
## [18] train-mlogloss:0.070706+0.003568    test-mlogloss:0.716830+0.047473 
## [19] train-mlogloss:0.067458+0.003704    test-mlogloss:0.719876+0.047989 
## [20] train-mlogloss:0.064210+0.003573    test-mlogloss:0.725351+0.048815 
## [21] train-mlogloss:0.061253+0.003172    test-mlogloss:0.731092+0.049964 
## [22] train-mlogloss:0.058139+0.002995    test-mlogloss:0.737614+0.051611 
## [23] train-mlogloss:0.055387+0.002545    test-mlogloss:0.742561+0.053211 
## [24] train-mlogloss:0.052703+0.002183    test-mlogloss:0.749237+0.053985 
## [25] train-mlogloss:0.050582+0.001811    test-mlogloss:0.751508+0.054465 
## [26] train-mlogloss:0.048682+0.001817    test-mlogloss:0.756688+0.054699 
## [27] train-mlogloss:0.046765+0.001858    test-mlogloss:0.759766+0.054638 
## [28] train-mlogloss:0.045230+0.001741    test-mlogloss:0.762600+0.055116 
## [29] train-mlogloss:0.043516+0.001555    test-mlogloss:0.765106+0.055325 
## [30] train-mlogloss:0.042073+0.001493    test-mlogloss:0.769107+0.056137 
## [31] train-mlogloss:0.040790+0.001077    test-mlogloss:0.772945+0.056552 
## [32] train-mlogloss:0.039704+0.001062    test-mlogloss:0.776534+0.056812 
## [33] train-mlogloss:0.038496+0.001013    test-mlogloss:0.780243+0.057055 
## [34] train-mlogloss:0.037318+0.000895    test-mlogloss:0.784813+0.057621 
## [35] train-mlogloss:0.036239+0.000885    test-mlogloss:0.787420+0.057010 
## [36] train-mlogloss:0.035395+0.000804    test-mlogloss:0.790789+0.056629 
## [37] train-mlogloss:0.034457+0.000732    test-mlogloss:0.794066+0.057320 
## [38] train-mlogloss:0.033610+0.000737    test-mlogloss:0.797602+0.058265 
## [39] train-mlogloss:0.032772+0.000697    test-mlogloss:0.800208+0.058684 
## [40] train-mlogloss:0.031942+0.000626    test-mlogloss:0.801784+0.058187 
## [41] train-mlogloss:0.031204+0.000562    test-mlogloss:0.804445+0.058981 
## [42] train-mlogloss:0.030502+0.000564    test-mlogloss:0.806947+0.060200 
## [43] train-mlogloss:0.029846+0.000558    test-mlogloss:0.809128+0.060665 
## [44] train-mlogloss:0.029133+0.000508    test-mlogloss:0.811841+0.060450 
## [45] train-mlogloss:0.028548+0.000477    test-mlogloss:0.813472+0.061138 
## [46] train-mlogloss:0.027998+0.000495    test-mlogloss:0.815835+0.060727 
## [47] train-mlogloss:0.027468+0.000477    test-mlogloss:0.818229+0.061744 
## [48] train-mlogloss:0.026934+0.000479    test-mlogloss:0.820204+0.061409 
## [49] train-mlogloss:0.026458+0.000512    test-mlogloss:0.822680+0.061582 
## [50] train-mlogloss:0.025962+0.000496    test-mlogloss:0.824822+0.062684 
## [51] train-mlogloss:0.025537+0.000512    test-mlogloss:0.826870+0.063210 
## [52] train-mlogloss:0.025114+0.000516    test-mlogloss:0.828858+0.063876 
## [53] train-mlogloss:0.024684+0.000535    test-mlogloss:0.831954+0.064225 
## [54] train-mlogloss:0.024271+0.000525    test-mlogloss:0.833837+0.064728 
## [55] train-mlogloss:0.023831+0.000518    test-mlogloss:0.836141+0.064778 
## [56] train-mlogloss:0.023454+0.000531    test-mlogloss:0.839622+0.065149 
## [57] train-mlogloss:0.023075+0.000505    test-mlogloss:0.842569+0.066008 
## [58] train-mlogloss:0.022717+0.000474    test-mlogloss:0.844832+0.066118 
## [59] train-mlogloss:0.022384+0.000442    test-mlogloss:0.846097+0.065671 
## [60] train-mlogloss:0.022051+0.000440    test-mlogloss:0.848701+0.066103 
## [61] train-mlogloss:0.021767+0.000440    test-mlogloss:0.850230+0.067181 
## [62] train-mlogloss:0.021461+0.000458    test-mlogloss:0.852501+0.067251 
## [63] train-mlogloss:0.021175+0.000444    test-mlogloss:0.853628+0.067634 
## [64] train-mlogloss:0.020865+0.000433    test-mlogloss:0.855032+0.068049 
## [65] train-mlogloss:0.020576+0.000415    test-mlogloss:0.857277+0.067957 
## [66] train-mlogloss:0.020309+0.000406    test-mlogloss:0.858754+0.068178 
## [67] train-mlogloss:0.020042+0.000422    test-mlogloss:0.860599+0.067154 
## [68] train-mlogloss:0.019782+0.000424    test-mlogloss:0.862032+0.067539 
## [69] train-mlogloss:0.019514+0.000408    test-mlogloss:0.863732+0.067006 
## [70] train-mlogloss:0.019263+0.000420    test-mlogloss:0.865568+0.067239 
## [71] train-mlogloss:0.019026+0.000406    test-mlogloss:0.866696+0.066797 
## [72] train-mlogloss:0.018816+0.000396    test-mlogloss:0.867929+0.067126 
## [73] train-mlogloss:0.018595+0.000385    test-mlogloss:0.869514+0.067247 
## [74] train-mlogloss:0.018381+0.000366    test-mlogloss:0.870523+0.067606 
## [75] train-mlogloss:0.018174+0.000374    test-mlogloss:0.871588+0.068634 
## [76] train-mlogloss:0.017977+0.000379    test-mlogloss:0.873948+0.069066 
## [77] train-mlogloss:0.017790+0.000386    test-mlogloss:0.875482+0.069139 
## [78] train-mlogloss:0.017601+0.000379    test-mlogloss:0.876800+0.068987 
## [79] train-mlogloss:0.017422+0.000377    test-mlogloss:0.878576+0.068214 
## [80] train-mlogloss:0.017232+0.000361    test-mlogloss:0.878989+0.068623 
## [81] train-mlogloss:0.017059+0.000353    test-mlogloss:0.879801+0.068322 
## [82] train-mlogloss:0.016890+0.000352    test-mlogloss:0.881685+0.068216 
## [83] train-mlogloss:0.016725+0.000359    test-mlogloss:0.883470+0.068789 
## [84] train-mlogloss:0.016556+0.000352    test-mlogloss:0.884537+0.068792 
## [85] train-mlogloss:0.016392+0.000336    test-mlogloss:0.885106+0.069217 
## [86] train-mlogloss:0.016244+0.000344    test-mlogloss:0.887746+0.069623 
## [87] train-mlogloss:0.016086+0.000340    test-mlogloss:0.888751+0.069675 
## [88] train-mlogloss:0.015937+0.000341    test-mlogloss:0.890002+0.070186 
## [89] train-mlogloss:0.015792+0.000343    test-mlogloss:0.891117+0.071009 
## [90] train-mlogloss:0.015645+0.000348    test-mlogloss:0.892025+0.070607 
## [91] train-mlogloss:0.015523+0.000343    test-mlogloss:0.892981+0.070839 
## [92] train-mlogloss:0.015388+0.000332    test-mlogloss:0.894811+0.070682 
## [93] train-mlogloss:0.015256+0.000325    test-mlogloss:0.896206+0.071799 
## [94] train-mlogloss:0.015135+0.000331    test-mlogloss:0.897347+0.072061 
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## [96] train-mlogloss:0.014900+0.000322    test-mlogloss:0.898857+0.072193 
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## [98] train-mlogloss:0.014673+0.000330    test-mlogloss:0.900319+0.072467 
## [99] train-mlogloss:0.014556+0.000331    test-mlogloss:0.901413+0.072338 
## [100]    train-mlogloss:0.014436+0.000321    test-mlogloss:0.902986+0.072124 
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## [104]    train-mlogloss:0.013991+0.000310    test-mlogloss:0.907535+0.072819 
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## [106]    train-mlogloss:0.013792+0.000294    test-mlogloss:0.910312+0.072591 
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## [445]    train-mlogloss:0.005476+0.000082    test-mlogloss:1.055563+0.078100 
## [446]    train-mlogloss:0.005470+0.000082    test-mlogloss:1.055755+0.077713 
## [447]    train-mlogloss:0.005463+0.000082    test-mlogloss:1.055573+0.077457 
## [448]    train-mlogloss:0.005455+0.000083    test-mlogloss:1.055772+0.077548 
## [449]    train-mlogloss:0.005447+0.000082    test-mlogloss:1.055817+0.077667 
## [450]    train-mlogloss:0.005441+0.000082    test-mlogloss:1.056415+0.077503 
## [451]    train-mlogloss:0.005434+0.000082    test-mlogloss:1.056561+0.077249 
## [452]    train-mlogloss:0.005427+0.000082    test-mlogloss:1.056881+0.077292 
## [453]    train-mlogloss:0.005420+0.000082    test-mlogloss:1.057131+0.077509 
## [454]    train-mlogloss:0.005414+0.000081    test-mlogloss:1.057637+0.077204 
## [455]    train-mlogloss:0.005407+0.000081    test-mlogloss:1.057738+0.077212 
## [456]    train-mlogloss:0.005400+0.000080    test-mlogloss:1.057879+0.077289 
## [457]    train-mlogloss:0.005393+0.000081    test-mlogloss:1.058323+0.077066 
## [458]    train-mlogloss:0.005386+0.000080    test-mlogloss:1.058271+0.077268 
## [459]    train-mlogloss:0.005380+0.000078    test-mlogloss:1.058272+0.077510 
## [460]    train-mlogloss:0.005374+0.000078    test-mlogloss:1.058690+0.077488 
## [461]    train-mlogloss:0.005366+0.000077    test-mlogloss:1.058604+0.077845 
## [462]    train-mlogloss:0.005360+0.000077    test-mlogloss:1.059150+0.078033 
## [463]    train-mlogloss:0.005354+0.000076    test-mlogloss:1.059216+0.077899 
## [464]    train-mlogloss:0.005348+0.000076    test-mlogloss:1.059275+0.077798 
## [465]    train-mlogloss:0.005341+0.000076    test-mlogloss:1.059436+0.077940 
## [466]    train-mlogloss:0.005335+0.000077    test-mlogloss:1.059341+0.077888 
## [467]    train-mlogloss:0.005329+0.000077    test-mlogloss:1.059430+0.077614 
## [468]    train-mlogloss:0.005323+0.000077    test-mlogloss:1.059567+0.077681 
## [469]    train-mlogloss:0.005317+0.000077    test-mlogloss:1.059815+0.077585 
## [470]    train-mlogloss:0.005312+0.000076    test-mlogloss:1.060072+0.077535 
## [471]    train-mlogloss:0.005306+0.000077    test-mlogloss:1.060215+0.077682 
## [472]    train-mlogloss:0.005300+0.000076    test-mlogloss:1.060435+0.077815 
## [473]    train-mlogloss:0.005294+0.000076    test-mlogloss:1.060761+0.078167 
## [474]    train-mlogloss:0.005289+0.000077    test-mlogloss:1.060989+0.078136 
## [475]    train-mlogloss:0.005283+0.000077    test-mlogloss:1.061360+0.077967 
## [476]    train-mlogloss:0.005277+0.000077    test-mlogloss:1.061281+0.077766 
## [477]    train-mlogloss:0.005271+0.000076    test-mlogloss:1.061661+0.078044 
## [478]    train-mlogloss:0.005265+0.000077    test-mlogloss:1.061795+0.077957 
## [479]    train-mlogloss:0.005259+0.000077    test-mlogloss:1.061931+0.077930 
## [480]    train-mlogloss:0.005253+0.000078    test-mlogloss:1.062439+0.077716 
## [481]    train-mlogloss:0.005247+0.000078    test-mlogloss:1.062322+0.077772 
## [482]    train-mlogloss:0.005241+0.000077    test-mlogloss:1.062612+0.077724 
## [483]    train-mlogloss:0.005234+0.000077    test-mlogloss:1.062972+0.077703 
## [484]    train-mlogloss:0.005228+0.000076    test-mlogloss:1.062991+0.077424 
## [485]    train-mlogloss:0.005223+0.000076    test-mlogloss:1.063347+0.077734 
## [486]    train-mlogloss:0.005216+0.000077    test-mlogloss:1.063766+0.077757 
## [487]    train-mlogloss:0.005211+0.000077    test-mlogloss:1.063779+0.077631 
## [488]    train-mlogloss:0.005205+0.000077    test-mlogloss:1.064036+0.077522 
## [489]    train-mlogloss:0.005199+0.000076    test-mlogloss:1.064192+0.077931 
## [490]    train-mlogloss:0.005194+0.000077    test-mlogloss:1.064574+0.077855 
## [491]    train-mlogloss:0.005189+0.000077    test-mlogloss:1.064793+0.078131 
## [492]    train-mlogloss:0.005183+0.000076    test-mlogloss:1.065261+0.078193 
## [493]    train-mlogloss:0.005178+0.000076    test-mlogloss:1.065206+0.078152 
## [494]    train-mlogloss:0.005172+0.000076    test-mlogloss:1.065495+0.078375 
## [495]    train-mlogloss:0.005166+0.000076    test-mlogloss:1.065648+0.078442 
## [496]    train-mlogloss:0.005161+0.000076    test-mlogloss:1.065784+0.078325 
## [497]    train-mlogloss:0.005156+0.000076    test-mlogloss:1.065545+0.078484 
## [498]    train-mlogloss:0.005150+0.000076    test-mlogloss:1.065988+0.078316 
## [499]    train-mlogloss:0.005145+0.000075    test-mlogloss:1.066072+0.078509 
## [500]    train-mlogloss:0.005140+0.000075    test-mlogloss:1.066332+0.078520 
## [1]  train-mlogloss:0.523577+0.001748    test-mlogloss:0.546070+0.007541 
## [2]  train-mlogloss:0.503193+0.002421    test-mlogloss:0.544135+0.008152 
## [3]  train-mlogloss:0.492094+0.002453    test-mlogloss:0.547101+0.007749 
## [4]  train-mlogloss:0.486043+0.002264    test-mlogloss:0.550944+0.007343 
## [5]  train-mlogloss:0.478863+0.002229    test-mlogloss:0.553660+0.008988 
## [6]  train-mlogloss:0.471429+0.004659    test-mlogloss:0.556749+0.008878 
## [7]  train-mlogloss:0.464829+0.003319    test-mlogloss:0.561155+0.009592 
## [8]  train-mlogloss:0.458808+0.002480    test-mlogloss:0.564519+0.008750 
## [9]  train-mlogloss:0.451322+0.004228    test-mlogloss:0.567746+0.010955 
## [10] train-mlogloss:0.444391+0.006056    test-mlogloss:0.570604+0.010893 
## [11] train-mlogloss:0.437975+0.006222    test-mlogloss:0.574509+0.009950 
## [12] train-mlogloss:0.431701+0.006424    test-mlogloss:0.576653+0.010272 
## [13] train-mlogloss:0.426254+0.006150    test-mlogloss:0.579632+0.010329 
## [14] train-mlogloss:0.418826+0.006358    test-mlogloss:0.582874+0.009723 
## [15] train-mlogloss:0.412762+0.006709    test-mlogloss:0.585389+0.008365 
## [16] train-mlogloss:0.405824+0.006235    test-mlogloss:0.589435+0.008035 
## [17] train-mlogloss:0.399987+0.006343    test-mlogloss:0.590941+0.008061 
## [18] train-mlogloss:0.393375+0.007245    test-mlogloss:0.594423+0.009331 
## [19] train-mlogloss:0.387548+0.006948    test-mlogloss:0.596380+0.009646 
## [20] train-mlogloss:0.380970+0.005692    test-mlogloss:0.600057+0.010618 
## [21] train-mlogloss:0.375286+0.004209    test-mlogloss:0.604412+0.009224 
## [22] train-mlogloss:0.367360+0.005645    test-mlogloss:0.605543+0.009088 
## [23] train-mlogloss:0.361667+0.006098    test-mlogloss:0.606135+0.009692 
## [24] train-mlogloss:0.355906+0.004728    test-mlogloss:0.608137+0.008997 
## [25] train-mlogloss:0.351995+0.006070    test-mlogloss:0.611017+0.010798 
## [26] train-mlogloss:0.346859+0.006593    test-mlogloss:0.612245+0.011568 
## [27] train-mlogloss:0.341712+0.006188    test-mlogloss:0.614483+0.011288 
## [28] train-mlogloss:0.336474+0.006888    test-mlogloss:0.617815+0.012425 
## [29] train-mlogloss:0.332509+0.008301    test-mlogloss:0.619848+0.013025 
## [30] train-mlogloss:0.328427+0.008485    test-mlogloss:0.621831+0.012831 
## [31] train-mlogloss:0.324931+0.008518    test-mlogloss:0.623246+0.012776 
## [32] train-mlogloss:0.320303+0.009622    test-mlogloss:0.625212+0.012251 
## [33] train-mlogloss:0.315560+0.010390    test-mlogloss:0.627195+0.011976 
## [34] train-mlogloss:0.311674+0.011453    test-mlogloss:0.629086+0.012702 
## [35] train-mlogloss:0.308581+0.010688    test-mlogloss:0.631540+0.010650 
## [36] train-mlogloss:0.303170+0.009596    test-mlogloss:0.634928+0.010146 
## [37] train-mlogloss:0.297759+0.007662    test-mlogloss:0.639799+0.011973 
## [38] train-mlogloss:0.294989+0.007076    test-mlogloss:0.640758+0.012351 
## [39] train-mlogloss:0.289266+0.005951    test-mlogloss:0.642299+0.011205 
## [40] train-mlogloss:0.285809+0.004572    test-mlogloss:0.644618+0.009371 
## [41] train-mlogloss:0.282718+0.003746    test-mlogloss:0.646310+0.008339 
## [42] train-mlogloss:0.279061+0.005005    test-mlogloss:0.649896+0.007284 
## [43] train-mlogloss:0.276325+0.003615    test-mlogloss:0.650519+0.008467 
## [44] train-mlogloss:0.272897+0.004089    test-mlogloss:0.653698+0.009121 
## [45] train-mlogloss:0.269086+0.003692    test-mlogloss:0.655354+0.010349 
## [46] train-mlogloss:0.264667+0.002372    test-mlogloss:0.658132+0.010954 
## [47] train-mlogloss:0.260998+0.003019    test-mlogloss:0.661219+0.011337 
## [48] train-mlogloss:0.257081+0.002468    test-mlogloss:0.663278+0.010623 
## [49] train-mlogloss:0.253225+0.003588    test-mlogloss:0.665942+0.010910 
## [50] train-mlogloss:0.248192+0.003824    test-mlogloss:0.667632+0.010627 
## [51] train-mlogloss:0.244278+0.003619    test-mlogloss:0.670760+0.010662 
## [52] train-mlogloss:0.241216+0.003998    test-mlogloss:0.673300+0.009390 
## [53] train-mlogloss:0.238766+0.005056    test-mlogloss:0.675152+0.010812 
## [54] train-mlogloss:0.235008+0.005501    test-mlogloss:0.678139+0.010503 
## [55] train-mlogloss:0.231491+0.003977    test-mlogloss:0.679767+0.009030 
## [56] train-mlogloss:0.228554+0.004250    test-mlogloss:0.680845+0.009786 
## [57] train-mlogloss:0.225383+0.004967    test-mlogloss:0.683552+0.011181 
## [58] train-mlogloss:0.222259+0.005540    test-mlogloss:0.684104+0.011365 
## [59] train-mlogloss:0.219186+0.005607    test-mlogloss:0.684807+0.011576 
## [60] train-mlogloss:0.216210+0.005621    test-mlogloss:0.687565+0.011368 
## [61] train-mlogloss:0.214250+0.004594    test-mlogloss:0.687501+0.011352 
## [62] train-mlogloss:0.212677+0.004524    test-mlogloss:0.688482+0.010609 
## [63] train-mlogloss:0.210859+0.003787    test-mlogloss:0.689407+0.011219 
## [64] train-mlogloss:0.207476+0.004088    test-mlogloss:0.692343+0.012964 
## [65] train-mlogloss:0.205528+0.004640    test-mlogloss:0.694306+0.012875 
## [66] train-mlogloss:0.202725+0.004900    test-mlogloss:0.696218+0.013894 
## [67] train-mlogloss:0.200441+0.004213    test-mlogloss:0.698254+0.012646 
## [68] train-mlogloss:0.197762+0.004540    test-mlogloss:0.699541+0.012951 
## [69] train-mlogloss:0.195186+0.004388    test-mlogloss:0.701974+0.012974 
## [70] train-mlogloss:0.192416+0.004513    test-mlogloss:0.704529+0.010910 
## [71] train-mlogloss:0.190314+0.004344    test-mlogloss:0.706603+0.010346 
## [72] train-mlogloss:0.188357+0.004693    test-mlogloss:0.707970+0.010071 
## [73] train-mlogloss:0.186104+0.004255    test-mlogloss:0.708857+0.010379 
## [74] train-mlogloss:0.183718+0.003982    test-mlogloss:0.711605+0.010710 
## [75] train-mlogloss:0.181355+0.003977    test-mlogloss:0.712991+0.012297 
## [76] train-mlogloss:0.178842+0.004483    test-mlogloss:0.714576+0.013109 
## [77] train-mlogloss:0.176560+0.004284    test-mlogloss:0.715393+0.013378 
## [78] train-mlogloss:0.174006+0.003828    test-mlogloss:0.718770+0.013417 
## [79] train-mlogloss:0.171675+0.003445    test-mlogloss:0.721137+0.012271 
## [80] train-mlogloss:0.170041+0.003244    test-mlogloss:0.724382+0.011244 
## [81] train-mlogloss:0.168517+0.002607    test-mlogloss:0.725914+0.012120 
## [82] train-mlogloss:0.166499+0.002760    test-mlogloss:0.727449+0.011849 
## [83] train-mlogloss:0.163769+0.002748    test-mlogloss:0.729044+0.012260 
## [84] train-mlogloss:0.161677+0.002942    test-mlogloss:0.731419+0.012572 
## [85] train-mlogloss:0.159029+0.003244    test-mlogloss:0.733248+0.010022 
## [86] train-mlogloss:0.157857+0.003197    test-mlogloss:0.734913+0.009074 
## [87] train-mlogloss:0.155699+0.003315    test-mlogloss:0.736744+0.010208 
## [88] train-mlogloss:0.153771+0.002885    test-mlogloss:0.738731+0.009046 
## [89] train-mlogloss:0.152455+0.002716    test-mlogloss:0.739487+0.009028 
## [90] train-mlogloss:0.149877+0.002669    test-mlogloss:0.742103+0.009892 
## [91] train-mlogloss:0.147607+0.003068    test-mlogloss:0.744535+0.011032 
## [92] train-mlogloss:0.146100+0.003780    test-mlogloss:0.745349+0.010861 
## [93] train-mlogloss:0.144342+0.003794    test-mlogloss:0.746524+0.010984 
## [94] train-mlogloss:0.142722+0.004183    test-mlogloss:0.748350+0.012006 
## [95] train-mlogloss:0.140851+0.003712    test-mlogloss:0.750535+0.012585 
## [96] train-mlogloss:0.138746+0.003985    test-mlogloss:0.751886+0.013016 
## [97] train-mlogloss:0.136965+0.004421    test-mlogloss:0.753461+0.012265 
## [98] train-mlogloss:0.135293+0.004814    test-mlogloss:0.755908+0.013019 
## [99] train-mlogloss:0.133873+0.004716    test-mlogloss:0.758003+0.012314 
## [100]    train-mlogloss:0.132103+0.004833    test-mlogloss:0.761365+0.012353 
## [101]    train-mlogloss:0.130491+0.004996    test-mlogloss:0.761866+0.012912 
## [102]    train-mlogloss:0.129236+0.004823    test-mlogloss:0.762729+0.012485 
## [103]    train-mlogloss:0.127843+0.004689    test-mlogloss:0.763947+0.013422 
## [104]    train-mlogloss:0.126528+0.004418    test-mlogloss:0.766094+0.011587 
## [105]    train-mlogloss:0.125331+0.004800    test-mlogloss:0.767032+0.011262 
## [106]    train-mlogloss:0.123737+0.004306    test-mlogloss:0.769734+0.011170 
## [107]    train-mlogloss:0.122343+0.004374    test-mlogloss:0.770755+0.010004 
## [108]    train-mlogloss:0.120819+0.003837    test-mlogloss:0.773006+0.009410 
## [109]    train-mlogloss:0.119462+0.003478    test-mlogloss:0.774960+0.008990 
## [110]    train-mlogloss:0.118534+0.003435    test-mlogloss:0.775953+0.008983 
## [111]    train-mlogloss:0.117281+0.003283    test-mlogloss:0.777046+0.009371 
## [112]    train-mlogloss:0.115837+0.003043    test-mlogloss:0.779050+0.009964 
## [113]    train-mlogloss:0.114396+0.002949    test-mlogloss:0.780182+0.010728 
## [114]    train-mlogloss:0.112826+0.002726    test-mlogloss:0.781968+0.011691 
## [115]    train-mlogloss:0.111583+0.002517    test-mlogloss:0.781892+0.011716 
## [116]    train-mlogloss:0.109939+0.002540    test-mlogloss:0.783487+0.012967 
## [117]    train-mlogloss:0.108572+0.002420    test-mlogloss:0.785944+0.013237 
## [118]    train-mlogloss:0.106999+0.002396    test-mlogloss:0.787308+0.014360 
## [119]    train-mlogloss:0.105997+0.002555    test-mlogloss:0.788742+0.015097 
## [120]    train-mlogloss:0.105027+0.002329    test-mlogloss:0.790239+0.015184 
## [121]    train-mlogloss:0.103768+0.002544    test-mlogloss:0.792545+0.015176 
## [122]    train-mlogloss:0.102552+0.002362    test-mlogloss:0.794272+0.015787 
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## [125]    train-mlogloss:0.100378+0.002596    test-mlogloss:0.797991+0.017396 
## [126]    train-mlogloss:0.099365+0.002615    test-mlogloss:0.798523+0.017341 
## [127]    train-mlogloss:0.098445+0.002956    test-mlogloss:0.800278+0.018097 
## [128]    train-mlogloss:0.097517+0.003173    test-mlogloss:0.801784+0.018341 
## [129]    train-mlogloss:0.096257+0.003224    test-mlogloss:0.803625+0.017120 
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## [131]    train-mlogloss:0.093793+0.002578    test-mlogloss:0.808205+0.014842 
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## [133]    train-mlogloss:0.091312+0.002100    test-mlogloss:0.810217+0.014003 
## [134]    train-mlogloss:0.090122+0.002258    test-mlogloss:0.810604+0.014379 
## [135]    train-mlogloss:0.089578+0.002199    test-mlogloss:0.810939+0.013851 
## [136]    train-mlogloss:0.088610+0.002038    test-mlogloss:0.812796+0.013571 
## [137]    train-mlogloss:0.087704+0.001725    test-mlogloss:0.814955+0.013816 
## [138]    train-mlogloss:0.086930+0.001576    test-mlogloss:0.816332+0.014701 
## [139]    train-mlogloss:0.085791+0.001617    test-mlogloss:0.818949+0.013089 
## [140]    train-mlogloss:0.084772+0.001771    test-mlogloss:0.820267+0.010996 
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## [142]    train-mlogloss:0.083121+0.001795    test-mlogloss:0.824770+0.011567 
## [143]    train-mlogloss:0.082395+0.001702    test-mlogloss:0.825187+0.011516 
## [144]    train-mlogloss:0.081495+0.001887    test-mlogloss:0.826759+0.012246 
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## [148]    train-mlogloss:0.078376+0.001940    test-mlogloss:0.832163+0.012240 
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## [390]    train-mlogloss:0.017295+0.000518    test-mlogloss:1.053231+0.020400 
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## [394]    train-mlogloss:0.017038+0.000528    test-mlogloss:1.054257+0.020579 
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## [396]    train-mlogloss:0.016932+0.000507    test-mlogloss:1.055329+0.020266 
## [397]    train-mlogloss:0.016864+0.000495    test-mlogloss:1.056142+0.020733 
## [398]    train-mlogloss:0.016790+0.000489    test-mlogloss:1.057235+0.021054 
## [399]    train-mlogloss:0.016720+0.000518    test-mlogloss:1.057438+0.020813 
## [400]    train-mlogloss:0.016670+0.000527    test-mlogloss:1.057565+0.021310 
## [401]    train-mlogloss:0.016610+0.000514    test-mlogloss:1.058571+0.021436 
## [402]    train-mlogloss:0.016556+0.000506    test-mlogloss:1.059188+0.021552 
## [403]    train-mlogloss:0.016497+0.000474    test-mlogloss:1.058816+0.021695 
## [404]    train-mlogloss:0.016449+0.000462    test-mlogloss:1.059354+0.021775 
## [405]    train-mlogloss:0.016408+0.000454    test-mlogloss:1.059965+0.021862 
## [406]    train-mlogloss:0.016361+0.000422    test-mlogloss:1.061000+0.021462 
## [407]    train-mlogloss:0.016312+0.000424    test-mlogloss:1.061340+0.021708 
## [408]    train-mlogloss:0.016247+0.000420    test-mlogloss:1.061746+0.021922 
## [409]    train-mlogloss:0.016208+0.000403    test-mlogloss:1.062619+0.021762 
## [410]    train-mlogloss:0.016166+0.000420    test-mlogloss:1.062655+0.021726 
## [411]    train-mlogloss:0.016095+0.000444    test-mlogloss:1.062879+0.022223 
## [412]    train-mlogloss:0.016016+0.000470    test-mlogloss:1.064113+0.022076 
## [413]    train-mlogloss:0.015967+0.000484    test-mlogloss:1.064385+0.022414 
## [414]    train-mlogloss:0.015888+0.000510    test-mlogloss:1.065297+0.022459 
## [415]    train-mlogloss:0.015834+0.000523    test-mlogloss:1.066608+0.022506 
## [416]    train-mlogloss:0.015797+0.000539    test-mlogloss:1.066617+0.022692 
## [417]    train-mlogloss:0.015749+0.000550    test-mlogloss:1.067184+0.022268 
## [418]    train-mlogloss:0.015696+0.000541    test-mlogloss:1.067818+0.022040 
## [419]    train-mlogloss:0.015669+0.000539    test-mlogloss:1.068267+0.022254 
## [420]    train-mlogloss:0.015637+0.000525    test-mlogloss:1.068376+0.022058 
## [421]    train-mlogloss:0.015579+0.000491    test-mlogloss:1.068944+0.022000 
## [422]    train-mlogloss:0.015525+0.000475    test-mlogloss:1.070007+0.021931 
## [423]    train-mlogloss:0.015461+0.000480    test-mlogloss:1.071016+0.022417 
## [424]    train-mlogloss:0.015414+0.000485    test-mlogloss:1.072101+0.022929 
## [425]    train-mlogloss:0.015373+0.000492    test-mlogloss:1.072443+0.023001 
## [426]    train-mlogloss:0.015327+0.000479    test-mlogloss:1.072437+0.023178 
## [427]    train-mlogloss:0.015298+0.000478    test-mlogloss:1.072235+0.023427 
## [428]    train-mlogloss:0.015251+0.000458    test-mlogloss:1.072817+0.022716 
## [429]    train-mlogloss:0.015210+0.000459    test-mlogloss:1.074048+0.023160 
## [430]    train-mlogloss:0.015156+0.000463    test-mlogloss:1.074495+0.023288 
## [431]    train-mlogloss:0.015123+0.000455    test-mlogloss:1.075079+0.023482 
## [432]    train-mlogloss:0.015071+0.000440    test-mlogloss:1.076022+0.023046 
## [433]    train-mlogloss:0.014994+0.000428    test-mlogloss:1.076627+0.023042 
## [434]    train-mlogloss:0.014917+0.000422    test-mlogloss:1.077458+0.023175 
## [435]    train-mlogloss:0.014865+0.000406    test-mlogloss:1.077911+0.023665 
## [436]    train-mlogloss:0.014816+0.000401    test-mlogloss:1.078767+0.022985 
## [437]    train-mlogloss:0.014744+0.000390    test-mlogloss:1.079304+0.022693 
## [438]    train-mlogloss:0.014694+0.000372    test-mlogloss:1.080124+0.022148 
## [439]    train-mlogloss:0.014639+0.000381    test-mlogloss:1.080465+0.022311 
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## [444]    train-mlogloss:0.014370+0.000399    test-mlogloss:1.082585+0.022517 
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## [447]    train-mlogloss:0.014217+0.000383    test-mlogloss:1.083463+0.022212 
## [448]    train-mlogloss:0.014168+0.000387    test-mlogloss:1.084016+0.022758 
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## [450]    train-mlogloss:0.014075+0.000389    test-mlogloss:1.084652+0.022660 
## [451]    train-mlogloss:0.014029+0.000396    test-mlogloss:1.084948+0.022823 
## [452]    train-mlogloss:0.013978+0.000400    test-mlogloss:1.086236+0.022400 
## [453]    train-mlogloss:0.013923+0.000411    test-mlogloss:1.087249+0.022452 
## [454]    train-mlogloss:0.013872+0.000427    test-mlogloss:1.087598+0.022666 
## [455]    train-mlogloss:0.013818+0.000433    test-mlogloss:1.088449+0.022688 
## [456]    train-mlogloss:0.013775+0.000419    test-mlogloss:1.089347+0.022655 
## [457]    train-mlogloss:0.013729+0.000409    test-mlogloss:1.089455+0.022728 
## [458]    train-mlogloss:0.013679+0.000395    test-mlogloss:1.089846+0.021852 
## [459]    train-mlogloss:0.013637+0.000387    test-mlogloss:1.090289+0.021738 
## [460]    train-mlogloss:0.013597+0.000403    test-mlogloss:1.090212+0.021672 
## [461]    train-mlogloss:0.013564+0.000394    test-mlogloss:1.091218+0.021735 
## [462]    train-mlogloss:0.013508+0.000387    test-mlogloss:1.091494+0.021894 
## [463]    train-mlogloss:0.013469+0.000383    test-mlogloss:1.091599+0.021517 
## [464]    train-mlogloss:0.013413+0.000373    test-mlogloss:1.092029+0.021754 
## [465]    train-mlogloss:0.013376+0.000372    test-mlogloss:1.092689+0.022681 
## [466]    train-mlogloss:0.013328+0.000361    test-mlogloss:1.093224+0.021926 
## [467]    train-mlogloss:0.013285+0.000355    test-mlogloss:1.094134+0.022102 
## [468]    train-mlogloss:0.013224+0.000360    test-mlogloss:1.095236+0.021156 
## [469]    train-mlogloss:0.013166+0.000356    test-mlogloss:1.096043+0.021293 
## [470]    train-mlogloss:0.013127+0.000340    test-mlogloss:1.096155+0.021227 
## [471]    train-mlogloss:0.013083+0.000334    test-mlogloss:1.096979+0.020961 
## [472]    train-mlogloss:0.013052+0.000330    test-mlogloss:1.097788+0.020578 
## [473]    train-mlogloss:0.013023+0.000326    test-mlogloss:1.097723+0.020147 
## [474]    train-mlogloss:0.012966+0.000299    test-mlogloss:1.098163+0.019943 
## [475]    train-mlogloss:0.012934+0.000294    test-mlogloss:1.098711+0.019903 
## [476]    train-mlogloss:0.012909+0.000297    test-mlogloss:1.098860+0.019734 
## [477]    train-mlogloss:0.012880+0.000312    test-mlogloss:1.099528+0.020104 
## [478]    train-mlogloss:0.012849+0.000312    test-mlogloss:1.099823+0.020051 
## [479]    train-mlogloss:0.012807+0.000294    test-mlogloss:1.100804+0.020200 
## [480]    train-mlogloss:0.012763+0.000282    test-mlogloss:1.101838+0.019767 
## [481]    train-mlogloss:0.012724+0.000277    test-mlogloss:1.101799+0.020050 
## [482]    train-mlogloss:0.012682+0.000266    test-mlogloss:1.102480+0.020040 
## [483]    train-mlogloss:0.012638+0.000261    test-mlogloss:1.102757+0.019836 
## [484]    train-mlogloss:0.012593+0.000242    test-mlogloss:1.103542+0.019913 
## [485]    train-mlogloss:0.012559+0.000234    test-mlogloss:1.103493+0.020398 
## [486]    train-mlogloss:0.012535+0.000226    test-mlogloss:1.103488+0.020257 
## [487]    train-mlogloss:0.012507+0.000216    test-mlogloss:1.104410+0.020159 
## [488]    train-mlogloss:0.012474+0.000217    test-mlogloss:1.104753+0.020176 
## [489]    train-mlogloss:0.012438+0.000207    test-mlogloss:1.105460+0.020164 
## [490]    train-mlogloss:0.012405+0.000199    test-mlogloss:1.105697+0.020047 
## [491]    train-mlogloss:0.012354+0.000191    test-mlogloss:1.106135+0.020171 
## [492]    train-mlogloss:0.012324+0.000180    test-mlogloss:1.106638+0.019678 
## [493]    train-mlogloss:0.012295+0.000183    test-mlogloss:1.106826+0.020033 
## [494]    train-mlogloss:0.012268+0.000175    test-mlogloss:1.107497+0.020160 
## [495]    train-mlogloss:0.012238+0.000170    test-mlogloss:1.107547+0.020296 
## [496]    train-mlogloss:0.012206+0.000171    test-mlogloss:1.108083+0.020244 
## [497]    train-mlogloss:0.012169+0.000169    test-mlogloss:1.108021+0.019675 
## [498]    train-mlogloss:0.012145+0.000171    test-mlogloss:1.108585+0.019903 
## [499]    train-mlogloss:0.012115+0.000178    test-mlogloss:1.109191+0.019997 
## [500]    train-mlogloss:0.012088+0.000187    test-mlogloss:1.109685+0.020166 
## [1]  train-mlogloss:0.404866+0.004492    test-mlogloss:0.583794+0.009464 
## [2]  train-mlogloss:0.304794+0.008530    test-mlogloss:0.605976+0.014191 
## [3]  train-mlogloss:0.244029+0.010603    test-mlogloss:0.626946+0.014176 
## [4]  train-mlogloss:0.201137+0.008008    test-mlogloss:0.649098+0.020567 
## [5]  train-mlogloss:0.172706+0.006079    test-mlogloss:0.667056+0.020022 
## [6]  train-mlogloss:0.150140+0.003804    test-mlogloss:0.681537+0.022530 
## [7]  train-mlogloss:0.131336+0.004736    test-mlogloss:0.694946+0.021963 
## [8]  train-mlogloss:0.118703+0.004517    test-mlogloss:0.706128+0.020331 
## [9]  train-mlogloss:0.106275+0.004640    test-mlogloss:0.716788+0.022209 
## [10] train-mlogloss:0.096198+0.003850    test-mlogloss:0.727799+0.024257 
## [11] train-mlogloss:0.088776+0.003756    test-mlogloss:0.736219+0.022844 
## [12] train-mlogloss:0.081133+0.003474    test-mlogloss:0.743584+0.025127 
## [13] train-mlogloss:0.075297+0.003118    test-mlogloss:0.749787+0.025116 
## [14] train-mlogloss:0.070246+0.001975    test-mlogloss:0.755328+0.025790 
## [15] train-mlogloss:0.065644+0.002179    test-mlogloss:0.761884+0.025826 
## [16] train-mlogloss:0.061386+0.001975    test-mlogloss:0.767408+0.025975 
## [17] train-mlogloss:0.057746+0.001630    test-mlogloss:0.775250+0.025933 
## [18] train-mlogloss:0.054657+0.001449    test-mlogloss:0.779714+0.026169 
## [19] train-mlogloss:0.051792+0.001488    test-mlogloss:0.786374+0.026097 
## [20] train-mlogloss:0.049000+0.001271    test-mlogloss:0.791174+0.024995 
## [21] train-mlogloss:0.046918+0.001342    test-mlogloss:0.798626+0.023786 
## [22] train-mlogloss:0.044716+0.001269    test-mlogloss:0.804052+0.024226 
## [23] train-mlogloss:0.042790+0.001115    test-mlogloss:0.809073+0.025187 
## [24] train-mlogloss:0.040907+0.001032    test-mlogloss:0.814382+0.025469 
## [25] train-mlogloss:0.039065+0.000930    test-mlogloss:0.821022+0.028728 
## [26] train-mlogloss:0.037666+0.000883    test-mlogloss:0.825675+0.030835 
## [27] train-mlogloss:0.036492+0.000904    test-mlogloss:0.829421+0.030911 
## [28] train-mlogloss:0.035067+0.000810    test-mlogloss:0.833261+0.029540 
## [29] train-mlogloss:0.033949+0.000751    test-mlogloss:0.836545+0.031333 
## [30] train-mlogloss:0.032776+0.000662    test-mlogloss:0.840910+0.032041 
## [31] train-mlogloss:0.031767+0.000537    test-mlogloss:0.845106+0.033275 
## [32] train-mlogloss:0.030866+0.000480    test-mlogloss:0.849636+0.033073 
## [33] train-mlogloss:0.029998+0.000402    test-mlogloss:0.852075+0.035846 
## [34] train-mlogloss:0.029138+0.000351    test-mlogloss:0.856718+0.035444 
## [35] train-mlogloss:0.028400+0.000319    test-mlogloss:0.861109+0.035524 
## [36] train-mlogloss:0.027674+0.000276    test-mlogloss:0.864346+0.036187 
## [37] train-mlogloss:0.027001+0.000171    test-mlogloss:0.868679+0.035780 
## [38] train-mlogloss:0.026315+0.000170    test-mlogloss:0.872675+0.037181 
## [39] train-mlogloss:0.025698+0.000160    test-mlogloss:0.876112+0.037349 
## [40] train-mlogloss:0.025077+0.000135    test-mlogloss:0.878173+0.037498 
## [41] train-mlogloss:0.024517+0.000144    test-mlogloss:0.879935+0.037193 
## [42] train-mlogloss:0.024020+0.000118    test-mlogloss:0.883066+0.037933 
## [43] train-mlogloss:0.023535+0.000108    test-mlogloss:0.886351+0.038858 
## [44] train-mlogloss:0.023062+0.000086    test-mlogloss:0.889698+0.038704 
## [45] train-mlogloss:0.022606+0.000085    test-mlogloss:0.892673+0.036829 
## [46] train-mlogloss:0.022149+0.000084    test-mlogloss:0.895400+0.036976 
## [47] train-mlogloss:0.021722+0.000081    test-mlogloss:0.897633+0.037631 
## [48] train-mlogloss:0.021341+0.000083    test-mlogloss:0.900118+0.037047 
## [49] train-mlogloss:0.020952+0.000087    test-mlogloss:0.902963+0.036948 
## [50] train-mlogloss:0.020558+0.000087    test-mlogloss:0.904698+0.035524 
## [51] train-mlogloss:0.020208+0.000097    test-mlogloss:0.906832+0.036771 
## [52] train-mlogloss:0.019899+0.000095    test-mlogloss:0.908565+0.037632 
## [53] train-mlogloss:0.019565+0.000104    test-mlogloss:0.911770+0.038577 
## [54] train-mlogloss:0.019256+0.000086    test-mlogloss:0.914514+0.039182 
## [55] train-mlogloss:0.018965+0.000071    test-mlogloss:0.917517+0.039177 
## [56] train-mlogloss:0.018671+0.000072    test-mlogloss:0.919555+0.040453 
## [57] train-mlogloss:0.018390+0.000078    test-mlogloss:0.921621+0.041118 
## [58] train-mlogloss:0.018132+0.000072    test-mlogloss:0.923229+0.039954 
## [59] train-mlogloss:0.017878+0.000092    test-mlogloss:0.925268+0.039427 
## [60] train-mlogloss:0.017619+0.000086    test-mlogloss:0.927820+0.039274 
## [61] train-mlogloss:0.017389+0.000092    test-mlogloss:0.928950+0.038947 
## [62] train-mlogloss:0.017148+0.000080    test-mlogloss:0.931735+0.039631 
## [63] train-mlogloss:0.016938+0.000081    test-mlogloss:0.932746+0.039096 
## [64] train-mlogloss:0.016722+0.000094    test-mlogloss:0.934669+0.040810 
## [65] train-mlogloss:0.016509+0.000101    test-mlogloss:0.937176+0.039977 
## [66] train-mlogloss:0.016308+0.000105    test-mlogloss:0.938563+0.040068 
## [67] train-mlogloss:0.016150+0.000112    test-mlogloss:0.940681+0.040245 
## [68] train-mlogloss:0.015960+0.000103    test-mlogloss:0.942650+0.042015 
## [69] train-mlogloss:0.015764+0.000113    test-mlogloss:0.943922+0.041550 
## [70] train-mlogloss:0.015589+0.000113    test-mlogloss:0.945458+0.041916 
## [71] train-mlogloss:0.015412+0.000107    test-mlogloss:0.946781+0.042919 
## [72] train-mlogloss:0.015250+0.000105    test-mlogloss:0.948529+0.043000 
## [73] train-mlogloss:0.015089+0.000106    test-mlogloss:0.949576+0.042312 
## [74] train-mlogloss:0.014925+0.000107    test-mlogloss:0.951719+0.042479 
## [75] train-mlogloss:0.014764+0.000099    test-mlogloss:0.952756+0.042254 
## [76] train-mlogloss:0.014610+0.000105    test-mlogloss:0.954481+0.042769 
## [77] train-mlogloss:0.014448+0.000109    test-mlogloss:0.954862+0.042923 
## [78] train-mlogloss:0.014314+0.000111    test-mlogloss:0.956446+0.043347 
## [79] train-mlogloss:0.014174+0.000121    test-mlogloss:0.958127+0.044665 
## [80] train-mlogloss:0.014029+0.000105    test-mlogloss:0.959179+0.044612 
## [81] train-mlogloss:0.013885+0.000112    test-mlogloss:0.961134+0.043865 
## [82] train-mlogloss:0.013762+0.000110    test-mlogloss:0.961853+0.043957 
## [83] train-mlogloss:0.013644+0.000112    test-mlogloss:0.963013+0.043259 
## [84] train-mlogloss:0.013516+0.000118    test-mlogloss:0.964136+0.043694 
## [85] train-mlogloss:0.013397+0.000116    test-mlogloss:0.966242+0.044465 
## [86] train-mlogloss:0.013278+0.000119    test-mlogloss:0.967266+0.044216 
## [87] train-mlogloss:0.013157+0.000121    test-mlogloss:0.968164+0.044129 
## [88] train-mlogloss:0.013055+0.000119    test-mlogloss:0.969797+0.043898 
## [89] train-mlogloss:0.012955+0.000125    test-mlogloss:0.971045+0.044166 
## [90] train-mlogloss:0.012834+0.000136    test-mlogloss:0.972755+0.044212 
## [91] train-mlogloss:0.012744+0.000134    test-mlogloss:0.973277+0.044612 
## [92] train-mlogloss:0.012642+0.000136    test-mlogloss:0.974191+0.045707 
## [93] train-mlogloss:0.012539+0.000129    test-mlogloss:0.976315+0.045472 
## [94] train-mlogloss:0.012432+0.000129    test-mlogloss:0.977728+0.045891 
## [95] train-mlogloss:0.012334+0.000114    test-mlogloss:0.978116+0.045812 
## [96] train-mlogloss:0.012228+0.000118    test-mlogloss:0.979369+0.046240 
## [97] train-mlogloss:0.012129+0.000112    test-mlogloss:0.979813+0.046832 
## [98] train-mlogloss:0.012040+0.000108    test-mlogloss:0.980111+0.046169 
## [99] train-mlogloss:0.011952+0.000107    test-mlogloss:0.981707+0.046207 
## [100]    train-mlogloss:0.011870+0.000115    test-mlogloss:0.983016+0.046005 
## [101]    train-mlogloss:0.011783+0.000119    test-mlogloss:0.984019+0.047633 
## [102]    train-mlogloss:0.011706+0.000119    test-mlogloss:0.985185+0.048000 
## [103]    train-mlogloss:0.011627+0.000112    test-mlogloss:0.985918+0.047798 
## [104]    train-mlogloss:0.011549+0.000104    test-mlogloss:0.987248+0.048704 
## [105]    train-mlogloss:0.011477+0.000102    test-mlogloss:0.988012+0.047944 
## [106]    train-mlogloss:0.011398+0.000096    test-mlogloss:0.988971+0.047934 
## [107]    train-mlogloss:0.011329+0.000100    test-mlogloss:0.989612+0.048091 
## [108]    train-mlogloss:0.011259+0.000101    test-mlogloss:0.989802+0.048385 
## [109]    train-mlogloss:0.011193+0.000109    test-mlogloss:0.990901+0.048279 
## [110]    train-mlogloss:0.011114+0.000106    test-mlogloss:0.992615+0.048121 
## [111]    train-mlogloss:0.011047+0.000099    test-mlogloss:0.994045+0.048596 
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## [113]    train-mlogloss:0.010914+0.000104    test-mlogloss:0.995916+0.048064 
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## [132]    train-mlogloss:0.009799+0.000097    test-mlogloss:1.013788+0.049368 
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## [472]    train-mlogloss:0.004640+0.000046    test-mlogloss:1.142285+0.057988 
## [473]    train-mlogloss:0.004635+0.000046    test-mlogloss:1.142310+0.057973 
## [474]    train-mlogloss:0.004631+0.000045    test-mlogloss:1.142460+0.058027 
## [475]    train-mlogloss:0.004626+0.000046    test-mlogloss:1.142639+0.058048 
## [476]    train-mlogloss:0.004621+0.000046    test-mlogloss:1.142624+0.057938 
## [477]    train-mlogloss:0.004616+0.000047    test-mlogloss:1.143164+0.058225 
## [478]    train-mlogloss:0.004611+0.000046    test-mlogloss:1.143053+0.058154 
## [479]    train-mlogloss:0.004607+0.000047    test-mlogloss:1.143414+0.057804 
## [480]    train-mlogloss:0.004602+0.000047    test-mlogloss:1.143762+0.057971 
## [481]    train-mlogloss:0.004597+0.000046    test-mlogloss:1.143869+0.058246 
## [482]    train-mlogloss:0.004592+0.000046    test-mlogloss:1.144325+0.058002 
## [483]    train-mlogloss:0.004588+0.000047    test-mlogloss:1.144925+0.058036 
## [484]    train-mlogloss:0.004583+0.000047    test-mlogloss:1.145148+0.058053 
## [485]    train-mlogloss:0.004578+0.000046    test-mlogloss:1.144849+0.058089 
## [486]    train-mlogloss:0.004573+0.000046    test-mlogloss:1.145062+0.057817 
## [487]    train-mlogloss:0.004568+0.000046    test-mlogloss:1.145429+0.057950 
## [488]    train-mlogloss:0.004563+0.000046    test-mlogloss:1.145656+0.057954 
## [489]    train-mlogloss:0.004559+0.000046    test-mlogloss:1.145626+0.058243 
## [490]    train-mlogloss:0.004553+0.000046    test-mlogloss:1.146010+0.057952 
## [491]    train-mlogloss:0.004549+0.000047    test-mlogloss:1.146525+0.058007 
## [492]    train-mlogloss:0.004545+0.000047    test-mlogloss:1.146935+0.058251 
## [493]    train-mlogloss:0.004540+0.000047    test-mlogloss:1.147390+0.058026 
## [494]    train-mlogloss:0.004535+0.000048    test-mlogloss:1.147377+0.058013 
## [495]    train-mlogloss:0.004531+0.000047    test-mlogloss:1.147268+0.057503 
## [496]    train-mlogloss:0.004527+0.000048    test-mlogloss:1.147527+0.057287 
## [497]    train-mlogloss:0.004522+0.000047    test-mlogloss:1.147766+0.057080 
## [498]    train-mlogloss:0.004518+0.000047    test-mlogloss:1.148219+0.057598 
## [499]    train-mlogloss:0.004514+0.000046    test-mlogloss:1.148505+0.057909 
## [500]    train-mlogloss:0.004509+0.000046    test-mlogloss:1.148453+0.057505 
## [1]  train-mlogloss:0.614386+0.001592    test-mlogloss:0.620825+0.001676 
## [2]  train-mlogloss:0.570936+0.002498    test-mlogloss:0.583002+0.003507 
## [3]  train-mlogloss:0.543804+0.003127    test-mlogloss:0.561899+0.004689 
## [4]  train-mlogloss:0.526266+0.003509    test-mlogloss:0.549622+0.005957 
## [5]  train-mlogloss:0.514308+0.003556    test-mlogloss:0.542233+0.006645 
## [6]  train-mlogloss:0.505732+0.003448    test-mlogloss:0.538911+0.007576 
## [7]  train-mlogloss:0.499064+0.003063    test-mlogloss:0.536620+0.008547 
## [8]  train-mlogloss:0.493924+0.003217    test-mlogloss:0.535758+0.009514 
## [9]  train-mlogloss:0.490271+0.003303    test-mlogloss:0.535571+0.010230 
## [10] train-mlogloss:0.486943+0.002945    test-mlogloss:0.535812+0.010386 
## [11] train-mlogloss:0.483417+0.003190    test-mlogloss:0.535476+0.010628 
## [12] train-mlogloss:0.479975+0.002677    test-mlogloss:0.535957+0.010417 
## [13] train-mlogloss:0.476809+0.003501    test-mlogloss:0.536710+0.011034 
## [14] train-mlogloss:0.474093+0.003153    test-mlogloss:0.537105+0.010962 
## [15] train-mlogloss:0.471325+0.003515    test-mlogloss:0.537675+0.011164 
## [16] train-mlogloss:0.468154+0.003418    test-mlogloss:0.538153+0.011218 
## [17] train-mlogloss:0.465749+0.003667    test-mlogloss:0.538900+0.010788 
## [18] train-mlogloss:0.462313+0.003597    test-mlogloss:0.539112+0.010852 
## [19] train-mlogloss:0.459953+0.003629    test-mlogloss:0.539563+0.010132 
## [20] train-mlogloss:0.457589+0.004287    test-mlogloss:0.540319+0.009681 
## [21] train-mlogloss:0.454904+0.003914    test-mlogloss:0.540833+0.009583 
## [22] train-mlogloss:0.452447+0.004161    test-mlogloss:0.541142+0.009958 
## [23] train-mlogloss:0.449967+0.004029    test-mlogloss:0.541513+0.009902 
## [24] train-mlogloss:0.446735+0.004124    test-mlogloss:0.542568+0.010197 
## [25] train-mlogloss:0.443402+0.004000    test-mlogloss:0.543709+0.009515 
## [26] train-mlogloss:0.440408+0.004240    test-mlogloss:0.544566+0.009974 
## [27] train-mlogloss:0.437438+0.004284    test-mlogloss:0.544753+0.010576 
## [28] train-mlogloss:0.434787+0.004523    test-mlogloss:0.545058+0.010412 
## [29] train-mlogloss:0.432018+0.004651    test-mlogloss:0.545754+0.011176 
## [30] train-mlogloss:0.429663+0.004791    test-mlogloss:0.546526+0.011249 
## [31] train-mlogloss:0.426751+0.004879    test-mlogloss:0.547638+0.011843 
## [32] train-mlogloss:0.424307+0.004615    test-mlogloss:0.547903+0.012065 
## [33] train-mlogloss:0.421975+0.004419    test-mlogloss:0.548635+0.011390 
## [34] train-mlogloss:0.419732+0.004444    test-mlogloss:0.549178+0.010964 
## [35] train-mlogloss:0.417534+0.004620    test-mlogloss:0.549820+0.011149 
## [36] train-mlogloss:0.415348+0.004806    test-mlogloss:0.550866+0.011450 
## [37] train-mlogloss:0.413516+0.004620    test-mlogloss:0.551127+0.011784 
## [38] train-mlogloss:0.411620+0.004228    test-mlogloss:0.551475+0.011911 
## [39] train-mlogloss:0.409409+0.004328    test-mlogloss:0.551523+0.012073 
## [40] train-mlogloss:0.406523+0.004517    test-mlogloss:0.552451+0.011799 
## [41] train-mlogloss:0.404773+0.005086    test-mlogloss:0.553179+0.011956 
## [42] train-mlogloss:0.402843+0.005081    test-mlogloss:0.553763+0.012162 
## [43] train-mlogloss:0.401037+0.004861    test-mlogloss:0.554477+0.012043 
## [44] train-mlogloss:0.398336+0.004973    test-mlogloss:0.554958+0.012534 
## [45] train-mlogloss:0.396206+0.004839    test-mlogloss:0.555370+0.012483 
## [46] train-mlogloss:0.394517+0.004924    test-mlogloss:0.555440+0.013137 
## [47] train-mlogloss:0.392234+0.004858    test-mlogloss:0.556357+0.013286 
## [48] train-mlogloss:0.390330+0.005039    test-mlogloss:0.556994+0.013831 
## [49] train-mlogloss:0.388114+0.004935    test-mlogloss:0.557956+0.013979 
## [50] train-mlogloss:0.386472+0.004727    test-mlogloss:0.558669+0.014485 
## [51] train-mlogloss:0.384394+0.005135    test-mlogloss:0.558734+0.014572 
## [52] train-mlogloss:0.382793+0.005511    test-mlogloss:0.558477+0.014268 
## [53] train-mlogloss:0.380792+0.005605    test-mlogloss:0.558805+0.013783 
## [54] train-mlogloss:0.378933+0.005642    test-mlogloss:0.559335+0.013385 
## [55] train-mlogloss:0.376911+0.005660    test-mlogloss:0.559748+0.013238 
## [56] train-mlogloss:0.374929+0.005517    test-mlogloss:0.560459+0.013400 
## [57] train-mlogloss:0.372862+0.005170    test-mlogloss:0.560953+0.013943 
## [58] train-mlogloss:0.371104+0.005034    test-mlogloss:0.561471+0.013703 
## [59] train-mlogloss:0.368934+0.004916    test-mlogloss:0.562475+0.014053 
## [60] train-mlogloss:0.367153+0.004695    test-mlogloss:0.562726+0.014306 
## [61] train-mlogloss:0.365108+0.004275    test-mlogloss:0.563440+0.013834 
## [62] train-mlogloss:0.363596+0.004378    test-mlogloss:0.564490+0.013725 
## [63] train-mlogloss:0.361538+0.004315    test-mlogloss:0.565195+0.014100 
## [64] train-mlogloss:0.359804+0.004406    test-mlogloss:0.565911+0.014383 
## [65] train-mlogloss:0.357943+0.004531    test-mlogloss:0.566551+0.014452 
## [66] train-mlogloss:0.355407+0.004479    test-mlogloss:0.567570+0.014989 
## [67] train-mlogloss:0.353576+0.004348    test-mlogloss:0.568324+0.015091 
## [68] train-mlogloss:0.351837+0.004817    test-mlogloss:0.568519+0.014859 
## [69] train-mlogloss:0.350114+0.004843    test-mlogloss:0.568556+0.015195 
## [70] train-mlogloss:0.348777+0.004774    test-mlogloss:0.568449+0.015623 
## [71] train-mlogloss:0.347203+0.005095    test-mlogloss:0.568898+0.015769 
## [72] train-mlogloss:0.345481+0.005147    test-mlogloss:0.569033+0.015852 
## [73] train-mlogloss:0.343778+0.005256    test-mlogloss:0.569332+0.016287 
## [74] train-mlogloss:0.342215+0.005006    test-mlogloss:0.569481+0.016835 
## [75] train-mlogloss:0.340941+0.004569    test-mlogloss:0.569699+0.016739 
## [76] train-mlogloss:0.339169+0.004378    test-mlogloss:0.570718+0.017316 
## [77] train-mlogloss:0.337440+0.004493    test-mlogloss:0.571467+0.016730 
## [78] train-mlogloss:0.335692+0.004447    test-mlogloss:0.571559+0.016923 
## [79] train-mlogloss:0.333908+0.004737    test-mlogloss:0.572223+0.017658 
## [80] train-mlogloss:0.332268+0.004910    test-mlogloss:0.573010+0.017679 
## [81] train-mlogloss:0.330601+0.005039    test-mlogloss:0.573447+0.017313 
## [82] train-mlogloss:0.329270+0.005018    test-mlogloss:0.573736+0.017553 
## [83] train-mlogloss:0.327687+0.005037    test-mlogloss:0.575066+0.018232 
## [84] train-mlogloss:0.325680+0.004850    test-mlogloss:0.576316+0.018354 
## [85] train-mlogloss:0.324267+0.005195    test-mlogloss:0.576942+0.018926 
## [86] train-mlogloss:0.322516+0.005012    test-mlogloss:0.577217+0.019527 
## [87] train-mlogloss:0.321236+0.004987    test-mlogloss:0.577577+0.019760 
## [88] train-mlogloss:0.319681+0.004785    test-mlogloss:0.577451+0.019098 
## [89] train-mlogloss:0.318339+0.004975    test-mlogloss:0.577728+0.019422 
## [90] train-mlogloss:0.316894+0.004729    test-mlogloss:0.578790+0.019629 
## [91] train-mlogloss:0.315613+0.005012    test-mlogloss:0.578549+0.019098 
## [92] train-mlogloss:0.314006+0.005059    test-mlogloss:0.579198+0.019716 
## [93] train-mlogloss:0.312634+0.005023    test-mlogloss:0.580039+0.020128 
## [94] train-mlogloss:0.311016+0.005041    test-mlogloss:0.581095+0.019882 
## [95] train-mlogloss:0.309729+0.004792    test-mlogloss:0.581843+0.020112 
## [96] train-mlogloss:0.308251+0.004711    test-mlogloss:0.583269+0.020670 
## [97] train-mlogloss:0.306775+0.004732    test-mlogloss:0.583869+0.021094 
## [98] train-mlogloss:0.305380+0.004855    test-mlogloss:0.584244+0.021274 
## [99] train-mlogloss:0.303853+0.004964    test-mlogloss:0.584374+0.020582 
## [100]    train-mlogloss:0.302510+0.004757    test-mlogloss:0.585284+0.019959 
## [101]    train-mlogloss:0.301285+0.004744    test-mlogloss:0.585740+0.020249 
## [102]    train-mlogloss:0.299905+0.004548    test-mlogloss:0.586232+0.019953 
## [103]    train-mlogloss:0.298601+0.004202    test-mlogloss:0.586841+0.019253 
## [104]    train-mlogloss:0.296997+0.004459    test-mlogloss:0.587379+0.019115 
## [105]    train-mlogloss:0.295588+0.004558    test-mlogloss:0.587577+0.018894 
## [106]    train-mlogloss:0.294108+0.004449    test-mlogloss:0.588578+0.018946 
## [107]    train-mlogloss:0.292875+0.004821    test-mlogloss:0.589469+0.019606 
## [108]    train-mlogloss:0.291348+0.005035    test-mlogloss:0.589970+0.020354 
## [109]    train-mlogloss:0.290021+0.004913    test-mlogloss:0.590712+0.020389 
## [110]    train-mlogloss:0.288813+0.004935    test-mlogloss:0.591410+0.020314 
## [111]    train-mlogloss:0.287545+0.004667    test-mlogloss:0.592078+0.020243 
## [112]    train-mlogloss:0.286206+0.004516    test-mlogloss:0.592651+0.020666 
## [113]    train-mlogloss:0.284851+0.004555    test-mlogloss:0.593008+0.020593 
## [114]    train-mlogloss:0.283256+0.004474    test-mlogloss:0.593791+0.020448 
## [115]    train-mlogloss:0.281826+0.004261    test-mlogloss:0.593844+0.020751 
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## [118]    train-mlogloss:0.278413+0.004212    test-mlogloss:0.595312+0.019742 
## [119]    train-mlogloss:0.277250+0.004174    test-mlogloss:0.595932+0.019528 
## [120]    train-mlogloss:0.276191+0.004353    test-mlogloss:0.596739+0.019512 
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## [129]    train-mlogloss:0.265101+0.003948    test-mlogloss:0.602198+0.020566 
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## [387]    train-mlogloss:0.096244+0.002250    test-mlogloss:0.736959+0.029565 
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## [389]    train-mlogloss:0.095605+0.002245    test-mlogloss:0.738325+0.029560 
## [390]    train-mlogloss:0.095332+0.002248    test-mlogloss:0.738270+0.029259 
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## [392]    train-mlogloss:0.094700+0.002204    test-mlogloss:0.739146+0.029074 
## [393]    train-mlogloss:0.094401+0.002246    test-mlogloss:0.739122+0.029208 
## [394]    train-mlogloss:0.094127+0.002246    test-mlogloss:0.739704+0.028971 
## [395]    train-mlogloss:0.093832+0.002243    test-mlogloss:0.739675+0.029187 
## [396]    train-mlogloss:0.093492+0.002215    test-mlogloss:0.739851+0.028614 
## [397]    train-mlogloss:0.093059+0.002230    test-mlogloss:0.739952+0.028831 
## [398]    train-mlogloss:0.092724+0.002221    test-mlogloss:0.739790+0.028781 
## [399]    train-mlogloss:0.092434+0.002213    test-mlogloss:0.740152+0.029066 
## [400]    train-mlogloss:0.092068+0.002228    test-mlogloss:0.741038+0.029566 
## [401]    train-mlogloss:0.091715+0.002171    test-mlogloss:0.741733+0.029330 
## [402]    train-mlogloss:0.091451+0.002198    test-mlogloss:0.741956+0.029977 
## [403]    train-mlogloss:0.091164+0.002153    test-mlogloss:0.742627+0.029306 
## [404]    train-mlogloss:0.090827+0.002185    test-mlogloss:0.742878+0.029720 
## [405]    train-mlogloss:0.090492+0.002134    test-mlogloss:0.743219+0.029995 
## [406]    train-mlogloss:0.090220+0.002111    test-mlogloss:0.744039+0.030011 
## [407]    train-mlogloss:0.089919+0.002061    test-mlogloss:0.744356+0.030290 
## [408]    train-mlogloss:0.089665+0.002056    test-mlogloss:0.744240+0.029914 
## [409]    train-mlogloss:0.089385+0.001972    test-mlogloss:0.744524+0.030055 
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## [411]    train-mlogloss:0.088854+0.001918    test-mlogloss:0.745616+0.029739 
## [412]    train-mlogloss:0.088565+0.001890    test-mlogloss:0.746126+0.030063 
## [413]    train-mlogloss:0.088243+0.001862    test-mlogloss:0.746820+0.029820 
## [414]    train-mlogloss:0.087951+0.001847    test-mlogloss:0.747174+0.030055 
## [415]    train-mlogloss:0.087617+0.001857    test-mlogloss:0.748033+0.030073 
## [416]    train-mlogloss:0.087310+0.001868    test-mlogloss:0.748500+0.029923 
## [417]    train-mlogloss:0.087027+0.001827    test-mlogloss:0.748873+0.029721 
## [418]    train-mlogloss:0.086774+0.001816    test-mlogloss:0.749665+0.029752 
## [419]    train-mlogloss:0.086482+0.001821    test-mlogloss:0.750279+0.030008 
## [420]    train-mlogloss:0.086221+0.001859    test-mlogloss:0.750213+0.030052 
## [421]    train-mlogloss:0.085984+0.001908    test-mlogloss:0.750920+0.029918 
## [422]    train-mlogloss:0.085709+0.001892    test-mlogloss:0.751153+0.030041 
## [423]    train-mlogloss:0.085474+0.001912    test-mlogloss:0.752185+0.030346 
## [424]    train-mlogloss:0.085240+0.001963    test-mlogloss:0.752350+0.030325 
## [425]    train-mlogloss:0.085018+0.001987    test-mlogloss:0.752506+0.030455 
## [426]    train-mlogloss:0.084758+0.001900    test-mlogloss:0.752652+0.030477 
## [427]    train-mlogloss:0.084478+0.001864    test-mlogloss:0.753237+0.030666 
## [428]    train-mlogloss:0.084245+0.001852    test-mlogloss:0.753783+0.030432 
## [429]    train-mlogloss:0.084026+0.001824    test-mlogloss:0.754225+0.030874 
## [430]    train-mlogloss:0.083803+0.001850    test-mlogloss:0.754645+0.030883 
## [431]    train-mlogloss:0.083569+0.001853    test-mlogloss:0.755027+0.030978 
## [432]    train-mlogloss:0.083277+0.001906    test-mlogloss:0.755509+0.031245 
## [433]    train-mlogloss:0.082998+0.001847    test-mlogloss:0.755716+0.031281 
## [434]    train-mlogloss:0.082723+0.001762    test-mlogloss:0.756110+0.031046 
## [435]    train-mlogloss:0.082480+0.001806    test-mlogloss:0.756917+0.031309 
## [436]    train-mlogloss:0.082199+0.001788    test-mlogloss:0.757530+0.030915 
## [437]    train-mlogloss:0.082012+0.001794    test-mlogloss:0.757835+0.030724 
## [438]    train-mlogloss:0.081802+0.001787    test-mlogloss:0.757741+0.030513 
## [439]    train-mlogloss:0.081526+0.001836    test-mlogloss:0.757935+0.030069 
## [440]    train-mlogloss:0.081246+0.001843    test-mlogloss:0.758542+0.030215 
## [441]    train-mlogloss:0.080956+0.001845    test-mlogloss:0.758937+0.030481 
## [442]    train-mlogloss:0.080703+0.001854    test-mlogloss:0.759501+0.030287 
## [443]    train-mlogloss:0.080430+0.001882    test-mlogloss:0.759983+0.029767 
## [444]    train-mlogloss:0.080173+0.001821    test-mlogloss:0.760060+0.029805 
## [445]    train-mlogloss:0.079979+0.001797    test-mlogloss:0.760520+0.029860 
## [446]    train-mlogloss:0.079723+0.001775    test-mlogloss:0.761182+0.030028 
## [447]    train-mlogloss:0.079461+0.001735    test-mlogloss:0.761539+0.030231 
## [448]    train-mlogloss:0.079257+0.001704    test-mlogloss:0.761635+0.030034 
## [449]    train-mlogloss:0.078983+0.001667    test-mlogloss:0.761919+0.030674 
## [450]    train-mlogloss:0.078741+0.001696    test-mlogloss:0.762111+0.030691 
## [451]    train-mlogloss:0.078485+0.001670    test-mlogloss:0.762408+0.030317 
## [452]    train-mlogloss:0.078248+0.001665    test-mlogloss:0.762894+0.030468 
## [453]    train-mlogloss:0.078043+0.001737    test-mlogloss:0.763393+0.030528 
## [454]    train-mlogloss:0.077788+0.001752    test-mlogloss:0.763967+0.030250 
## [455]    train-mlogloss:0.077575+0.001780    test-mlogloss:0.764324+0.029853 
## [456]    train-mlogloss:0.077310+0.001788    test-mlogloss:0.764930+0.029897 
## [457]    train-mlogloss:0.077064+0.001802    test-mlogloss:0.765170+0.030138 
## [458]    train-mlogloss:0.076849+0.001857    test-mlogloss:0.765522+0.029909 
## [459]    train-mlogloss:0.076538+0.001829    test-mlogloss:0.765471+0.029937 
## [460]    train-mlogloss:0.076264+0.001789    test-mlogloss:0.766154+0.030039 
## [461]    train-mlogloss:0.076025+0.001770    test-mlogloss:0.766515+0.030131 
## [462]    train-mlogloss:0.075824+0.001782    test-mlogloss:0.767113+0.029865 
## [463]    train-mlogloss:0.075587+0.001784    test-mlogloss:0.767978+0.030291 
## [464]    train-mlogloss:0.075371+0.001798    test-mlogloss:0.768740+0.030462 
## [465]    train-mlogloss:0.075183+0.001820    test-mlogloss:0.768702+0.030526 
## [466]    train-mlogloss:0.074903+0.001745    test-mlogloss:0.769438+0.030497 
## [467]    train-mlogloss:0.074678+0.001779    test-mlogloss:0.769596+0.030784 
## [468]    train-mlogloss:0.074465+0.001808    test-mlogloss:0.770131+0.030718 
## [469]    train-mlogloss:0.074219+0.001760    test-mlogloss:0.770824+0.031031 
## [470]    train-mlogloss:0.073946+0.001717    test-mlogloss:0.771468+0.031057 
## [471]    train-mlogloss:0.073688+0.001732    test-mlogloss:0.772067+0.030880 
## [472]    train-mlogloss:0.073489+0.001720    test-mlogloss:0.772398+0.030945 
## [473]    train-mlogloss:0.073341+0.001770    test-mlogloss:0.772790+0.031045 
## [474]    train-mlogloss:0.073080+0.001763    test-mlogloss:0.773443+0.031029 
## [475]    train-mlogloss:0.072820+0.001761    test-mlogloss:0.773518+0.031714 
## [476]    train-mlogloss:0.072673+0.001744    test-mlogloss:0.773995+0.031683 
## [477]    train-mlogloss:0.072484+0.001726    test-mlogloss:0.774366+0.031313 
## [478]    train-mlogloss:0.072259+0.001723    test-mlogloss:0.774372+0.031767 
## [479]    train-mlogloss:0.072011+0.001746    test-mlogloss:0.774597+0.031897 
## [480]    train-mlogloss:0.071807+0.001712    test-mlogloss:0.775143+0.032414 
## [481]    train-mlogloss:0.071577+0.001758    test-mlogloss:0.775715+0.032340 
## [482]    train-mlogloss:0.071413+0.001774    test-mlogloss:0.776352+0.032200 
## [483]    train-mlogloss:0.071210+0.001804    test-mlogloss:0.776413+0.032303 
## [484]    train-mlogloss:0.070964+0.001790    test-mlogloss:0.776558+0.032645 
## [485]    train-mlogloss:0.070785+0.001793    test-mlogloss:0.776856+0.032601 
## [486]    train-mlogloss:0.070574+0.001754    test-mlogloss:0.777425+0.032854 
## [487]    train-mlogloss:0.070308+0.001753    test-mlogloss:0.777901+0.033032 
## [488]    train-mlogloss:0.070139+0.001775    test-mlogloss:0.778530+0.033261 
## [489]    train-mlogloss:0.069976+0.001790    test-mlogloss:0.778959+0.033180 
## [490]    train-mlogloss:0.069725+0.001803    test-mlogloss:0.779073+0.033413 
## [491]    train-mlogloss:0.069568+0.001823    test-mlogloss:0.779383+0.033355 
## [492]    train-mlogloss:0.069348+0.001827    test-mlogloss:0.779738+0.033386 
## [493]    train-mlogloss:0.069196+0.001856    test-mlogloss:0.780316+0.033228 
## [494]    train-mlogloss:0.068965+0.001821    test-mlogloss:0.780391+0.032950 
## [495]    train-mlogloss:0.068749+0.001785    test-mlogloss:0.781170+0.032559 
## [496]    train-mlogloss:0.068604+0.001780    test-mlogloss:0.781521+0.032484 
## [497]    train-mlogloss:0.068422+0.001771    test-mlogloss:0.781495+0.032565 
## [498]    train-mlogloss:0.068230+0.001723    test-mlogloss:0.782211+0.032136 
## [499]    train-mlogloss:0.068080+0.001714    test-mlogloss:0.782788+0.031933 
## [500]    train-mlogloss:0.067891+0.001692    test-mlogloss:0.783007+0.032324 
## [1]  train-mlogloss:0.590263+0.001405    test-mlogloss:0.626919+0.001832 
## [2]  train-mlogloss:0.524900+0.001838    test-mlogloss:0.592462+0.002408 
## [3]  train-mlogloss:0.476493+0.002154    test-mlogloss:0.574566+0.002973 
## [4]  train-mlogloss:0.439326+0.002643    test-mlogloss:0.565013+0.004394 
## [5]  train-mlogloss:0.408916+0.002855    test-mlogloss:0.560930+0.005269 
## [6]  train-mlogloss:0.383107+0.002686    test-mlogloss:0.558969+0.005479 
## [7]  train-mlogloss:0.361779+0.002632    test-mlogloss:0.560219+0.005466 
## [8]  train-mlogloss:0.343055+0.001926    test-mlogloss:0.562398+0.006517 
## [9]  train-mlogloss:0.326344+0.002636    test-mlogloss:0.565311+0.007007 
## [10] train-mlogloss:0.312095+0.002457    test-mlogloss:0.567518+0.006571 
## [11] train-mlogloss:0.297841+0.002512    test-mlogloss:0.569820+0.005756 
## [12] train-mlogloss:0.284969+0.002477    test-mlogloss:0.573676+0.004373 
## [13] train-mlogloss:0.273196+0.001506    test-mlogloss:0.577280+0.004474 
## [14] train-mlogloss:0.263132+0.002304    test-mlogloss:0.579096+0.004806 
## [15] train-mlogloss:0.254222+0.002630    test-mlogloss:0.581834+0.004660 
## [16] train-mlogloss:0.245497+0.002201    test-mlogloss:0.584259+0.005252 
## [17] train-mlogloss:0.237111+0.001558    test-mlogloss:0.587471+0.006018 
## [18] train-mlogloss:0.228609+0.001145    test-mlogloss:0.590813+0.006470 
## [19] train-mlogloss:0.221610+0.001771    test-mlogloss:0.593029+0.006816 
## [20] train-mlogloss:0.214065+0.001840    test-mlogloss:0.596065+0.006769 
## [21] train-mlogloss:0.207206+0.001811    test-mlogloss:0.598813+0.006818 
## [22] train-mlogloss:0.200638+0.001712    test-mlogloss:0.602145+0.007478 
## [23] train-mlogloss:0.194464+0.001631    test-mlogloss:0.605187+0.008088 
## [24] train-mlogloss:0.188312+0.001791    test-mlogloss:0.607556+0.008275 
## [25] train-mlogloss:0.182936+0.001578    test-mlogloss:0.610395+0.009033 
## [26] train-mlogloss:0.177626+0.001826    test-mlogloss:0.613452+0.009425 
## [27] train-mlogloss:0.172509+0.001858    test-mlogloss:0.615160+0.008801 
## [28] train-mlogloss:0.167273+0.001647    test-mlogloss:0.617292+0.009499 
## [29] train-mlogloss:0.162339+0.001441    test-mlogloss:0.619867+0.008895 
## [30] train-mlogloss:0.157649+0.001348    test-mlogloss:0.622421+0.009628 
## [31] train-mlogloss:0.153663+0.001778    test-mlogloss:0.624152+0.010107 
## [32] train-mlogloss:0.149330+0.001611    test-mlogloss:0.627182+0.010219 
## [33] train-mlogloss:0.145489+0.001556    test-mlogloss:0.628703+0.010312 
## [34] train-mlogloss:0.141825+0.001228    test-mlogloss:0.630648+0.010213 
## [35] train-mlogloss:0.138258+0.001281    test-mlogloss:0.632872+0.009733 
## [36] train-mlogloss:0.134865+0.001132    test-mlogloss:0.635224+0.010149 
## [37] train-mlogloss:0.131599+0.001030    test-mlogloss:0.636863+0.010113 
## [38] train-mlogloss:0.128709+0.000938    test-mlogloss:0.638995+0.010186 
## [39] train-mlogloss:0.125789+0.000706    test-mlogloss:0.641266+0.010605 
## [40] train-mlogloss:0.123015+0.000595    test-mlogloss:0.643153+0.010845 
## [41] train-mlogloss:0.120391+0.000616    test-mlogloss:0.645996+0.011304 
## [42] train-mlogloss:0.117899+0.000399    test-mlogloss:0.647754+0.011969 
## [43] train-mlogloss:0.115293+0.000351    test-mlogloss:0.650333+0.011595 
## [44] train-mlogloss:0.112923+0.000477    test-mlogloss:0.652584+0.011752 
## [45] train-mlogloss:0.110660+0.000544    test-mlogloss:0.654947+0.012313 
## [46] train-mlogloss:0.108415+0.000593    test-mlogloss:0.657037+0.012904 
## [47] train-mlogloss:0.106217+0.000625    test-mlogloss:0.659057+0.013307 
## [48] train-mlogloss:0.104307+0.000780    test-mlogloss:0.661620+0.014161 
## [49] train-mlogloss:0.102239+0.000801    test-mlogloss:0.663305+0.013361 
## [50] train-mlogloss:0.100323+0.000820    test-mlogloss:0.664254+0.013814 
## [51] train-mlogloss:0.098398+0.000703    test-mlogloss:0.665723+0.013710 
## [52] train-mlogloss:0.096650+0.000664    test-mlogloss:0.668732+0.013403 
## [53] train-mlogloss:0.094911+0.000647    test-mlogloss:0.670864+0.012643 
## [54] train-mlogloss:0.093321+0.000529    test-mlogloss:0.673373+0.012156 
## [55] train-mlogloss:0.091656+0.000480    test-mlogloss:0.675348+0.011626 
## [56] train-mlogloss:0.090090+0.000446    test-mlogloss:0.676779+0.011036 
## [57] train-mlogloss:0.088526+0.000383    test-mlogloss:0.679155+0.011412 
## [58] train-mlogloss:0.087054+0.000373    test-mlogloss:0.681407+0.011558 
## [59] train-mlogloss:0.085802+0.000308    test-mlogloss:0.683428+0.011574 
## [60] train-mlogloss:0.084534+0.000343    test-mlogloss:0.685346+0.012604 
## [61] train-mlogloss:0.083185+0.000340    test-mlogloss:0.687597+0.012745 
## [62] train-mlogloss:0.081865+0.000367    test-mlogloss:0.688652+0.013073 
## [63] train-mlogloss:0.080707+0.000412    test-mlogloss:0.689927+0.013072 
## [64] train-mlogloss:0.079469+0.000420    test-mlogloss:0.691025+0.012438 
## [65] train-mlogloss:0.078333+0.000400    test-mlogloss:0.692188+0.012060 
## [66] train-mlogloss:0.077187+0.000366    test-mlogloss:0.693820+0.012057 
## [67] train-mlogloss:0.076069+0.000393    test-mlogloss:0.695523+0.012422 
## [68] train-mlogloss:0.075016+0.000410    test-mlogloss:0.698003+0.012546 
## [69] train-mlogloss:0.073956+0.000394    test-mlogloss:0.699321+0.012239 
## [70] train-mlogloss:0.072947+0.000380    test-mlogloss:0.700664+0.012096 
## [71] train-mlogloss:0.071953+0.000342    test-mlogloss:0.702029+0.012023 
## [72] train-mlogloss:0.070992+0.000333    test-mlogloss:0.703783+0.013046 
## [73] train-mlogloss:0.070060+0.000330    test-mlogloss:0.705107+0.013327 
## [74] train-mlogloss:0.069191+0.000321    test-mlogloss:0.707411+0.013139 
## [75] train-mlogloss:0.068311+0.000300    test-mlogloss:0.708751+0.013245 
## [76] train-mlogloss:0.067441+0.000291    test-mlogloss:0.710520+0.012698 
## [77] train-mlogloss:0.066634+0.000285    test-mlogloss:0.711702+0.012415 
## [78] train-mlogloss:0.065821+0.000331    test-mlogloss:0.713564+0.011693 
## [79] train-mlogloss:0.065020+0.000337    test-mlogloss:0.714559+0.011853 
## [80] train-mlogloss:0.064239+0.000315    test-mlogloss:0.716308+0.011874 
## [81] train-mlogloss:0.063511+0.000330    test-mlogloss:0.717783+0.011107 
## [82] train-mlogloss:0.062802+0.000295    test-mlogloss:0.719374+0.011008 
## [83] train-mlogloss:0.062085+0.000298    test-mlogloss:0.720994+0.011993 
## [84] train-mlogloss:0.061405+0.000335    test-mlogloss:0.722098+0.012027 
## [85] train-mlogloss:0.060697+0.000369    test-mlogloss:0.723629+0.011552 
## [86] train-mlogloss:0.060015+0.000374    test-mlogloss:0.724868+0.011204 
## [87] train-mlogloss:0.059375+0.000378    test-mlogloss:0.725386+0.010412 
## [88] train-mlogloss:0.058748+0.000374    test-mlogloss:0.726818+0.010221 
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## [92] train-mlogloss:0.056406+0.000372    test-mlogloss:0.731502+0.009212 
## [93] train-mlogloss:0.055841+0.000345    test-mlogloss:0.732647+0.009325 
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## [498]    train-mlogloss:0.014504+0.000097    test-mlogloss:0.917126+0.008584 
## [499]    train-mlogloss:0.014484+0.000095    test-mlogloss:0.917714+0.008597 
## [500]    train-mlogloss:0.014464+0.000094    test-mlogloss:0.917869+0.008808 
## [1]  train-mlogloss:0.537719+0.002822    test-mlogloss:0.555377+0.008447 
## [2]  train-mlogloss:0.509800+0.003238    test-mlogloss:0.540406+0.011954 
## [3]  train-mlogloss:0.497210+0.003183    test-mlogloss:0.540571+0.013817 
## [4]  train-mlogloss:0.489336+0.003943    test-mlogloss:0.544178+0.013527 
## [5]  train-mlogloss:0.483475+0.003748    test-mlogloss:0.547097+0.013221 
## [6]  train-mlogloss:0.475521+0.004224    test-mlogloss:0.551977+0.012507 
## [7]  train-mlogloss:0.467827+0.005015    test-mlogloss:0.555142+0.015220 
## [8]  train-mlogloss:0.462376+0.005195    test-mlogloss:0.556736+0.013465 
## [9]  train-mlogloss:0.455280+0.004326    test-mlogloss:0.561073+0.012058 
## [10] train-mlogloss:0.447742+0.007021    test-mlogloss:0.566484+0.017427 
## [11] train-mlogloss:0.442888+0.006802    test-mlogloss:0.569665+0.016665 
## [12] train-mlogloss:0.438473+0.006373    test-mlogloss:0.571846+0.016713 
## [13] train-mlogloss:0.431851+0.006028    test-mlogloss:0.575272+0.017428 
## [14] train-mlogloss:0.425770+0.006493    test-mlogloss:0.578080+0.018213 
## [15] train-mlogloss:0.420479+0.007120    test-mlogloss:0.581235+0.017740 
## [16] train-mlogloss:0.416540+0.006885    test-mlogloss:0.584172+0.018362 
## [17] train-mlogloss:0.410689+0.007446    test-mlogloss:0.586150+0.019427 
## [18] train-mlogloss:0.406128+0.006697    test-mlogloss:0.588224+0.021030 
## [19] train-mlogloss:0.401968+0.006735    test-mlogloss:0.590301+0.018821 
## [20] train-mlogloss:0.397278+0.006212    test-mlogloss:0.591770+0.019284 
## [21] train-mlogloss:0.392436+0.006481    test-mlogloss:0.594848+0.021843 
## [22] train-mlogloss:0.388265+0.007367    test-mlogloss:0.599223+0.023039 
## [23] train-mlogloss:0.382330+0.006910    test-mlogloss:0.602733+0.025148 
## [24] train-mlogloss:0.377521+0.006636    test-mlogloss:0.604222+0.025751 
## [25] train-mlogloss:0.371805+0.006550    test-mlogloss:0.609148+0.027320 
## [26] train-mlogloss:0.367474+0.006103    test-mlogloss:0.613395+0.026413 
## [27] train-mlogloss:0.363467+0.006192    test-mlogloss:0.616456+0.026595 
## [28] train-mlogloss:0.358871+0.007001    test-mlogloss:0.618264+0.026786 
## [29] train-mlogloss:0.354844+0.006857    test-mlogloss:0.620979+0.027429 
## [30] train-mlogloss:0.350492+0.007058    test-mlogloss:0.625277+0.029197 
## [31] train-mlogloss:0.345563+0.006487    test-mlogloss:0.628140+0.029598 
## [32] train-mlogloss:0.341115+0.006285    test-mlogloss:0.631336+0.029874 
## [33] train-mlogloss:0.337588+0.006625    test-mlogloss:0.634438+0.029922 
## [34] train-mlogloss:0.333628+0.006360    test-mlogloss:0.635422+0.029704 
## [35] train-mlogloss:0.330132+0.006175    test-mlogloss:0.638652+0.029886 
## [36] train-mlogloss:0.325787+0.006025    test-mlogloss:0.643167+0.032040 
## [37] train-mlogloss:0.321947+0.005793    test-mlogloss:0.646044+0.033455 
## [38] train-mlogloss:0.317384+0.005946    test-mlogloss:0.648553+0.034834 
## [39] train-mlogloss:0.312999+0.005650    test-mlogloss:0.651817+0.034990 
## [40] train-mlogloss:0.309569+0.005384    test-mlogloss:0.654063+0.035713 
## [41] train-mlogloss:0.305898+0.005520    test-mlogloss:0.655706+0.035475 
## [42] train-mlogloss:0.302774+0.005244    test-mlogloss:0.659715+0.035311 
## [43] train-mlogloss:0.299298+0.004849    test-mlogloss:0.662910+0.035664 
## [44] train-mlogloss:0.295502+0.005185    test-mlogloss:0.666957+0.037860 
## [45] train-mlogloss:0.292163+0.005442    test-mlogloss:0.669582+0.038521 
## [46] train-mlogloss:0.288772+0.005517    test-mlogloss:0.672508+0.038581 
## [47] train-mlogloss:0.285619+0.005386    test-mlogloss:0.674862+0.038538 
## [48] train-mlogloss:0.282224+0.005867    test-mlogloss:0.676828+0.039410 
## [49] train-mlogloss:0.279463+0.005796    test-mlogloss:0.678372+0.039407 
## [50] train-mlogloss:0.275927+0.006438    test-mlogloss:0.680315+0.037897 
## [51] train-mlogloss:0.272301+0.006689    test-mlogloss:0.683607+0.037291 
## [52] train-mlogloss:0.268610+0.006426    test-mlogloss:0.685835+0.037873 
## [53] train-mlogloss:0.265038+0.006076    test-mlogloss:0.688515+0.038535 
## [54] train-mlogloss:0.261797+0.005868    test-mlogloss:0.689631+0.036468 
## [55] train-mlogloss:0.259028+0.005813    test-mlogloss:0.692075+0.034933 
## [56] train-mlogloss:0.255572+0.005453    test-mlogloss:0.695454+0.034092 
## [57] train-mlogloss:0.252018+0.005170    test-mlogloss:0.698118+0.035228 
## [58] train-mlogloss:0.249620+0.004885    test-mlogloss:0.699881+0.034334 
## [59] train-mlogloss:0.246779+0.004913    test-mlogloss:0.700734+0.034370 
## [60] train-mlogloss:0.243887+0.004721    test-mlogloss:0.702950+0.033864 
## [61] train-mlogloss:0.241629+0.004754    test-mlogloss:0.704154+0.033740 
## [62] train-mlogloss:0.238819+0.004875    test-mlogloss:0.705912+0.035209 
## [63] train-mlogloss:0.235839+0.004765    test-mlogloss:0.707037+0.036210 
## [64] train-mlogloss:0.232549+0.005175    test-mlogloss:0.709945+0.036713 
## [65] train-mlogloss:0.229754+0.005482    test-mlogloss:0.711641+0.038657 
## [66] train-mlogloss:0.227011+0.005539    test-mlogloss:0.714090+0.037953 
## [67] train-mlogloss:0.224132+0.005824    test-mlogloss:0.716200+0.038205 
## [68] train-mlogloss:0.221489+0.005516    test-mlogloss:0.719508+0.036995 
## [69] train-mlogloss:0.219280+0.005630    test-mlogloss:0.723166+0.035670 
## [70] train-mlogloss:0.217059+0.005627    test-mlogloss:0.723921+0.035993 
## [71] train-mlogloss:0.214483+0.005760    test-mlogloss:0.727237+0.035794 
## [72] train-mlogloss:0.212071+0.006037    test-mlogloss:0.730376+0.036400 
## [73] train-mlogloss:0.209426+0.005982    test-mlogloss:0.731970+0.036836 
## [74] train-mlogloss:0.207143+0.005519    test-mlogloss:0.732700+0.037072 
## [75] train-mlogloss:0.204596+0.005632    test-mlogloss:0.734785+0.037923 
## [76] train-mlogloss:0.202656+0.005461    test-mlogloss:0.736675+0.038851 
## [77] train-mlogloss:0.199134+0.005438    test-mlogloss:0.739487+0.038744 
## [78] train-mlogloss:0.197189+0.005144    test-mlogloss:0.741428+0.039737 
## [79] train-mlogloss:0.194746+0.005185    test-mlogloss:0.744435+0.040154 
## [80] train-mlogloss:0.192445+0.005059    test-mlogloss:0.746977+0.041484 
## [81] train-mlogloss:0.190270+0.005118    test-mlogloss:0.748468+0.039269 
## [82] train-mlogloss:0.188537+0.004981    test-mlogloss:0.751542+0.040606 
## [83] train-mlogloss:0.186148+0.005072    test-mlogloss:0.756576+0.041368 
## [84] train-mlogloss:0.184188+0.005391    test-mlogloss:0.758654+0.041178 
## [85] train-mlogloss:0.182279+0.005615    test-mlogloss:0.760742+0.040224 
## [86] train-mlogloss:0.179804+0.005502    test-mlogloss:0.762642+0.042145 
## [87] train-mlogloss:0.178346+0.005492    test-mlogloss:0.765245+0.042643 
## [88] train-mlogloss:0.176331+0.005018    test-mlogloss:0.767232+0.042108 
## [89] train-mlogloss:0.174823+0.005027    test-mlogloss:0.767733+0.041818 
## [90] train-mlogloss:0.173486+0.005307    test-mlogloss:0.769225+0.043090 
## [91] train-mlogloss:0.171600+0.005308    test-mlogloss:0.770009+0.042250 
## [92] train-mlogloss:0.169302+0.005591    test-mlogloss:0.771532+0.042991 
## [93] train-mlogloss:0.167154+0.005628    test-mlogloss:0.772799+0.042892 
## [94] train-mlogloss:0.165125+0.005769    test-mlogloss:0.774841+0.040504 
## [95] train-mlogloss:0.163522+0.005746    test-mlogloss:0.776080+0.040700 
## [96] train-mlogloss:0.161571+0.005839    test-mlogloss:0.778537+0.040212 
## [97] train-mlogloss:0.160005+0.005836    test-mlogloss:0.779630+0.039591 
## [98] train-mlogloss:0.158016+0.005962    test-mlogloss:0.781410+0.039842 
## [99] train-mlogloss:0.156143+0.005743    test-mlogloss:0.782009+0.039954 
## [100]    train-mlogloss:0.154845+0.005654    test-mlogloss:0.783353+0.039978 
## [101]    train-mlogloss:0.153107+0.005812    test-mlogloss:0.786274+0.040142 
## [102]    train-mlogloss:0.151528+0.005563    test-mlogloss:0.787030+0.040098 
## [103]    train-mlogloss:0.149658+0.005532    test-mlogloss:0.791572+0.039210 
## [104]    train-mlogloss:0.147866+0.005399    test-mlogloss:0.792787+0.039340 
## [105]    train-mlogloss:0.146461+0.005189    test-mlogloss:0.793680+0.039597 
## [106]    train-mlogloss:0.144963+0.005263    test-mlogloss:0.795173+0.041956 
## [107]    train-mlogloss:0.143466+0.005177    test-mlogloss:0.796815+0.040431 
## [108]    train-mlogloss:0.141979+0.005056    test-mlogloss:0.797957+0.041972 
## [109]    train-mlogloss:0.140557+0.004615    test-mlogloss:0.798912+0.042210 
## [110]    train-mlogloss:0.139097+0.004786    test-mlogloss:0.800274+0.041735 
## [111]    train-mlogloss:0.137632+0.004874    test-mlogloss:0.802190+0.042510 
## [112]    train-mlogloss:0.136149+0.004595    test-mlogloss:0.805388+0.041823 
## [113]    train-mlogloss:0.134737+0.004407    test-mlogloss:0.807295+0.044043 
## [114]    train-mlogloss:0.133614+0.004318    test-mlogloss:0.809181+0.046414 
## [115]    train-mlogloss:0.132151+0.004273    test-mlogloss:0.809696+0.045656 
## [116]    train-mlogloss:0.130769+0.004167    test-mlogloss:0.812169+0.047742 
## [117]    train-mlogloss:0.129512+0.004136    test-mlogloss:0.814824+0.047636 
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## [119]    train-mlogloss:0.126943+0.004073    test-mlogloss:0.817826+0.048044 
## [120]    train-mlogloss:0.125341+0.004051    test-mlogloss:0.818659+0.048856 
## [121]    train-mlogloss:0.123958+0.003946    test-mlogloss:0.819844+0.051110 
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## [126]    train-mlogloss:0.117244+0.003902    test-mlogloss:0.829852+0.049992 
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## [128]    train-mlogloss:0.114888+0.003978    test-mlogloss:0.830786+0.051498 
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## [407]    train-mlogloss:0.021043+0.000536    test-mlogloss:1.105950+0.071642 
## [408]    train-mlogloss:0.020968+0.000529    test-mlogloss:1.107036+0.071823 
## [409]    train-mlogloss:0.020905+0.000514    test-mlogloss:1.107120+0.070907 
## [410]    train-mlogloss:0.020829+0.000508    test-mlogloss:1.108449+0.070496 
## [411]    train-mlogloss:0.020743+0.000503    test-mlogloss:1.108838+0.070351 
## [412]    train-mlogloss:0.020662+0.000510    test-mlogloss:1.108618+0.070288 
## [413]    train-mlogloss:0.020589+0.000508    test-mlogloss:1.108841+0.069810 
## [414]    train-mlogloss:0.020517+0.000504    test-mlogloss:1.109958+0.071125 
## [415]    train-mlogloss:0.020460+0.000506    test-mlogloss:1.111803+0.071453 
## [416]    train-mlogloss:0.020380+0.000505    test-mlogloss:1.112715+0.071883 
## [417]    train-mlogloss:0.020298+0.000496    test-mlogloss:1.113838+0.072631 
## [418]    train-mlogloss:0.020221+0.000493    test-mlogloss:1.113996+0.072674 
## [419]    train-mlogloss:0.020170+0.000503    test-mlogloss:1.114209+0.072466 
## [420]    train-mlogloss:0.020110+0.000503    test-mlogloss:1.114474+0.072403 
## [421]    train-mlogloss:0.020055+0.000486    test-mlogloss:1.114310+0.072314 
## [422]    train-mlogloss:0.019993+0.000491    test-mlogloss:1.115113+0.073127 
## [423]    train-mlogloss:0.019925+0.000497    test-mlogloss:1.115508+0.072841 
## [424]    train-mlogloss:0.019861+0.000489    test-mlogloss:1.116499+0.073745 
## [425]    train-mlogloss:0.019804+0.000480    test-mlogloss:1.117322+0.073465 
## [426]    train-mlogloss:0.019753+0.000478    test-mlogloss:1.116360+0.073466 
## [427]    train-mlogloss:0.019677+0.000495    test-mlogloss:1.116620+0.074366 
## [428]    train-mlogloss:0.019622+0.000510    test-mlogloss:1.118001+0.074317 
## [429]    train-mlogloss:0.019569+0.000495    test-mlogloss:1.118425+0.074496 
## [430]    train-mlogloss:0.019501+0.000492    test-mlogloss:1.120553+0.075374 
## [431]    train-mlogloss:0.019438+0.000504    test-mlogloss:1.120520+0.075330 
## [432]    train-mlogloss:0.019376+0.000516    test-mlogloss:1.121127+0.073909 
## [433]    train-mlogloss:0.019304+0.000518    test-mlogloss:1.121199+0.073721 
## [434]    train-mlogloss:0.019230+0.000528    test-mlogloss:1.122505+0.073501 
## [435]    train-mlogloss:0.019178+0.000536    test-mlogloss:1.123124+0.073643 
## [436]    train-mlogloss:0.019115+0.000543    test-mlogloss:1.123095+0.072966 
## [437]    train-mlogloss:0.019069+0.000549    test-mlogloss:1.123201+0.072816 
## [438]    train-mlogloss:0.019018+0.000528    test-mlogloss:1.124431+0.072777 
## [439]    train-mlogloss:0.018960+0.000531    test-mlogloss:1.125195+0.072067 
## [440]    train-mlogloss:0.018894+0.000530    test-mlogloss:1.124874+0.071567 
## [441]    train-mlogloss:0.018834+0.000523    test-mlogloss:1.125658+0.071914 
## [442]    train-mlogloss:0.018762+0.000518    test-mlogloss:1.124819+0.072002 
## [443]    train-mlogloss:0.018694+0.000504    test-mlogloss:1.125688+0.071780 
## [444]    train-mlogloss:0.018642+0.000487    test-mlogloss:1.126530+0.071898 
## [445]    train-mlogloss:0.018593+0.000471    test-mlogloss:1.128786+0.072087 
## [446]    train-mlogloss:0.018542+0.000468    test-mlogloss:1.128818+0.072264 
## [447]    train-mlogloss:0.018480+0.000469    test-mlogloss:1.129496+0.072079 
## [448]    train-mlogloss:0.018421+0.000469    test-mlogloss:1.131279+0.071812 
## [449]    train-mlogloss:0.018381+0.000476    test-mlogloss:1.131183+0.071815 
## [450]    train-mlogloss:0.018331+0.000466    test-mlogloss:1.131278+0.072214 
## [451]    train-mlogloss:0.018288+0.000460    test-mlogloss:1.132357+0.072860 
## [452]    train-mlogloss:0.018236+0.000454    test-mlogloss:1.132760+0.072791 
## [453]    train-mlogloss:0.018179+0.000453    test-mlogloss:1.132989+0.074176 
## [454]    train-mlogloss:0.018130+0.000456    test-mlogloss:1.133264+0.073568 
## [455]    train-mlogloss:0.018079+0.000434    test-mlogloss:1.132974+0.072690 
## [456]    train-mlogloss:0.018021+0.000441    test-mlogloss:1.133687+0.073278 
## [457]    train-mlogloss:0.017975+0.000450    test-mlogloss:1.133528+0.072956 
## [458]    train-mlogloss:0.017939+0.000450    test-mlogloss:1.134734+0.073299 
## [459]    train-mlogloss:0.017888+0.000452    test-mlogloss:1.135286+0.073748 
## [460]    train-mlogloss:0.017827+0.000438    test-mlogloss:1.134936+0.073931 
## [461]    train-mlogloss:0.017781+0.000442    test-mlogloss:1.135907+0.074552 
## [462]    train-mlogloss:0.017721+0.000436    test-mlogloss:1.136060+0.075508 
## [463]    train-mlogloss:0.017670+0.000440    test-mlogloss:1.136828+0.075168 
## [464]    train-mlogloss:0.017615+0.000449    test-mlogloss:1.136936+0.074226 
## [465]    train-mlogloss:0.017573+0.000446    test-mlogloss:1.137079+0.074231 
## [466]    train-mlogloss:0.017531+0.000449    test-mlogloss:1.137848+0.073474 
## [467]    train-mlogloss:0.017480+0.000432    test-mlogloss:1.138630+0.073455 
## [468]    train-mlogloss:0.017438+0.000428    test-mlogloss:1.137987+0.073588 
## [469]    train-mlogloss:0.017398+0.000422    test-mlogloss:1.138798+0.073937 
## [470]    train-mlogloss:0.017354+0.000421    test-mlogloss:1.138592+0.073696 
## [471]    train-mlogloss:0.017291+0.000419    test-mlogloss:1.138448+0.073420 
## [472]    train-mlogloss:0.017229+0.000391    test-mlogloss:1.138574+0.073563 
## [473]    train-mlogloss:0.017185+0.000387    test-mlogloss:1.138215+0.073630 
## [474]    train-mlogloss:0.017147+0.000396    test-mlogloss:1.139029+0.073290 
## [475]    train-mlogloss:0.017109+0.000390    test-mlogloss:1.140069+0.073370 
## [476]    train-mlogloss:0.017069+0.000383    test-mlogloss:1.139884+0.073327 
## [477]    train-mlogloss:0.017031+0.000386    test-mlogloss:1.140483+0.074277 
## [478]    train-mlogloss:0.016990+0.000381    test-mlogloss:1.140437+0.074406 
## [479]    train-mlogloss:0.016946+0.000379    test-mlogloss:1.141329+0.073862 
## [480]    train-mlogloss:0.016914+0.000385    test-mlogloss:1.142639+0.073380 
## [481]    train-mlogloss:0.016875+0.000394    test-mlogloss:1.142483+0.074494 
## [482]    train-mlogloss:0.016828+0.000384    test-mlogloss:1.141744+0.074567 
## [483]    train-mlogloss:0.016780+0.000377    test-mlogloss:1.142404+0.074636 
## [484]    train-mlogloss:0.016744+0.000386    test-mlogloss:1.142038+0.073806 
## [485]    train-mlogloss:0.016704+0.000386    test-mlogloss:1.142661+0.073118 
## [486]    train-mlogloss:0.016666+0.000380    test-mlogloss:1.143225+0.073627 
## [487]    train-mlogloss:0.016627+0.000375    test-mlogloss:1.144598+0.074115 
## [488]    train-mlogloss:0.016593+0.000384    test-mlogloss:1.145624+0.074709 
## [489]    train-mlogloss:0.016551+0.000384    test-mlogloss:1.145202+0.074339 
## [490]    train-mlogloss:0.016503+0.000384    test-mlogloss:1.145953+0.074762 
## [491]    train-mlogloss:0.016459+0.000384    test-mlogloss:1.145826+0.074837 
## [492]    train-mlogloss:0.016421+0.000378    test-mlogloss:1.145795+0.074311 
## [493]    train-mlogloss:0.016389+0.000368    test-mlogloss:1.145957+0.074958 
## [494]    train-mlogloss:0.016352+0.000359    test-mlogloss:1.147017+0.074833 
## [495]    train-mlogloss:0.016304+0.000368    test-mlogloss:1.146860+0.074638 
## [496]    train-mlogloss:0.016256+0.000358    test-mlogloss:1.148108+0.074885 
## [497]    train-mlogloss:0.016214+0.000357    test-mlogloss:1.149156+0.073914 
## [498]    train-mlogloss:0.016172+0.000364    test-mlogloss:1.149319+0.073188 
## [499]    train-mlogloss:0.016120+0.000354    test-mlogloss:1.149874+0.072800 
## [500]    train-mlogloss:0.016081+0.000353    test-mlogloss:1.150336+0.072322 
## [1]  train-mlogloss:0.486193+0.002930    test-mlogloss:0.583897+0.005650 
## [2]  train-mlogloss:0.409778+0.002693    test-mlogloss:0.584277+0.008931 
## [3]  train-mlogloss:0.358887+0.003033    test-mlogloss:0.604574+0.008842 
## [4]  train-mlogloss:0.319435+0.002910    test-mlogloss:0.623658+0.009032 
## [5]  train-mlogloss:0.287156+0.002879    test-mlogloss:0.641753+0.008031 
## [6]  train-mlogloss:0.259768+0.003981    test-mlogloss:0.657300+0.012969 
## [7]  train-mlogloss:0.236457+0.003443    test-mlogloss:0.670870+0.011469 
## [8]  train-mlogloss:0.216469+0.003257    test-mlogloss:0.684991+0.011768 
## [9]  train-mlogloss:0.200172+0.003881    test-mlogloss:0.698484+0.015307 
## [10] train-mlogloss:0.184092+0.003374    test-mlogloss:0.710661+0.014481 
## [11] train-mlogloss:0.170338+0.003131    test-mlogloss:0.718958+0.017199 
## [12] train-mlogloss:0.157816+0.003112    test-mlogloss:0.725356+0.017734 
## [13] train-mlogloss:0.146881+0.003403    test-mlogloss:0.732599+0.018029 
## [14] train-mlogloss:0.137657+0.003090    test-mlogloss:0.740645+0.020328 
## [15] train-mlogloss:0.129192+0.002371    test-mlogloss:0.751424+0.018112 
## [16] train-mlogloss:0.121716+0.002240    test-mlogloss:0.762261+0.016956 
## [17] train-mlogloss:0.114874+0.001959    test-mlogloss:0.768082+0.018654 
## [18] train-mlogloss:0.108857+0.001896    test-mlogloss:0.774541+0.020793 
## [19] train-mlogloss:0.103200+0.001903    test-mlogloss:0.783143+0.020264 
## [20] train-mlogloss:0.097838+0.001855    test-mlogloss:0.788769+0.019502 
## [21] train-mlogloss:0.093363+0.001669    test-mlogloss:0.795428+0.019046 
## [22] train-mlogloss:0.089207+0.001434    test-mlogloss:0.802037+0.020351 
## [23] train-mlogloss:0.085470+0.001392    test-mlogloss:0.809695+0.020636 
## [24] train-mlogloss:0.081836+0.001660    test-mlogloss:0.812672+0.021951 
## [25] train-mlogloss:0.078538+0.001608    test-mlogloss:0.819308+0.022299 
## [26] train-mlogloss:0.075497+0.001242    test-mlogloss:0.824404+0.023121 
## [27] train-mlogloss:0.072834+0.000909    test-mlogloss:0.829732+0.022120 
## [28] train-mlogloss:0.070312+0.000988    test-mlogloss:0.832236+0.022080 
## [29] train-mlogloss:0.067968+0.000771    test-mlogloss:0.838374+0.022859 
## [30] train-mlogloss:0.065586+0.000774    test-mlogloss:0.843817+0.022411 
## [31] train-mlogloss:0.063504+0.000813    test-mlogloss:0.848061+0.023123 
## [32] train-mlogloss:0.061582+0.000700    test-mlogloss:0.851429+0.020574 
## [33] train-mlogloss:0.059962+0.000689    test-mlogloss:0.854483+0.020763 
## [34] train-mlogloss:0.058312+0.000633    test-mlogloss:0.858689+0.019618 
## [35] train-mlogloss:0.056827+0.000669    test-mlogloss:0.863251+0.019502 
## [36] train-mlogloss:0.055337+0.000666    test-mlogloss:0.866454+0.022062 
## [37] train-mlogloss:0.053978+0.000603    test-mlogloss:0.870694+0.022519 
## [38] train-mlogloss:0.052615+0.000586    test-mlogloss:0.873937+0.021234 
## [39] train-mlogloss:0.051341+0.000609    test-mlogloss:0.875988+0.022412 
## [40] train-mlogloss:0.050267+0.000585    test-mlogloss:0.877904+0.022862 
## [41] train-mlogloss:0.049083+0.000559    test-mlogloss:0.880886+0.023794 
## [42] train-mlogloss:0.047944+0.000516    test-mlogloss:0.883999+0.025213 
## [43] train-mlogloss:0.046931+0.000437    test-mlogloss:0.887347+0.026178 
## [44] train-mlogloss:0.045960+0.000413    test-mlogloss:0.888495+0.028607 
## [45] train-mlogloss:0.045033+0.000499    test-mlogloss:0.889784+0.028080 
## [46] train-mlogloss:0.044051+0.000438    test-mlogloss:0.892930+0.026309 
## [47] train-mlogloss:0.043122+0.000448    test-mlogloss:0.893999+0.025031 
## [48] train-mlogloss:0.042262+0.000434    test-mlogloss:0.897378+0.024789 
## [49] train-mlogloss:0.041509+0.000429    test-mlogloss:0.900613+0.024982 
## [50] train-mlogloss:0.040749+0.000435    test-mlogloss:0.904390+0.025551 
## [51] train-mlogloss:0.039990+0.000432    test-mlogloss:0.906928+0.025414 
## [52] train-mlogloss:0.039273+0.000358    test-mlogloss:0.909161+0.025380 
## [53] train-mlogloss:0.038562+0.000364    test-mlogloss:0.910955+0.025676 
## [54] train-mlogloss:0.037957+0.000338    test-mlogloss:0.912558+0.025056 
## [55] train-mlogloss:0.037352+0.000350    test-mlogloss:0.915753+0.023566 
## [56] train-mlogloss:0.036705+0.000347    test-mlogloss:0.919035+0.024104 
## [57] train-mlogloss:0.036102+0.000348    test-mlogloss:0.921806+0.023064 
## [58] train-mlogloss:0.035512+0.000361    test-mlogloss:0.924186+0.022815 
## [59] train-mlogloss:0.034987+0.000349    test-mlogloss:0.925011+0.022500 
## [60] train-mlogloss:0.034487+0.000334    test-mlogloss:0.926648+0.022037 
## [61] train-mlogloss:0.034005+0.000283    test-mlogloss:0.928535+0.022851 
## [62] train-mlogloss:0.033528+0.000293    test-mlogloss:0.930152+0.023733 
## [63] train-mlogloss:0.033078+0.000279    test-mlogloss:0.931416+0.023801 
## [64] train-mlogloss:0.032579+0.000284    test-mlogloss:0.934720+0.023244 
## [65] train-mlogloss:0.032148+0.000318    test-mlogloss:0.938048+0.022918 
## [66] train-mlogloss:0.031718+0.000307    test-mlogloss:0.939119+0.022734 
## [67] train-mlogloss:0.031270+0.000292    test-mlogloss:0.938973+0.021144 
## [68] train-mlogloss:0.030899+0.000292    test-mlogloss:0.940490+0.020702 
## [69] train-mlogloss:0.030505+0.000299    test-mlogloss:0.942755+0.020253 
## [70] train-mlogloss:0.030167+0.000277    test-mlogloss:0.944635+0.021339 
## [71] train-mlogloss:0.029802+0.000307    test-mlogloss:0.947400+0.020705 
## [72] train-mlogloss:0.029443+0.000277    test-mlogloss:0.947931+0.021939 
## [73] train-mlogloss:0.029116+0.000263    test-mlogloss:0.950381+0.022800 
## [74] train-mlogloss:0.028785+0.000270    test-mlogloss:0.952252+0.023194 
## [75] train-mlogloss:0.028441+0.000252    test-mlogloss:0.953799+0.022937 
## [76] train-mlogloss:0.028130+0.000232    test-mlogloss:0.956005+0.024301 
## [77] train-mlogloss:0.027833+0.000219    test-mlogloss:0.958394+0.023608 
## [78] train-mlogloss:0.027536+0.000201    test-mlogloss:0.959753+0.024396 
## [79] train-mlogloss:0.027245+0.000221    test-mlogloss:0.960225+0.023824 
## [80] train-mlogloss:0.026968+0.000232    test-mlogloss:0.959915+0.023733 
## [81] train-mlogloss:0.026712+0.000230    test-mlogloss:0.961365+0.025400 
## [82] train-mlogloss:0.026410+0.000218    test-mlogloss:0.962372+0.025638 
## [83] train-mlogloss:0.026189+0.000205    test-mlogloss:0.964598+0.024586 
## [84] train-mlogloss:0.025936+0.000225    test-mlogloss:0.966493+0.025200 
## [85] train-mlogloss:0.025708+0.000229    test-mlogloss:0.967500+0.025625 
## [86] train-mlogloss:0.025446+0.000275    test-mlogloss:0.969555+0.027849 
## [87] train-mlogloss:0.025207+0.000277    test-mlogloss:0.971501+0.027733 
## [88] train-mlogloss:0.025014+0.000277    test-mlogloss:0.972910+0.028391 
## [89] train-mlogloss:0.024771+0.000296    test-mlogloss:0.974866+0.027233 
## [90] train-mlogloss:0.024576+0.000323    test-mlogloss:0.975083+0.028388 
## [91] train-mlogloss:0.024377+0.000325    test-mlogloss:0.975518+0.029077 
## [92] train-mlogloss:0.024181+0.000313    test-mlogloss:0.975910+0.028650 
## [93] train-mlogloss:0.023982+0.000310    test-mlogloss:0.976633+0.028607 
## [94] train-mlogloss:0.023783+0.000322    test-mlogloss:0.978085+0.026996 
## [95] train-mlogloss:0.023588+0.000314    test-mlogloss:0.980015+0.026981 
## [96] train-mlogloss:0.023402+0.000294    test-mlogloss:0.982303+0.027020 
## [97] train-mlogloss:0.023211+0.000279    test-mlogloss:0.983665+0.026669 
## [98] train-mlogloss:0.023044+0.000275    test-mlogloss:0.985391+0.027042 
## [99] train-mlogloss:0.022858+0.000272    test-mlogloss:0.987755+0.028020 
## [100]    train-mlogloss:0.022672+0.000274    test-mlogloss:0.987561+0.028478 
## [101]    train-mlogloss:0.022502+0.000301    test-mlogloss:0.987874+0.028856 
## [102]    train-mlogloss:0.022323+0.000301    test-mlogloss:0.989070+0.029351 
## [103]    train-mlogloss:0.022153+0.000288    test-mlogloss:0.989649+0.030234 
## [104]    train-mlogloss:0.021994+0.000274    test-mlogloss:0.990837+0.028578 
## [105]    train-mlogloss:0.021830+0.000274    test-mlogloss:0.992500+0.028280 
## [106]    train-mlogloss:0.021668+0.000294    test-mlogloss:0.992940+0.027708 
## [107]    train-mlogloss:0.021487+0.000277    test-mlogloss:0.995327+0.027327 
## [108]    train-mlogloss:0.021342+0.000274    test-mlogloss:0.997338+0.027871 
## [109]    train-mlogloss:0.021193+0.000277    test-mlogloss:0.998273+0.029599 
## [110]    train-mlogloss:0.021049+0.000250    test-mlogloss:0.998907+0.030808 
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## [500]    train-mlogloss:0.007794+0.000066    test-mlogloss:1.160727+0.049003 
## [1]  train-mlogloss:0.523957+0.001149    test-mlogloss:0.547116+0.004964 
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## [9]  train-mlogloss:0.449776+0.004181    test-mlogloss:0.580800+0.010900 
## [10] train-mlogloss:0.442660+0.004132    test-mlogloss:0.585508+0.012341 
## [11] train-mlogloss:0.435723+0.005203    test-mlogloss:0.588550+0.012413 
## [12] train-mlogloss:0.429305+0.006150    test-mlogloss:0.589639+0.011113 
## [13] train-mlogloss:0.421927+0.006634    test-mlogloss:0.594552+0.010737 
## [14] train-mlogloss:0.415133+0.007241    test-mlogloss:0.599117+0.010119 
## [15] train-mlogloss:0.408670+0.007640    test-mlogloss:0.603203+0.010978 
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## [18] train-mlogloss:0.392185+0.006934    test-mlogloss:0.612945+0.009529 
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## [20] train-mlogloss:0.380948+0.005768    test-mlogloss:0.618540+0.009297 
## [21] train-mlogloss:0.374740+0.004267    test-mlogloss:0.624375+0.009122 
## [22] train-mlogloss:0.370749+0.003937    test-mlogloss:0.628577+0.009889 
## [23] train-mlogloss:0.365056+0.003147    test-mlogloss:0.632417+0.009670 
## [24] train-mlogloss:0.359064+0.003527    test-mlogloss:0.636810+0.008676 
## [25] train-mlogloss:0.354640+0.004291    test-mlogloss:0.639993+0.008243 
## [26] train-mlogloss:0.349658+0.003839    test-mlogloss:0.646769+0.005507 
## [27] train-mlogloss:0.343710+0.004645    test-mlogloss:0.651826+0.004048 
## [28] train-mlogloss:0.338640+0.004090    test-mlogloss:0.655419+0.002055 
## [29] train-mlogloss:0.332627+0.003526    test-mlogloss:0.658237+0.003343 
## [30] train-mlogloss:0.327361+0.003144    test-mlogloss:0.660493+0.003070 
## [31] train-mlogloss:0.322071+0.002525    test-mlogloss:0.666750+0.006749 
## [32] train-mlogloss:0.317630+0.003091    test-mlogloss:0.669904+0.006717 
## [33] train-mlogloss:0.313555+0.003685    test-mlogloss:0.675893+0.005458 
## [34] train-mlogloss:0.308710+0.003008    test-mlogloss:0.681663+0.006688 
## [35] train-mlogloss:0.303383+0.003112    test-mlogloss:0.686298+0.006140 
## [36] train-mlogloss:0.299267+0.002692    test-mlogloss:0.688993+0.005120 
## [37] train-mlogloss:0.295386+0.002209    test-mlogloss:0.691991+0.004938 
## [38] train-mlogloss:0.291160+0.002930    test-mlogloss:0.694953+0.006205 
## [39] train-mlogloss:0.286840+0.003701    test-mlogloss:0.700577+0.003286 
## [40] train-mlogloss:0.282842+0.003582    test-mlogloss:0.704088+0.004339 
## [41] train-mlogloss:0.279902+0.003150    test-mlogloss:0.707462+0.004271 
## [42] train-mlogloss:0.275804+0.002917    test-mlogloss:0.710422+0.006290 
## [43] train-mlogloss:0.271731+0.002784    test-mlogloss:0.714635+0.007643 
## [44] train-mlogloss:0.267782+0.002902    test-mlogloss:0.716938+0.006265 
## [45] train-mlogloss:0.263994+0.003437    test-mlogloss:0.720834+0.006904 
## [46] train-mlogloss:0.260574+0.003232    test-mlogloss:0.725637+0.010809 
## [47] train-mlogloss:0.256839+0.002700    test-mlogloss:0.730563+0.010700 
## [48] train-mlogloss:0.253094+0.002708    test-mlogloss:0.733403+0.012014 
## [49] train-mlogloss:0.249284+0.002943    test-mlogloss:0.737950+0.011834 
## [50] train-mlogloss:0.246167+0.002984    test-mlogloss:0.741494+0.011785 
## [51] train-mlogloss:0.242487+0.003732    test-mlogloss:0.744141+0.009878 
## [52] train-mlogloss:0.238963+0.003765    test-mlogloss:0.747059+0.009186 
## [53] train-mlogloss:0.235449+0.003792    test-mlogloss:0.749558+0.008917 
## [54] train-mlogloss:0.232271+0.003645    test-mlogloss:0.754291+0.011739 
## [55] train-mlogloss:0.228967+0.003341    test-mlogloss:0.755298+0.011609 
## [56] train-mlogloss:0.226172+0.002923    test-mlogloss:0.758552+0.011844 
## [57] train-mlogloss:0.223188+0.003196    test-mlogloss:0.763265+0.012965 
## [58] train-mlogloss:0.220006+0.003356    test-mlogloss:0.768110+0.012573 
## [59] train-mlogloss:0.217383+0.003573    test-mlogloss:0.769791+0.011989 
## [60] train-mlogloss:0.214017+0.003107    test-mlogloss:0.773003+0.013310 
## [61] train-mlogloss:0.211049+0.003226    test-mlogloss:0.774027+0.011078 
## [62] train-mlogloss:0.208549+0.003272    test-mlogloss:0.776450+0.011829 
## [63] train-mlogloss:0.205666+0.003086    test-mlogloss:0.781053+0.011667 
## [64] train-mlogloss:0.202402+0.003024    test-mlogloss:0.784977+0.010457 
## [65] train-mlogloss:0.199645+0.002785    test-mlogloss:0.787512+0.011780 
## [66] train-mlogloss:0.197747+0.002863    test-mlogloss:0.790342+0.011975 
## [67] train-mlogloss:0.195866+0.002762    test-mlogloss:0.793113+0.013490 
## [68] train-mlogloss:0.193181+0.002550    test-mlogloss:0.795866+0.013827 
## [69] train-mlogloss:0.190616+0.002766    test-mlogloss:0.797268+0.010091 
## [70] train-mlogloss:0.187527+0.002693    test-mlogloss:0.802845+0.010048 
## [71] train-mlogloss:0.184771+0.002717    test-mlogloss:0.804235+0.012064 
## [72] train-mlogloss:0.182380+0.002847    test-mlogloss:0.806855+0.012837 
## [73] train-mlogloss:0.180015+0.002867    test-mlogloss:0.809038+0.012814 
## [74] train-mlogloss:0.177121+0.002790    test-mlogloss:0.812354+0.010056 
## [75] train-mlogloss:0.175185+0.002921    test-mlogloss:0.815777+0.008564 
## [76] train-mlogloss:0.172756+0.002698    test-mlogloss:0.821732+0.009226 
## [77] train-mlogloss:0.170524+0.002999    test-mlogloss:0.822936+0.007613 
## [78] train-mlogloss:0.168068+0.003055    test-mlogloss:0.827204+0.009960 
## [79] train-mlogloss:0.166136+0.003491    test-mlogloss:0.831097+0.010023 
## [80] train-mlogloss:0.164085+0.003693    test-mlogloss:0.833271+0.010199 
## [81] train-mlogloss:0.161602+0.004124    test-mlogloss:0.837580+0.008449 
## [82] train-mlogloss:0.159381+0.004098    test-mlogloss:0.840835+0.007540 
## [83] train-mlogloss:0.157384+0.003845    test-mlogloss:0.842186+0.007876 
## [84] train-mlogloss:0.155178+0.003361    test-mlogloss:0.843132+0.010203 
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## [86] train-mlogloss:0.151501+0.004016    test-mlogloss:0.847077+0.006438 
## [87] train-mlogloss:0.149049+0.004098    test-mlogloss:0.848946+0.008142 
## [88] train-mlogloss:0.147219+0.003894    test-mlogloss:0.852664+0.009356 
## [89] train-mlogloss:0.145423+0.003846    test-mlogloss:0.853675+0.009615 
## [90] train-mlogloss:0.143816+0.004335    test-mlogloss:0.854318+0.013556 
## [91] train-mlogloss:0.141442+0.004323    test-mlogloss:0.858077+0.012814 
## [92] train-mlogloss:0.139781+0.004130    test-mlogloss:0.860812+0.012435 
## [93] train-mlogloss:0.138006+0.004166    test-mlogloss:0.863453+0.015187 
## [94] train-mlogloss:0.136107+0.004380    test-mlogloss:0.867014+0.015657 
## [95] train-mlogloss:0.133754+0.004397    test-mlogloss:0.869021+0.015157 
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## [97] train-mlogloss:0.130195+0.004140    test-mlogloss:0.875517+0.014767 
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## [431]    train-mlogloss:0.014250+0.000330    test-mlogloss:1.233224+0.017976 
## [432]    train-mlogloss:0.014215+0.000329    test-mlogloss:1.233809+0.018643 
## [433]    train-mlogloss:0.014180+0.000320    test-mlogloss:1.235761+0.018686 
## [434]    train-mlogloss:0.014133+0.000315    test-mlogloss:1.236149+0.019003 
## [435]    train-mlogloss:0.014095+0.000323    test-mlogloss:1.238498+0.017730 
## [436]    train-mlogloss:0.014055+0.000323    test-mlogloss:1.239062+0.017456 
## [437]    train-mlogloss:0.014026+0.000330    test-mlogloss:1.238675+0.017746 
## [438]    train-mlogloss:0.013985+0.000309    test-mlogloss:1.239164+0.018071 
## [439]    train-mlogloss:0.013945+0.000303    test-mlogloss:1.239635+0.019109 
## [440]    train-mlogloss:0.013902+0.000310    test-mlogloss:1.240531+0.020521 
## [441]    train-mlogloss:0.013863+0.000311    test-mlogloss:1.239972+0.020542 
## [442]    train-mlogloss:0.013818+0.000308    test-mlogloss:1.240971+0.020366 
## [443]    train-mlogloss:0.013790+0.000312    test-mlogloss:1.240960+0.020829 
## [444]    train-mlogloss:0.013751+0.000307    test-mlogloss:1.241970+0.019899 
## [445]    train-mlogloss:0.013720+0.000301    test-mlogloss:1.241918+0.019655 
## [446]    train-mlogloss:0.013680+0.000304    test-mlogloss:1.242111+0.020416 
## [447]    train-mlogloss:0.013639+0.000295    test-mlogloss:1.242075+0.020644 
## [448]    train-mlogloss:0.013596+0.000297    test-mlogloss:1.242926+0.021480 
## [449]    train-mlogloss:0.013564+0.000295    test-mlogloss:1.243669+0.020828 
## [450]    train-mlogloss:0.013519+0.000295    test-mlogloss:1.244503+0.021033 
## [451]    train-mlogloss:0.013474+0.000298    test-mlogloss:1.245866+0.020967 
## [452]    train-mlogloss:0.013429+0.000289    test-mlogloss:1.245482+0.022045 
## [453]    train-mlogloss:0.013399+0.000283    test-mlogloss:1.245405+0.021633 
## [454]    train-mlogloss:0.013360+0.000272    test-mlogloss:1.246260+0.021190 
## [455]    train-mlogloss:0.013325+0.000263    test-mlogloss:1.245576+0.021597 
## [456]    train-mlogloss:0.013284+0.000270    test-mlogloss:1.245145+0.021555 
## [457]    train-mlogloss:0.013244+0.000278    test-mlogloss:1.245852+0.022395 
## [458]    train-mlogloss:0.013202+0.000273    test-mlogloss:1.247839+0.022724 
## [459]    train-mlogloss:0.013159+0.000272    test-mlogloss:1.249135+0.021957 
## [460]    train-mlogloss:0.013132+0.000275    test-mlogloss:1.249509+0.022275 
## [461]    train-mlogloss:0.013095+0.000276    test-mlogloss:1.248833+0.022122 
## [462]    train-mlogloss:0.013062+0.000272    test-mlogloss:1.248960+0.021584 
## [463]    train-mlogloss:0.013023+0.000269    test-mlogloss:1.249690+0.022193 
## [464]    train-mlogloss:0.012981+0.000272    test-mlogloss:1.249729+0.021452 
## [465]    train-mlogloss:0.012951+0.000273    test-mlogloss:1.250186+0.021108 
## [466]    train-mlogloss:0.012923+0.000271    test-mlogloss:1.250685+0.022228 
## [467]    train-mlogloss:0.012890+0.000263    test-mlogloss:1.251289+0.021812 
## [468]    train-mlogloss:0.012862+0.000262    test-mlogloss:1.251832+0.021105 
## [469]    train-mlogloss:0.012822+0.000270    test-mlogloss:1.250968+0.020821 
## [470]    train-mlogloss:0.012797+0.000268    test-mlogloss:1.252529+0.020562 
## [471]    train-mlogloss:0.012760+0.000262    test-mlogloss:1.252591+0.020766 
## [472]    train-mlogloss:0.012729+0.000271    test-mlogloss:1.252990+0.021055 
## [473]    train-mlogloss:0.012701+0.000270    test-mlogloss:1.253416+0.022392 
## [474]    train-mlogloss:0.012670+0.000273    test-mlogloss:1.253625+0.021237 
## [475]    train-mlogloss:0.012654+0.000276    test-mlogloss:1.253682+0.021766 
## [476]    train-mlogloss:0.012614+0.000270    test-mlogloss:1.253534+0.022318 
## [477]    train-mlogloss:0.012580+0.000269    test-mlogloss:1.254214+0.021401 
## [478]    train-mlogloss:0.012549+0.000270    test-mlogloss:1.254577+0.020682 
## [479]    train-mlogloss:0.012522+0.000268    test-mlogloss:1.254714+0.021343 
## [480]    train-mlogloss:0.012489+0.000257    test-mlogloss:1.254562+0.021829 
## [481]    train-mlogloss:0.012454+0.000245    test-mlogloss:1.254946+0.021599 
## [482]    train-mlogloss:0.012417+0.000245    test-mlogloss:1.255396+0.020672 
## [483]    train-mlogloss:0.012388+0.000253    test-mlogloss:1.255855+0.021623 
## [484]    train-mlogloss:0.012362+0.000253    test-mlogloss:1.255310+0.023261 
## [485]    train-mlogloss:0.012334+0.000251    test-mlogloss:1.256723+0.023465 
## [486]    train-mlogloss:0.012306+0.000254    test-mlogloss:1.257924+0.023877 
## [487]    train-mlogloss:0.012270+0.000248    test-mlogloss:1.258199+0.023915 
## [488]    train-mlogloss:0.012230+0.000247    test-mlogloss:1.258181+0.024523 
## [489]    train-mlogloss:0.012207+0.000250    test-mlogloss:1.259720+0.024141 
## [490]    train-mlogloss:0.012184+0.000247    test-mlogloss:1.259968+0.024757 
## [491]    train-mlogloss:0.012151+0.000249    test-mlogloss:1.260937+0.025686 
## [492]    train-mlogloss:0.012118+0.000253    test-mlogloss:1.261857+0.025439 
## [493]    train-mlogloss:0.012093+0.000250    test-mlogloss:1.261759+0.024303 
## [494]    train-mlogloss:0.012066+0.000236    test-mlogloss:1.262906+0.024102 
## [495]    train-mlogloss:0.012038+0.000240    test-mlogloss:1.262573+0.024210 
## [496]    train-mlogloss:0.012014+0.000237    test-mlogloss:1.263243+0.024545 
## [497]    train-mlogloss:0.011984+0.000228    test-mlogloss:1.263243+0.025561 
## [498]    train-mlogloss:0.011955+0.000236    test-mlogloss:1.262226+0.024783 
## [499]    train-mlogloss:0.011931+0.000235    test-mlogloss:1.262927+0.024350 
## [500]    train-mlogloss:0.011908+0.000239    test-mlogloss:1.264132+0.025118 
## [1]  train-mlogloss:0.465770+0.002912    test-mlogloss:0.583544+0.012890 
## [2]  train-mlogloss:0.392413+0.002912    test-mlogloss:0.609594+0.014359 
## [3]  train-mlogloss:0.342509+0.004149    test-mlogloss:0.641952+0.016618 
## [4]  train-mlogloss:0.301673+0.002540    test-mlogloss:0.669496+0.022906 
## [5]  train-mlogloss:0.269303+0.001792    test-mlogloss:0.690041+0.024233 
## [6]  train-mlogloss:0.242220+0.002134    test-mlogloss:0.712602+0.026948 
## [7]  train-mlogloss:0.218944+0.002265    test-mlogloss:0.733810+0.030275 
## [8]  train-mlogloss:0.198668+0.001946    test-mlogloss:0.748146+0.032095 
## [9]  train-mlogloss:0.181615+0.001371    test-mlogloss:0.761962+0.032594 
## [10] train-mlogloss:0.167007+0.000768    test-mlogloss:0.774928+0.035384 
## [11] train-mlogloss:0.152825+0.001153    test-mlogloss:0.783894+0.033585 
## [12] train-mlogloss:0.142081+0.001078    test-mlogloss:0.792672+0.036663 
## [13] train-mlogloss:0.130904+0.001253    test-mlogloss:0.803759+0.039279 
## [14] train-mlogloss:0.121977+0.001214    test-mlogloss:0.815966+0.040624 
## [15] train-mlogloss:0.113665+0.001784    test-mlogloss:0.824709+0.040980 
## [16] train-mlogloss:0.106426+0.001923    test-mlogloss:0.833455+0.040630 
## [17] train-mlogloss:0.099977+0.001775    test-mlogloss:0.844155+0.038260 
## [18] train-mlogloss:0.094552+0.001525    test-mlogloss:0.854687+0.037867 
## [19] train-mlogloss:0.089378+0.001864    test-mlogloss:0.858655+0.040899 
## [20] train-mlogloss:0.084830+0.001653    test-mlogloss:0.867639+0.040564 
## [21] train-mlogloss:0.080870+0.001804    test-mlogloss:0.871586+0.043013 
## [22] train-mlogloss:0.077181+0.001784    test-mlogloss:0.878274+0.044014 
## [23] train-mlogloss:0.073318+0.001686    test-mlogloss:0.884470+0.043085 
## [24] train-mlogloss:0.069996+0.001482    test-mlogloss:0.890155+0.046145 
## [25] train-mlogloss:0.067373+0.001206    test-mlogloss:0.894259+0.044179 
## [26] train-mlogloss:0.064831+0.001206    test-mlogloss:0.902296+0.045161 
## [27] train-mlogloss:0.062419+0.001289    test-mlogloss:0.907042+0.044513 
## [28] train-mlogloss:0.060303+0.001225    test-mlogloss:0.911000+0.043909 
## [29] train-mlogloss:0.058130+0.001035    test-mlogloss:0.915796+0.042848 
## [30] train-mlogloss:0.056172+0.000868    test-mlogloss:0.919205+0.041519 
## [31] train-mlogloss:0.054303+0.000804    test-mlogloss:0.921420+0.043977 
## [32] train-mlogloss:0.052698+0.000685    test-mlogloss:0.925263+0.046213 
## [33] train-mlogloss:0.050992+0.000676    test-mlogloss:0.930596+0.046667 
## [34] train-mlogloss:0.049538+0.000603    test-mlogloss:0.934944+0.045073 
## [35] train-mlogloss:0.048139+0.000571    test-mlogloss:0.939600+0.044072 
## [36] train-mlogloss:0.046748+0.000585    test-mlogloss:0.942532+0.045555 
## [37] train-mlogloss:0.045544+0.000681    test-mlogloss:0.945732+0.045639 
## [38] train-mlogloss:0.044329+0.000703    test-mlogloss:0.949381+0.044651 
## [39] train-mlogloss:0.043158+0.000635    test-mlogloss:0.951481+0.043013 
## [40] train-mlogloss:0.042145+0.000558    test-mlogloss:0.955290+0.042914 
## [41] train-mlogloss:0.041174+0.000491    test-mlogloss:0.957969+0.043515 
## [42] train-mlogloss:0.040282+0.000514    test-mlogloss:0.962611+0.042224 
## [43] train-mlogloss:0.039452+0.000472    test-mlogloss:0.963457+0.042519 
## [44] train-mlogloss:0.038633+0.000560    test-mlogloss:0.965968+0.042307 
## [45] train-mlogloss:0.037834+0.000566    test-mlogloss:0.970279+0.043231 
## [46] train-mlogloss:0.037018+0.000606    test-mlogloss:0.972450+0.046852 
## [47] train-mlogloss:0.036270+0.000578    test-mlogloss:0.976615+0.046241 
## [48] train-mlogloss:0.035553+0.000421    test-mlogloss:0.978764+0.047772 
## [49] train-mlogloss:0.034889+0.000457    test-mlogloss:0.983649+0.047791 
## [50] train-mlogloss:0.034219+0.000430    test-mlogloss:0.987974+0.048928 
## [51] train-mlogloss:0.033618+0.000453    test-mlogloss:0.991601+0.047396 
## [52] train-mlogloss:0.033085+0.000431    test-mlogloss:0.995901+0.048178 
## [53] train-mlogloss:0.032570+0.000442    test-mlogloss:0.999101+0.048852 
## [54] train-mlogloss:0.032037+0.000457    test-mlogloss:1.000694+0.048786 
## [55] train-mlogloss:0.031481+0.000482    test-mlogloss:1.000668+0.048929 
## [56] train-mlogloss:0.030986+0.000468    test-mlogloss:1.003938+0.049221 
## [57] train-mlogloss:0.030541+0.000480    test-mlogloss:1.005591+0.049036 
## [58] train-mlogloss:0.030099+0.000465    test-mlogloss:1.007668+0.050520 
## [59] train-mlogloss:0.029672+0.000491    test-mlogloss:1.009355+0.051723 
## [60] train-mlogloss:0.029246+0.000493    test-mlogloss:1.013614+0.052176 
## [61] train-mlogloss:0.028874+0.000401    test-mlogloss:1.014869+0.053014 
## [62] train-mlogloss:0.028427+0.000374    test-mlogloss:1.016304+0.052793 
## [63] train-mlogloss:0.028036+0.000380    test-mlogloss:1.019728+0.053550 
## [64] train-mlogloss:0.027626+0.000381    test-mlogloss:1.021876+0.055094 
## [65] train-mlogloss:0.027276+0.000338    test-mlogloss:1.023790+0.056424 
## [66] train-mlogloss:0.026923+0.000347    test-mlogloss:1.025996+0.055087 
## [67] train-mlogloss:0.026586+0.000352    test-mlogloss:1.028416+0.055394 
## [68] train-mlogloss:0.026282+0.000355    test-mlogloss:1.030735+0.054680 
## [69] train-mlogloss:0.025958+0.000326    test-mlogloss:1.034146+0.054813 
## [70] train-mlogloss:0.025664+0.000284    test-mlogloss:1.033869+0.054132 
## [71] train-mlogloss:0.025381+0.000278    test-mlogloss:1.035111+0.054063 
## [72] train-mlogloss:0.025067+0.000292    test-mlogloss:1.035469+0.053611 
## [73] train-mlogloss:0.024782+0.000286    test-mlogloss:1.035120+0.053533 
## [74] train-mlogloss:0.024482+0.000257    test-mlogloss:1.035499+0.053448 
## [75] train-mlogloss:0.024187+0.000238    test-mlogloss:1.039935+0.053028 
## [76] train-mlogloss:0.023904+0.000237    test-mlogloss:1.041682+0.053401 
## [77] train-mlogloss:0.023627+0.000222    test-mlogloss:1.043419+0.054156 
## [78] train-mlogloss:0.023353+0.000223    test-mlogloss:1.045798+0.056220 
## [79] train-mlogloss:0.023112+0.000182    test-mlogloss:1.046208+0.056189 
## [80] train-mlogloss:0.022863+0.000185    test-mlogloss:1.048430+0.055150 
## [81] train-mlogloss:0.022654+0.000195    test-mlogloss:1.049236+0.055586 
## [82] train-mlogloss:0.022416+0.000173    test-mlogloss:1.051234+0.054952 
## [83] train-mlogloss:0.022215+0.000153    test-mlogloss:1.052047+0.053849 
## [84] train-mlogloss:0.022014+0.000168    test-mlogloss:1.053927+0.056574 
## [85] train-mlogloss:0.021800+0.000165    test-mlogloss:1.055683+0.056700 
## [86] train-mlogloss:0.021604+0.000193    test-mlogloss:1.057222+0.054401 
## [87] train-mlogloss:0.021421+0.000179    test-mlogloss:1.057083+0.055829 
## [88] train-mlogloss:0.021225+0.000161    test-mlogloss:1.057971+0.056548 
## [89] train-mlogloss:0.021021+0.000136    test-mlogloss:1.058405+0.056597 
## [90] train-mlogloss:0.020814+0.000155    test-mlogloss:1.059378+0.057769 
## [91] train-mlogloss:0.020613+0.000160    test-mlogloss:1.059804+0.058128 
## [92] train-mlogloss:0.020444+0.000133    test-mlogloss:1.061003+0.057845 
## [93] train-mlogloss:0.020270+0.000147    test-mlogloss:1.063602+0.058292 
## [94] train-mlogloss:0.020122+0.000140    test-mlogloss:1.064495+0.058684 
## [95] train-mlogloss:0.019950+0.000125    test-mlogloss:1.063967+0.058716 
## [96] train-mlogloss:0.019793+0.000122    test-mlogloss:1.064505+0.058542 
## [97] train-mlogloss:0.019627+0.000131    test-mlogloss:1.065137+0.058537 
## [98] train-mlogloss:0.019481+0.000115    test-mlogloss:1.067770+0.058792 
## [99] train-mlogloss:0.019333+0.000117    test-mlogloss:1.068164+0.059345 
## [100]    train-mlogloss:0.019187+0.000144    test-mlogloss:1.069289+0.059084 
## [101]    train-mlogloss:0.019039+0.000135    test-mlogloss:1.071921+0.060636 
## [102]    train-mlogloss:0.018908+0.000136    test-mlogloss:1.072053+0.059626 
## [103]    train-mlogloss:0.018767+0.000147    test-mlogloss:1.073561+0.058463 
## [104]    train-mlogloss:0.018648+0.000142    test-mlogloss:1.074026+0.058072 
## [105]    train-mlogloss:0.018508+0.000121    test-mlogloss:1.075465+0.059067 
## [106]    train-mlogloss:0.018385+0.000126    test-mlogloss:1.077152+0.059053 
## [107]    train-mlogloss:0.018238+0.000141    test-mlogloss:1.078484+0.058992 
## [108]    train-mlogloss:0.018119+0.000141    test-mlogloss:1.078675+0.059661 
## [109]    train-mlogloss:0.017973+0.000149    test-mlogloss:1.080297+0.059339 
## [110]    train-mlogloss:0.017836+0.000156    test-mlogloss:1.081442+0.059546 
## [111]    train-mlogloss:0.017707+0.000136    test-mlogloss:1.085051+0.061072 
## [112]    train-mlogloss:0.017593+0.000123    test-mlogloss:1.086010+0.061090 
## [113]    train-mlogloss:0.017512+0.000135    test-mlogloss:1.087489+0.060953 
## [114]    train-mlogloss:0.017404+0.000127    test-mlogloss:1.087217+0.060140 
## [115]    train-mlogloss:0.017293+0.000114    test-mlogloss:1.085292+0.060348 
## [116]    train-mlogloss:0.017179+0.000122    test-mlogloss:1.086684+0.059674 
## [117]    train-mlogloss:0.017059+0.000116    test-mlogloss:1.088062+0.060725 
## [118]    train-mlogloss:0.016967+0.000119    test-mlogloss:1.088758+0.061137 
## [119]    train-mlogloss:0.016850+0.000114    test-mlogloss:1.089797+0.060050 
## [120]    train-mlogloss:0.016748+0.000108    test-mlogloss:1.091786+0.059849 
## [121]    train-mlogloss:0.016642+0.000109    test-mlogloss:1.091513+0.059877 
## [122]    train-mlogloss:0.016542+0.000091    test-mlogloss:1.093848+0.059571 
## [123]    train-mlogloss:0.016427+0.000084    test-mlogloss:1.094392+0.059594 
## [124]    train-mlogloss:0.016330+0.000069    test-mlogloss:1.095143+0.060833 
## [125]    train-mlogloss:0.016249+0.000066    test-mlogloss:1.097165+0.060969 
## [126]    train-mlogloss:0.016157+0.000077    test-mlogloss:1.100114+0.060407 
## [127]    train-mlogloss:0.016043+0.000090    test-mlogloss:1.099951+0.060591 
## [128]    train-mlogloss:0.015943+0.000112    test-mlogloss:1.101325+0.060000 
## [129]    train-mlogloss:0.015854+0.000113    test-mlogloss:1.102393+0.059957 
## [130]    train-mlogloss:0.015778+0.000121    test-mlogloss:1.103543+0.061051 
## [131]    train-mlogloss:0.015690+0.000141    test-mlogloss:1.103650+0.060699 
## [132]    train-mlogloss:0.015604+0.000133    test-mlogloss:1.104129+0.059857 
## [133]    train-mlogloss:0.015534+0.000147    test-mlogloss:1.104343+0.061295 
## [134]    train-mlogloss:0.015457+0.000157    test-mlogloss:1.106614+0.060974 
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## [499]    train-mlogloss:0.006883+0.000080    test-mlogloss:1.235507+0.064245 
## [500]    train-mlogloss:0.006880+0.000079    test-mlogloss:1.235743+0.064034 
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## [2]  train-mlogloss:0.570153+0.001183    test-mlogloss:0.583925+0.004174 
## [3]  train-mlogloss:0.542848+0.002066    test-mlogloss:0.562797+0.005380 
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## [6]  train-mlogloss:0.503967+0.003052    test-mlogloss:0.539598+0.007220 
## [7]  train-mlogloss:0.497329+0.002609    test-mlogloss:0.536882+0.007628 
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## [9]  train-mlogloss:0.486975+0.002703    test-mlogloss:0.535259+0.008333 
## [10] train-mlogloss:0.483700+0.002749    test-mlogloss:0.535113+0.008181 
## [11] train-mlogloss:0.480085+0.002320    test-mlogloss:0.535033+0.008506 
## [12] train-mlogloss:0.477174+0.002666    test-mlogloss:0.534642+0.008931 
## [13] train-mlogloss:0.474548+0.002747    test-mlogloss:0.535294+0.009292 
## [14] train-mlogloss:0.471171+0.002754    test-mlogloss:0.535711+0.009511 
## [15] train-mlogloss:0.468670+0.003138    test-mlogloss:0.536310+0.010010 
## [16] train-mlogloss:0.466618+0.002773    test-mlogloss:0.536723+0.009872 
## [17] train-mlogloss:0.464140+0.002663    test-mlogloss:0.537540+0.009860 
## [18] train-mlogloss:0.461454+0.002425    test-mlogloss:0.538021+0.010256 
## [19] train-mlogloss:0.458739+0.002649    test-mlogloss:0.539063+0.010161 
## [20] train-mlogloss:0.456169+0.003035    test-mlogloss:0.539522+0.010118 
## [21] train-mlogloss:0.453450+0.002744    test-mlogloss:0.539798+0.010706 
## [22] train-mlogloss:0.450366+0.003577    test-mlogloss:0.540408+0.011159 
## [23] train-mlogloss:0.448092+0.002801    test-mlogloss:0.540513+0.011128 
## [24] train-mlogloss:0.445159+0.002593    test-mlogloss:0.541273+0.011032 
## [25] train-mlogloss:0.442580+0.002473    test-mlogloss:0.541773+0.010802 
## [26] train-mlogloss:0.440046+0.002914    test-mlogloss:0.541945+0.010910 
## [27] train-mlogloss:0.437369+0.001909    test-mlogloss:0.542456+0.010813 
## [28] train-mlogloss:0.434631+0.002777    test-mlogloss:0.543365+0.011004 
## [29] train-mlogloss:0.432874+0.002188    test-mlogloss:0.543537+0.010707 
## [30] train-mlogloss:0.430710+0.002158    test-mlogloss:0.544094+0.010833 
## [31] train-mlogloss:0.428335+0.002052    test-mlogloss:0.544740+0.010763 
## [32] train-mlogloss:0.426134+0.002745    test-mlogloss:0.545041+0.010697 
## [33] train-mlogloss:0.424098+0.002670    test-mlogloss:0.545324+0.010559 
## [34] train-mlogloss:0.421950+0.002606    test-mlogloss:0.545772+0.010384 
## [35] train-mlogloss:0.419656+0.002508    test-mlogloss:0.546037+0.011028 
## [36] train-mlogloss:0.417351+0.002879    test-mlogloss:0.546576+0.011516 
## [37] train-mlogloss:0.415465+0.002908    test-mlogloss:0.546830+0.011225 
## [38] train-mlogloss:0.412727+0.003082    test-mlogloss:0.547828+0.011028 
## [39] train-mlogloss:0.410959+0.003191    test-mlogloss:0.547835+0.010871 
## [40] train-mlogloss:0.408937+0.003528    test-mlogloss:0.548450+0.011389 
## [41] train-mlogloss:0.406591+0.003803    test-mlogloss:0.549217+0.012006 
## [42] train-mlogloss:0.404643+0.003911    test-mlogloss:0.549883+0.011914 
## [43] train-mlogloss:0.402165+0.004101    test-mlogloss:0.550475+0.011886 
## [44] train-mlogloss:0.400475+0.004303    test-mlogloss:0.551074+0.012017 
## [45] train-mlogloss:0.398224+0.004075    test-mlogloss:0.550892+0.011932 
## [46] train-mlogloss:0.396188+0.003527    test-mlogloss:0.551457+0.011824 
## [47] train-mlogloss:0.394120+0.003622    test-mlogloss:0.551741+0.011740 
## [48] train-mlogloss:0.392577+0.003824    test-mlogloss:0.552002+0.011775 
## [49] train-mlogloss:0.390739+0.003571    test-mlogloss:0.553104+0.011502 
## [50] train-mlogloss:0.388696+0.003415    test-mlogloss:0.553699+0.011499 
## [51] train-mlogloss:0.386655+0.003392    test-mlogloss:0.554128+0.011503 
## [52] train-mlogloss:0.384736+0.003612    test-mlogloss:0.554650+0.011847 
## [53] train-mlogloss:0.382991+0.003757    test-mlogloss:0.555405+0.012286 
## [54] train-mlogloss:0.381501+0.004044    test-mlogloss:0.556030+0.012726 
## [55] train-mlogloss:0.379462+0.003874    test-mlogloss:0.556353+0.012556 
## [56] train-mlogloss:0.377676+0.003939    test-mlogloss:0.556549+0.012781 
## [57] train-mlogloss:0.375575+0.003821    test-mlogloss:0.556943+0.012799 
## [58] train-mlogloss:0.373454+0.004493    test-mlogloss:0.557083+0.012901 
## [59] train-mlogloss:0.371843+0.004833    test-mlogloss:0.557835+0.013534 
## [60] train-mlogloss:0.369976+0.004809    test-mlogloss:0.558220+0.013250 
## [61] train-mlogloss:0.368207+0.004825    test-mlogloss:0.558654+0.013106 
## [62] train-mlogloss:0.366405+0.004613    test-mlogloss:0.559071+0.013231 
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## [456]    train-mlogloss:0.072741+0.001310    test-mlogloss:0.746975+0.028615 
## [457]    train-mlogloss:0.072446+0.001290    test-mlogloss:0.747299+0.028723 
## [458]    train-mlogloss:0.072196+0.001281    test-mlogloss:0.748031+0.028702 
## [459]    train-mlogloss:0.071947+0.001325    test-mlogloss:0.748418+0.028857 
## [460]    train-mlogloss:0.071697+0.001364    test-mlogloss:0.749006+0.029070 
## [461]    train-mlogloss:0.071489+0.001363    test-mlogloss:0.749577+0.028827 
## [462]    train-mlogloss:0.071288+0.001322    test-mlogloss:0.749860+0.028959 
## [463]    train-mlogloss:0.071061+0.001302    test-mlogloss:0.750390+0.029058 
## [464]    train-mlogloss:0.070828+0.001259    test-mlogloss:0.750780+0.028936 
## [465]    train-mlogloss:0.070631+0.001227    test-mlogloss:0.751274+0.028763 
## [466]    train-mlogloss:0.070444+0.001218    test-mlogloss:0.751185+0.028848 
## [467]    train-mlogloss:0.070233+0.001197    test-mlogloss:0.751674+0.028899 
## [468]    train-mlogloss:0.069987+0.001097    test-mlogloss:0.752241+0.028599 
## [469]    train-mlogloss:0.069721+0.001126    test-mlogloss:0.752598+0.028755 
## [470]    train-mlogloss:0.069494+0.001144    test-mlogloss:0.753017+0.028979 
## [471]    train-mlogloss:0.069201+0.001211    test-mlogloss:0.753584+0.028975 
## [472]    train-mlogloss:0.068977+0.001205    test-mlogloss:0.754346+0.028775 
## [473]    train-mlogloss:0.068751+0.001167    test-mlogloss:0.754870+0.028311 
## [474]    train-mlogloss:0.068520+0.001161    test-mlogloss:0.755350+0.028085 
## [475]    train-mlogloss:0.068303+0.001118    test-mlogloss:0.755549+0.028195 
## [476]    train-mlogloss:0.068063+0.001168    test-mlogloss:0.755964+0.028315 
## [477]    train-mlogloss:0.067832+0.001184    test-mlogloss:0.756275+0.028588 
## [478]    train-mlogloss:0.067633+0.001132    test-mlogloss:0.756632+0.028595 
## [479]    train-mlogloss:0.067453+0.001138    test-mlogloss:0.757369+0.028538 
## [480]    train-mlogloss:0.067231+0.001088    test-mlogloss:0.757702+0.028504 
## [481]    train-mlogloss:0.067060+0.001086    test-mlogloss:0.757880+0.028447 
## [482]    train-mlogloss:0.066833+0.001089    test-mlogloss:0.758364+0.028373 
## [483]    train-mlogloss:0.066702+0.001090    test-mlogloss:0.758868+0.028523 
## [484]    train-mlogloss:0.066487+0.001068    test-mlogloss:0.759042+0.028608 
## [485]    train-mlogloss:0.066351+0.001012    test-mlogloss:0.759210+0.028579 
## [486]    train-mlogloss:0.066128+0.001050    test-mlogloss:0.759688+0.028745 
## [487]    train-mlogloss:0.065945+0.001075    test-mlogloss:0.760114+0.028811 
## [488]    train-mlogloss:0.065680+0.001091    test-mlogloss:0.760681+0.029097 
## [489]    train-mlogloss:0.065487+0.001097    test-mlogloss:0.761375+0.029111 
## [490]    train-mlogloss:0.065268+0.001133    test-mlogloss:0.761768+0.028966 
## [491]    train-mlogloss:0.065034+0.001149    test-mlogloss:0.762364+0.028994 
## [492]    train-mlogloss:0.064792+0.001142    test-mlogloss:0.762785+0.029198 
## [493]    train-mlogloss:0.064630+0.001142    test-mlogloss:0.763326+0.029202 
## [494]    train-mlogloss:0.064424+0.001111    test-mlogloss:0.763734+0.029367 
## [495]    train-mlogloss:0.064252+0.001060    test-mlogloss:0.764050+0.029629 
## [496]    train-mlogloss:0.064082+0.001021    test-mlogloss:0.764366+0.029649 
## [497]    train-mlogloss:0.063894+0.001028    test-mlogloss:0.764714+0.029849 
## [498]    train-mlogloss:0.063730+0.001011    test-mlogloss:0.764797+0.029482 
## [499]    train-mlogloss:0.063587+0.000983    test-mlogloss:0.765216+0.029412 
## [500]    train-mlogloss:0.063421+0.001001    test-mlogloss:0.765824+0.029444 
## [1]  train-mlogloss:0.578852+0.001107    test-mlogloss:0.626880+0.002962 
## [2]  train-mlogloss:0.504568+0.001344    test-mlogloss:0.590562+0.004345 
## [3]  train-mlogloss:0.449311+0.001631    test-mlogloss:0.574147+0.007330 
## [4]  train-mlogloss:0.407025+0.001407    test-mlogloss:0.564636+0.008685 
## [5]  train-mlogloss:0.371690+0.001056    test-mlogloss:0.560573+0.009261 
## [6]  train-mlogloss:0.342494+0.001382    test-mlogloss:0.560397+0.009312 
## [7]  train-mlogloss:0.318001+0.001185    test-mlogloss:0.560672+0.009828 
## [8]  train-mlogloss:0.296614+0.001659    test-mlogloss:0.563629+0.009891 
## [9]  train-mlogloss:0.277964+0.002121    test-mlogloss:0.566454+0.010463 
## [10] train-mlogloss:0.261671+0.001898    test-mlogloss:0.569178+0.010812 
## [11] train-mlogloss:0.247492+0.002349    test-mlogloss:0.571997+0.011872 
## [12] train-mlogloss:0.236162+0.001820    test-mlogloss:0.575091+0.011276 
## [13] train-mlogloss:0.225539+0.001609    test-mlogloss:0.577238+0.011782 
## [14] train-mlogloss:0.216153+0.001730    test-mlogloss:0.581149+0.012201 
## [15] train-mlogloss:0.207994+0.001723    test-mlogloss:0.583596+0.012796 
## [16] train-mlogloss:0.200026+0.001735    test-mlogloss:0.586315+0.012035 
## [17] train-mlogloss:0.191726+0.002835    test-mlogloss:0.589829+0.012347 
## [18] train-mlogloss:0.185760+0.002876    test-mlogloss:0.591812+0.011957 
## [19] train-mlogloss:0.179468+0.001885    test-mlogloss:0.594802+0.012088 
## [20] train-mlogloss:0.172758+0.002563    test-mlogloss:0.597961+0.012916 
## [21] train-mlogloss:0.167046+0.002788    test-mlogloss:0.600706+0.014005 
## [22] train-mlogloss:0.161816+0.002240    test-mlogloss:0.602986+0.013986 
## [23] train-mlogloss:0.156523+0.002144    test-mlogloss:0.606273+0.013391 
## [24] train-mlogloss:0.151861+0.001765    test-mlogloss:0.608639+0.013067 
## [25] train-mlogloss:0.146711+0.001920    test-mlogloss:0.611317+0.013142 
## [26] train-mlogloss:0.141781+0.001909    test-mlogloss:0.614022+0.013381 
## [27] train-mlogloss:0.137487+0.002098    test-mlogloss:0.616614+0.013735 
## [28] train-mlogloss:0.133567+0.001715    test-mlogloss:0.618537+0.013740 
## [29] train-mlogloss:0.129467+0.001480    test-mlogloss:0.620659+0.014272 
## [30] train-mlogloss:0.125528+0.001404    test-mlogloss:0.623315+0.014456 
## [31] train-mlogloss:0.121977+0.001511    test-mlogloss:0.625503+0.014129 
## [32] train-mlogloss:0.118023+0.001183    test-mlogloss:0.628592+0.014834 
## [33] train-mlogloss:0.114441+0.001127    test-mlogloss:0.632069+0.014413 
## [34] train-mlogloss:0.111025+0.001001    test-mlogloss:0.634713+0.014173 
## [35] train-mlogloss:0.108021+0.000726    test-mlogloss:0.636984+0.014903 
## [36] train-mlogloss:0.104981+0.000953    test-mlogloss:0.640037+0.015753 
## [37] train-mlogloss:0.102324+0.000852    test-mlogloss:0.642309+0.015532 
## [38] train-mlogloss:0.100038+0.000970    test-mlogloss:0.643791+0.016358 
## [39] train-mlogloss:0.097478+0.000977    test-mlogloss:0.646451+0.015891 
## [40] train-mlogloss:0.094972+0.000895    test-mlogloss:0.648415+0.016104 
## [41] train-mlogloss:0.092960+0.000793    test-mlogloss:0.650394+0.016329 
## [42] train-mlogloss:0.090717+0.000684    test-mlogloss:0.652102+0.016096 
## [43] train-mlogloss:0.088657+0.000715    test-mlogloss:0.654537+0.017064 
## [44] train-mlogloss:0.086571+0.000700    test-mlogloss:0.656796+0.016680 
## [45] train-mlogloss:0.084658+0.000737    test-mlogloss:0.659456+0.016310 
## [46] train-mlogloss:0.082875+0.000910    test-mlogloss:0.661319+0.016099 
## [47] train-mlogloss:0.081145+0.000924    test-mlogloss:0.663331+0.016602 
## [48] train-mlogloss:0.079383+0.000759    test-mlogloss:0.665763+0.016837 
## [49] train-mlogloss:0.077688+0.000767    test-mlogloss:0.667660+0.016935 
## [50] train-mlogloss:0.076254+0.001030    test-mlogloss:0.669035+0.016795 
## [51] train-mlogloss:0.074765+0.001042    test-mlogloss:0.671352+0.016875 
## [52] train-mlogloss:0.073241+0.001006    test-mlogloss:0.672863+0.017334 
## [53] train-mlogloss:0.071823+0.000965    test-mlogloss:0.674963+0.017329 
## [54] train-mlogloss:0.070550+0.000868    test-mlogloss:0.677219+0.017570 
## [55] train-mlogloss:0.069260+0.000801    test-mlogloss:0.678871+0.017113 
## [56] train-mlogloss:0.067950+0.000762    test-mlogloss:0.680611+0.017213 
## [57] train-mlogloss:0.066793+0.000700    test-mlogloss:0.682235+0.017109 
## [58] train-mlogloss:0.065636+0.000705    test-mlogloss:0.683507+0.016932 
## [59] train-mlogloss:0.064455+0.000684    test-mlogloss:0.684799+0.017020 
## [60] train-mlogloss:0.063313+0.000701    test-mlogloss:0.686668+0.017134 
## [61] train-mlogloss:0.062235+0.000708    test-mlogloss:0.688519+0.017198 
## [62] train-mlogloss:0.061217+0.000705    test-mlogloss:0.690050+0.017069 
## [63] train-mlogloss:0.060236+0.000776    test-mlogloss:0.691645+0.017274 
## [64] train-mlogloss:0.059301+0.000734    test-mlogloss:0.693644+0.016995 
## [65] train-mlogloss:0.058412+0.000688    test-mlogloss:0.695163+0.017645 
## [66] train-mlogloss:0.057509+0.000719    test-mlogloss:0.695946+0.017767 
## [67] train-mlogloss:0.056630+0.000681    test-mlogloss:0.697529+0.018109 
## [68] train-mlogloss:0.055815+0.000678    test-mlogloss:0.699527+0.018207 
## [69] train-mlogloss:0.054959+0.000636    test-mlogloss:0.701311+0.018083 
## [70] train-mlogloss:0.054139+0.000587    test-mlogloss:0.702702+0.018395 
## [71] train-mlogloss:0.053346+0.000584    test-mlogloss:0.704243+0.017881 
## [72] train-mlogloss:0.052674+0.000582    test-mlogloss:0.705418+0.018194 
## [73] train-mlogloss:0.051999+0.000562    test-mlogloss:0.707448+0.018521 
## [74] train-mlogloss:0.051327+0.000586    test-mlogloss:0.708587+0.018446 
## [75] train-mlogloss:0.050673+0.000528    test-mlogloss:0.709981+0.018656 
## [76] train-mlogloss:0.050013+0.000547    test-mlogloss:0.711286+0.018385 
## [77] train-mlogloss:0.049329+0.000506    test-mlogloss:0.712814+0.017853 
## [78] train-mlogloss:0.048722+0.000474    test-mlogloss:0.713992+0.017994 
## [79] train-mlogloss:0.048124+0.000466    test-mlogloss:0.715924+0.017612 
## [80] train-mlogloss:0.047508+0.000464    test-mlogloss:0.717176+0.017255 
## [81] train-mlogloss:0.046937+0.000471    test-mlogloss:0.718396+0.017551 
## [82] train-mlogloss:0.046366+0.000425    test-mlogloss:0.720071+0.017597 
## [83] train-mlogloss:0.045827+0.000415    test-mlogloss:0.721712+0.018407 
## [84] train-mlogloss:0.045295+0.000403    test-mlogloss:0.723204+0.018909 
## [85] train-mlogloss:0.044797+0.000398    test-mlogloss:0.724010+0.018840 
## [86] train-mlogloss:0.044293+0.000397    test-mlogloss:0.725324+0.019333 
## [87] train-mlogloss:0.043813+0.000433    test-mlogloss:0.726543+0.019438 
## [88] train-mlogloss:0.043339+0.000475    test-mlogloss:0.728036+0.019290 
## [89] train-mlogloss:0.042864+0.000479    test-mlogloss:0.728956+0.019537 
## [90] train-mlogloss:0.042433+0.000471    test-mlogloss:0.729927+0.019653 
## [91] train-mlogloss:0.041996+0.000498    test-mlogloss:0.731353+0.019343 
## [92] train-mlogloss:0.041537+0.000498    test-mlogloss:0.732210+0.019362 
## [93] train-mlogloss:0.041109+0.000494    test-mlogloss:0.733571+0.019548 
## [94] train-mlogloss:0.040668+0.000497    test-mlogloss:0.734762+0.019242 
## [95] train-mlogloss:0.040255+0.000493    test-mlogloss:0.736052+0.018954 
## [96] train-mlogloss:0.039843+0.000481    test-mlogloss:0.737254+0.019080 
## [97] train-mlogloss:0.039456+0.000463    test-mlogloss:0.738193+0.018939 
## [98] train-mlogloss:0.039060+0.000452    test-mlogloss:0.739940+0.018823 
## [99] train-mlogloss:0.038700+0.000438    test-mlogloss:0.740810+0.018219 
## [100]    train-mlogloss:0.038338+0.000434    test-mlogloss:0.741371+0.018541 
## [101]    train-mlogloss:0.037973+0.000409    test-mlogloss:0.742672+0.018552 
## [102]    train-mlogloss:0.037622+0.000406    test-mlogloss:0.743887+0.018377 
## [103]    train-mlogloss:0.037266+0.000404    test-mlogloss:0.745019+0.018170 
## [104]    train-mlogloss:0.036941+0.000397    test-mlogloss:0.746208+0.018116 
## [105]    train-mlogloss:0.036615+0.000376    test-mlogloss:0.747138+0.018528 
## [106]    train-mlogloss:0.036303+0.000371    test-mlogloss:0.748121+0.018541 
## [107]    train-mlogloss:0.036000+0.000370    test-mlogloss:0.749348+0.018748 
## [108]    train-mlogloss:0.035690+0.000384    test-mlogloss:0.749860+0.019001 
## [109]    train-mlogloss:0.035389+0.000373    test-mlogloss:0.750610+0.019071 
## [110]    train-mlogloss:0.035101+0.000373    test-mlogloss:0.751776+0.019234 
## [111]    train-mlogloss:0.034795+0.000376    test-mlogloss:0.752837+0.019159 
## [112]    train-mlogloss:0.034508+0.000367    test-mlogloss:0.753421+0.019069 
## [113]    train-mlogloss:0.034217+0.000364    test-mlogloss:0.754386+0.019112 
## [114]    train-mlogloss:0.033948+0.000352    test-mlogloss:0.755472+0.018897 
## [115]    train-mlogloss:0.033673+0.000331    test-mlogloss:0.756327+0.018853 
## [116]    train-mlogloss:0.033406+0.000326    test-mlogloss:0.757507+0.018700 
## [117]    train-mlogloss:0.033156+0.000308    test-mlogloss:0.758528+0.018550 
## [118]    train-mlogloss:0.032909+0.000290    test-mlogloss:0.759717+0.018385 
## [119]    train-mlogloss:0.032669+0.000297    test-mlogloss:0.760268+0.018528 
## [120]    train-mlogloss:0.032415+0.000285    test-mlogloss:0.761368+0.018846 
## [121]    train-mlogloss:0.032172+0.000277    test-mlogloss:0.762454+0.019157 
## [122]    train-mlogloss:0.031936+0.000268    test-mlogloss:0.763425+0.019162 
## [123]    train-mlogloss:0.031702+0.000267    test-mlogloss:0.764442+0.018964 
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## [126]    train-mlogloss:0.031005+0.000274    test-mlogloss:0.767043+0.019699 
## [127]    train-mlogloss:0.030792+0.000276    test-mlogloss:0.768052+0.019448 
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## [129]    train-mlogloss:0.030375+0.000262    test-mlogloss:0.769758+0.019535 
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## [368]    train-mlogloss:0.013221+0.000104    test-mlogloss:0.890894+0.023919 
## [369]    train-mlogloss:0.013196+0.000101    test-mlogloss:0.891113+0.023862 
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## [380]    train-mlogloss:0.012925+0.000095    test-mlogloss:0.894222+0.023172 
## [381]    train-mlogloss:0.012903+0.000096    test-mlogloss:0.894416+0.022971 
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## [393]    train-mlogloss:0.012626+0.000094    test-mlogloss:0.898365+0.023071 
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## [396]    train-mlogloss:0.012559+0.000094    test-mlogloss:0.899338+0.023287 
## [397]    train-mlogloss:0.012537+0.000095    test-mlogloss:0.899735+0.023341 
## [398]    train-mlogloss:0.012517+0.000093    test-mlogloss:0.900110+0.023431 
## [399]    train-mlogloss:0.012493+0.000092    test-mlogloss:0.900316+0.023365 
## [400]    train-mlogloss:0.012470+0.000093    test-mlogloss:0.900490+0.023585 
## [401]    train-mlogloss:0.012449+0.000094    test-mlogloss:0.900774+0.023639 
## [402]    train-mlogloss:0.012428+0.000094    test-mlogloss:0.900922+0.023554 
## [403]    train-mlogloss:0.012405+0.000094    test-mlogloss:0.901168+0.023492 
## [404]    train-mlogloss:0.012382+0.000094    test-mlogloss:0.901442+0.023474 
## [405]    train-mlogloss:0.012363+0.000093    test-mlogloss:0.902025+0.023590 
## [406]    train-mlogloss:0.012341+0.000095    test-mlogloss:0.902500+0.023730 
## [407]    train-mlogloss:0.012319+0.000093    test-mlogloss:0.902946+0.023308 
## [408]    train-mlogloss:0.012299+0.000092    test-mlogloss:0.903095+0.023358 
## [409]    train-mlogloss:0.012278+0.000094    test-mlogloss:0.903407+0.023542 
## [410]    train-mlogloss:0.012257+0.000094    test-mlogloss:0.903774+0.023429 
## [411]    train-mlogloss:0.012235+0.000093    test-mlogloss:0.904253+0.023473 
## [412]    train-mlogloss:0.012217+0.000093    test-mlogloss:0.904386+0.023367 
## [413]    train-mlogloss:0.012196+0.000093    test-mlogloss:0.904635+0.023484 
## [414]    train-mlogloss:0.012174+0.000093    test-mlogloss:0.904787+0.023274 
## [415]    train-mlogloss:0.012154+0.000092    test-mlogloss:0.905263+0.023310 
## [416]    train-mlogloss:0.012134+0.000092    test-mlogloss:0.905525+0.023182 
## [417]    train-mlogloss:0.012116+0.000093    test-mlogloss:0.905854+0.023481 
## [418]    train-mlogloss:0.012097+0.000093    test-mlogloss:0.906018+0.023404 
## [419]    train-mlogloss:0.012078+0.000093    test-mlogloss:0.906349+0.023578 
## [420]    train-mlogloss:0.012059+0.000093    test-mlogloss:0.906311+0.023374 
## [421]    train-mlogloss:0.012038+0.000092    test-mlogloss:0.906430+0.023401 
## [422]    train-mlogloss:0.012018+0.000090    test-mlogloss:0.906463+0.023227 
## [423]    train-mlogloss:0.012000+0.000089    test-mlogloss:0.906671+0.023012 
## [424]    train-mlogloss:0.011980+0.000090    test-mlogloss:0.907123+0.023091 
## [425]    train-mlogloss:0.011963+0.000089    test-mlogloss:0.907708+0.023133 
## [426]    train-mlogloss:0.011943+0.000089    test-mlogloss:0.908051+0.023384 
## [427]    train-mlogloss:0.011925+0.000089    test-mlogloss:0.908112+0.023319 
## [428]    train-mlogloss:0.011906+0.000088    test-mlogloss:0.908388+0.023362 
## [429]    train-mlogloss:0.011887+0.000088    test-mlogloss:0.908810+0.023261 
## [430]    train-mlogloss:0.011869+0.000086    test-mlogloss:0.908998+0.023173 
## [431]    train-mlogloss:0.011850+0.000084    test-mlogloss:0.909218+0.023270 
## [432]    train-mlogloss:0.011832+0.000085    test-mlogloss:0.909434+0.022962 
## [433]    train-mlogloss:0.011814+0.000084    test-mlogloss:0.909781+0.023222 
## [434]    train-mlogloss:0.011796+0.000083    test-mlogloss:0.910087+0.023249 
## [435]    train-mlogloss:0.011778+0.000083    test-mlogloss:0.910385+0.023169 
## [436]    train-mlogloss:0.011760+0.000083    test-mlogloss:0.910711+0.023320 
## [437]    train-mlogloss:0.011741+0.000083    test-mlogloss:0.911018+0.023402 
## [438]    train-mlogloss:0.011723+0.000084    test-mlogloss:0.911184+0.023263 
## [439]    train-mlogloss:0.011706+0.000082    test-mlogloss:0.911297+0.023426 
## [440]    train-mlogloss:0.011687+0.000082    test-mlogloss:0.911580+0.023541 
## [441]    train-mlogloss:0.011668+0.000082    test-mlogloss:0.911632+0.023477 
## [442]    train-mlogloss:0.011650+0.000081    test-mlogloss:0.911944+0.023576 
## [443]    train-mlogloss:0.011629+0.000081    test-mlogloss:0.912323+0.023687 
## [444]    train-mlogloss:0.011611+0.000081    test-mlogloss:0.912740+0.023832 
## [445]    train-mlogloss:0.011592+0.000082    test-mlogloss:0.913040+0.023972 
## [446]    train-mlogloss:0.011576+0.000081    test-mlogloss:0.913279+0.024006 
## [447]    train-mlogloss:0.011558+0.000081    test-mlogloss:0.913609+0.023900 
## [448]    train-mlogloss:0.011543+0.000082    test-mlogloss:0.913787+0.023769 
## [449]    train-mlogloss:0.011525+0.000082    test-mlogloss:0.914145+0.023891 
## [450]    train-mlogloss:0.011509+0.000081    test-mlogloss:0.914224+0.024014 
## [451]    train-mlogloss:0.011491+0.000081    test-mlogloss:0.914336+0.024342 
## [452]    train-mlogloss:0.011473+0.000081    test-mlogloss:0.914575+0.024260 
## [453]    train-mlogloss:0.011457+0.000081    test-mlogloss:0.914487+0.024161 
## [454]    train-mlogloss:0.011439+0.000078    test-mlogloss:0.914613+0.024392 
## [455]    train-mlogloss:0.011420+0.000080    test-mlogloss:0.914834+0.024419 
## [456]    train-mlogloss:0.011402+0.000078    test-mlogloss:0.915056+0.024438 
## [457]    train-mlogloss:0.011385+0.000079    test-mlogloss:0.915462+0.024515 
## [458]    train-mlogloss:0.011367+0.000077    test-mlogloss:0.915442+0.024701 
## [459]    train-mlogloss:0.011348+0.000078    test-mlogloss:0.915501+0.024790 
## [460]    train-mlogloss:0.011331+0.000077    test-mlogloss:0.915752+0.024631 
## [461]    train-mlogloss:0.011315+0.000077    test-mlogloss:0.916208+0.024317 
## [462]    train-mlogloss:0.011299+0.000077    test-mlogloss:0.916375+0.024120 
## [463]    train-mlogloss:0.011283+0.000077    test-mlogloss:0.916804+0.023952 
## [464]    train-mlogloss:0.011268+0.000078    test-mlogloss:0.916760+0.023890 
## [465]    train-mlogloss:0.011253+0.000077    test-mlogloss:0.916804+0.023984 
## [466]    train-mlogloss:0.011235+0.000077    test-mlogloss:0.917367+0.024226 
## [467]    train-mlogloss:0.011218+0.000077    test-mlogloss:0.917723+0.024461 
## [468]    train-mlogloss:0.011201+0.000077    test-mlogloss:0.917809+0.024299 
## [469]    train-mlogloss:0.011185+0.000077    test-mlogloss:0.917975+0.024368 
## [470]    train-mlogloss:0.011168+0.000078    test-mlogloss:0.918233+0.024623 
## [471]    train-mlogloss:0.011152+0.000079    test-mlogloss:0.918774+0.024997 
## [472]    train-mlogloss:0.011135+0.000079    test-mlogloss:0.919069+0.025068 
## [473]    train-mlogloss:0.011121+0.000079    test-mlogloss:0.919540+0.025124 
## [474]    train-mlogloss:0.011105+0.000080    test-mlogloss:0.919896+0.024972 
## [475]    train-mlogloss:0.011089+0.000081    test-mlogloss:0.920226+0.024933 
## [476]    train-mlogloss:0.011074+0.000082    test-mlogloss:0.920101+0.024789 
## [477]    train-mlogloss:0.011058+0.000083    test-mlogloss:0.920395+0.024645 
## [478]    train-mlogloss:0.011044+0.000083    test-mlogloss:0.920556+0.024850 
## [479]    train-mlogloss:0.011030+0.000082    test-mlogloss:0.920879+0.024866 
## [480]    train-mlogloss:0.011013+0.000081    test-mlogloss:0.921006+0.024993 
## [481]    train-mlogloss:0.010998+0.000081    test-mlogloss:0.921240+0.024908 
## [482]    train-mlogloss:0.010982+0.000080    test-mlogloss:0.921441+0.024855 
## [483]    train-mlogloss:0.010965+0.000080    test-mlogloss:0.921613+0.024702 
## [484]    train-mlogloss:0.010951+0.000080    test-mlogloss:0.921786+0.024576 
## [485]    train-mlogloss:0.010935+0.000080    test-mlogloss:0.921914+0.024567 
## [486]    train-mlogloss:0.010919+0.000080    test-mlogloss:0.921835+0.024640 
## [487]    train-mlogloss:0.010904+0.000079    test-mlogloss:0.921952+0.024606 
## [488]    train-mlogloss:0.010889+0.000077    test-mlogloss:0.922112+0.024789 
## [489]    train-mlogloss:0.010874+0.000077    test-mlogloss:0.922367+0.024779 
## [490]    train-mlogloss:0.010860+0.000076    test-mlogloss:0.922934+0.024727 
## [491]    train-mlogloss:0.010845+0.000075    test-mlogloss:0.923224+0.024677 
## [492]    train-mlogloss:0.010830+0.000074    test-mlogloss:0.923586+0.024808 
## [493]    train-mlogloss:0.010816+0.000074    test-mlogloss:0.923743+0.024643 
## [494]    train-mlogloss:0.010799+0.000073    test-mlogloss:0.924182+0.024740 
## [495]    train-mlogloss:0.010784+0.000073    test-mlogloss:0.924629+0.024835 
## [496]    train-mlogloss:0.010768+0.000073    test-mlogloss:0.924780+0.024892 
## [497]    train-mlogloss:0.010753+0.000073    test-mlogloss:0.925003+0.025075 
## [498]    train-mlogloss:0.010740+0.000073    test-mlogloss:0.925371+0.025283 
## [499]    train-mlogloss:0.010726+0.000072    test-mlogloss:0.925450+0.025424 
## [500]    train-mlogloss:0.010711+0.000071    test-mlogloss:0.925666+0.025374 
## [1]  train-mlogloss:0.537629+0.001325    test-mlogloss:0.556141+0.002744 
## [2]  train-mlogloss:0.507639+0.001720    test-mlogloss:0.541247+0.005085 
## [3]  train-mlogloss:0.494123+0.002795    test-mlogloss:0.541599+0.006586 
## [4]  train-mlogloss:0.486714+0.002382    test-mlogloss:0.542402+0.007856 
## [5]  train-mlogloss:0.477648+0.002729    test-mlogloss:0.546417+0.007594 
## [6]  train-mlogloss:0.470808+0.003181    test-mlogloss:0.550398+0.008624 
## [7]  train-mlogloss:0.463556+0.003826    test-mlogloss:0.553241+0.008936 
## [8]  train-mlogloss:0.457505+0.003210    test-mlogloss:0.555380+0.009655 
## [9]  train-mlogloss:0.450981+0.004346    test-mlogloss:0.557632+0.008767 
## [10] train-mlogloss:0.444814+0.003089    test-mlogloss:0.558556+0.010529 
## [11] train-mlogloss:0.438617+0.004283    test-mlogloss:0.561609+0.009458 
## [12] train-mlogloss:0.432440+0.005629    test-mlogloss:0.563468+0.010052 
## [13] train-mlogloss:0.426029+0.004813    test-mlogloss:0.566905+0.009514 
## [14] train-mlogloss:0.422205+0.004704    test-mlogloss:0.569346+0.011074 
## [15] train-mlogloss:0.415540+0.005125    test-mlogloss:0.572098+0.011244 
## [16] train-mlogloss:0.409932+0.004782    test-mlogloss:0.573374+0.010931 
## [17] train-mlogloss:0.402594+0.005686    test-mlogloss:0.574840+0.010844 
## [18] train-mlogloss:0.396893+0.002943    test-mlogloss:0.575585+0.011744 
## [19] train-mlogloss:0.392588+0.002778    test-mlogloss:0.576815+0.012457 
## [20] train-mlogloss:0.387423+0.003147    test-mlogloss:0.579131+0.012560 
## [21] train-mlogloss:0.382522+0.002863    test-mlogloss:0.582900+0.013960 
## [22] train-mlogloss:0.378489+0.003732    test-mlogloss:0.587436+0.014960 
## [23] train-mlogloss:0.372229+0.004082    test-mlogloss:0.590635+0.016477 
## [24] train-mlogloss:0.366809+0.003497    test-mlogloss:0.594071+0.016523 
## [25] train-mlogloss:0.361349+0.003334    test-mlogloss:0.596283+0.016143 
## [26] train-mlogloss:0.355769+0.003383    test-mlogloss:0.599032+0.015972 
## [27] train-mlogloss:0.350425+0.002871    test-mlogloss:0.600822+0.016725 
## [28] train-mlogloss:0.346113+0.003261    test-mlogloss:0.603503+0.017056 
## [29] train-mlogloss:0.340555+0.003264    test-mlogloss:0.604686+0.015215 
## [30] train-mlogloss:0.336074+0.002717    test-mlogloss:0.606453+0.015188 
## [31] train-mlogloss:0.330753+0.003620    test-mlogloss:0.610027+0.014864 
## [32] train-mlogloss:0.326475+0.003715    test-mlogloss:0.613177+0.016272 
## [33] train-mlogloss:0.321704+0.003413    test-mlogloss:0.615972+0.014955 
## [34] train-mlogloss:0.317772+0.004283    test-mlogloss:0.617748+0.014995 
## [35] train-mlogloss:0.314239+0.003973    test-mlogloss:0.619825+0.015487 
## [36] train-mlogloss:0.310651+0.004768    test-mlogloss:0.621706+0.015389 
## [37] train-mlogloss:0.306012+0.005350    test-mlogloss:0.625450+0.015123 
## [38] train-mlogloss:0.301225+0.004866    test-mlogloss:0.628961+0.014860 
## [39] train-mlogloss:0.297680+0.004676    test-mlogloss:0.629947+0.014264 
## [40] train-mlogloss:0.294832+0.005014    test-mlogloss:0.631944+0.014649 
## [41] train-mlogloss:0.291005+0.004636    test-mlogloss:0.633265+0.014059 
## [42] train-mlogloss:0.287162+0.004384    test-mlogloss:0.635616+0.015605 
## [43] train-mlogloss:0.283835+0.004234    test-mlogloss:0.637550+0.014395 
## [44] train-mlogloss:0.279525+0.003696    test-mlogloss:0.639977+0.013247 
## [45] train-mlogloss:0.275920+0.004878    test-mlogloss:0.642108+0.014213 
## [46] train-mlogloss:0.272148+0.004732    test-mlogloss:0.643369+0.014060 
## [47] train-mlogloss:0.269209+0.004102    test-mlogloss:0.644730+0.014500 
## [48] train-mlogloss:0.266598+0.004249    test-mlogloss:0.645884+0.015037 
## [49] train-mlogloss:0.262938+0.004496    test-mlogloss:0.647868+0.016185 
## [50] train-mlogloss:0.259915+0.004357    test-mlogloss:0.651401+0.015317 
## [51] train-mlogloss:0.256929+0.004093    test-mlogloss:0.652859+0.016173 
## [52] train-mlogloss:0.254340+0.003633    test-mlogloss:0.653411+0.017185 
## [53] train-mlogloss:0.251117+0.003100    test-mlogloss:0.654515+0.016061 
## [54] train-mlogloss:0.247927+0.002503    test-mlogloss:0.655916+0.015109 
## [55] train-mlogloss:0.245166+0.002087    test-mlogloss:0.656912+0.015684 
## [56] train-mlogloss:0.241793+0.002381    test-mlogloss:0.658809+0.015651 
## [57] train-mlogloss:0.238797+0.002245    test-mlogloss:0.660974+0.016834 
## [58] train-mlogloss:0.235504+0.002537    test-mlogloss:0.662445+0.017083 
## [59] train-mlogloss:0.232339+0.002535    test-mlogloss:0.664368+0.017262 
## [60] train-mlogloss:0.229415+0.002676    test-mlogloss:0.665335+0.017606 
## [61] train-mlogloss:0.226870+0.002242    test-mlogloss:0.666992+0.016205 
## [62] train-mlogloss:0.224044+0.002483    test-mlogloss:0.671271+0.014134 
## [63] train-mlogloss:0.221587+0.002767    test-mlogloss:0.672927+0.013583 
## [64] train-mlogloss:0.218443+0.002784    test-mlogloss:0.673931+0.014013 
## [65] train-mlogloss:0.215850+0.002714    test-mlogloss:0.675669+0.013672 
## [66] train-mlogloss:0.212908+0.002440    test-mlogloss:0.677075+0.013181 
## [67] train-mlogloss:0.210655+0.002628    test-mlogloss:0.677728+0.013037 
## [68] train-mlogloss:0.208352+0.002441    test-mlogloss:0.679881+0.014366 
## [69] train-mlogloss:0.205531+0.002220    test-mlogloss:0.680991+0.014379 
## [70] train-mlogloss:0.203144+0.002161    test-mlogloss:0.682191+0.013615 
## [71] train-mlogloss:0.201046+0.002027    test-mlogloss:0.683884+0.014325 
## [72] train-mlogloss:0.198907+0.002128    test-mlogloss:0.685164+0.015829 
## [73] train-mlogloss:0.196455+0.003018    test-mlogloss:0.687506+0.016349 
## [74] train-mlogloss:0.194280+0.003801    test-mlogloss:0.689484+0.017307 
## [75] train-mlogloss:0.192102+0.004033    test-mlogloss:0.691333+0.017939 
## [76] train-mlogloss:0.190132+0.003675    test-mlogloss:0.692398+0.018799 
## [77] train-mlogloss:0.188762+0.004018    test-mlogloss:0.693693+0.018021 
## [78] train-mlogloss:0.186971+0.003741    test-mlogloss:0.694328+0.018099 
## [79] train-mlogloss:0.184688+0.003846    test-mlogloss:0.695801+0.020036 
## [80] train-mlogloss:0.182083+0.003819    test-mlogloss:0.699114+0.019995 
## [81] train-mlogloss:0.180022+0.003613    test-mlogloss:0.699005+0.021063 
## [82] train-mlogloss:0.177612+0.003225    test-mlogloss:0.699832+0.020736 
## [83] train-mlogloss:0.175229+0.002970    test-mlogloss:0.701345+0.020755 
## [84] train-mlogloss:0.173392+0.002864    test-mlogloss:0.702271+0.020886 
## [85] train-mlogloss:0.171297+0.002867    test-mlogloss:0.702980+0.020796 
## [86] train-mlogloss:0.168989+0.002757    test-mlogloss:0.704866+0.021118 
## [87] train-mlogloss:0.167089+0.002958    test-mlogloss:0.706906+0.020362 
## [88] train-mlogloss:0.165131+0.003052    test-mlogloss:0.708200+0.020080 
## [89] train-mlogloss:0.163262+0.002852    test-mlogloss:0.710514+0.020656 
## [90] train-mlogloss:0.160872+0.002793    test-mlogloss:0.712522+0.020975 
## [91] train-mlogloss:0.158749+0.002762    test-mlogloss:0.713516+0.022988 
## [92] train-mlogloss:0.156891+0.002594    test-mlogloss:0.714345+0.023501 
## [93] train-mlogloss:0.155400+0.002654    test-mlogloss:0.716196+0.023537 
## [94] train-mlogloss:0.153224+0.002538    test-mlogloss:0.717334+0.023970 
## [95] train-mlogloss:0.151279+0.002231    test-mlogloss:0.719488+0.023451 
## [96] train-mlogloss:0.149513+0.002434    test-mlogloss:0.721320+0.023288 
## [97] train-mlogloss:0.147785+0.002439    test-mlogloss:0.723538+0.023012 
## [98] train-mlogloss:0.146134+0.002142    test-mlogloss:0.725421+0.023480 
## [99] train-mlogloss:0.144515+0.002607    test-mlogloss:0.727087+0.023986 
## [100]    train-mlogloss:0.142790+0.003092    test-mlogloss:0.728609+0.024667 
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## [103]    train-mlogloss:0.138344+0.003649    test-mlogloss:0.734084+0.026889 
## [104]    train-mlogloss:0.136809+0.003674    test-mlogloss:0.735648+0.027599 
## [105]    train-mlogloss:0.135158+0.004105    test-mlogloss:0.736501+0.028343 
## [106]    train-mlogloss:0.133941+0.003745    test-mlogloss:0.738856+0.028276 
## [107]    train-mlogloss:0.132289+0.003671    test-mlogloss:0.740734+0.028046 
## [108]    train-mlogloss:0.130777+0.003562    test-mlogloss:0.740770+0.026978 
## [109]    train-mlogloss:0.129308+0.003515    test-mlogloss:0.742456+0.026223 
## [110]    train-mlogloss:0.127983+0.003467    test-mlogloss:0.744904+0.027324 
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## [112]    train-mlogloss:0.125339+0.002878    test-mlogloss:0.747923+0.026901 
## [113]    train-mlogloss:0.124065+0.002917    test-mlogloss:0.749217+0.026489 
## [114]    train-mlogloss:0.122548+0.002819    test-mlogloss:0.752244+0.027016 
## [115]    train-mlogloss:0.121171+0.002753    test-mlogloss:0.753447+0.026634 
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## [118]    train-mlogloss:0.117215+0.002575    test-mlogloss:0.758744+0.025426 
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## [126]    train-mlogloss:0.108330+0.002935    test-mlogloss:0.768411+0.030576 
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## [482]    train-mlogloss:0.014233+0.000287    test-mlogloss:1.075039+0.037016 
## [483]    train-mlogloss:0.014194+0.000281    test-mlogloss:1.074753+0.037424 
## [484]    train-mlogloss:0.014156+0.000283    test-mlogloss:1.075617+0.036608 
## [485]    train-mlogloss:0.014107+0.000281    test-mlogloss:1.076917+0.037061 
## [486]    train-mlogloss:0.014062+0.000277    test-mlogloss:1.077393+0.037046 
## [487]    train-mlogloss:0.014036+0.000267    test-mlogloss:1.077901+0.036841 
## [488]    train-mlogloss:0.014008+0.000268    test-mlogloss:1.077913+0.036449 
## [489]    train-mlogloss:0.013967+0.000256    test-mlogloss:1.078525+0.036398 
## [490]    train-mlogloss:0.013937+0.000256    test-mlogloss:1.078596+0.035862 
## [491]    train-mlogloss:0.013911+0.000256    test-mlogloss:1.079298+0.035899 
## [492]    train-mlogloss:0.013868+0.000261    test-mlogloss:1.080306+0.036585 
## [493]    train-mlogloss:0.013832+0.000261    test-mlogloss:1.080912+0.036671 
## [494]    train-mlogloss:0.013793+0.000264    test-mlogloss:1.080924+0.036378 
## [495]    train-mlogloss:0.013756+0.000269    test-mlogloss:1.081071+0.036124 
## [496]    train-mlogloss:0.013713+0.000262    test-mlogloss:1.081592+0.036008 
## [497]    train-mlogloss:0.013679+0.000256    test-mlogloss:1.082114+0.035686 
## [498]    train-mlogloss:0.013640+0.000259    test-mlogloss:1.081763+0.036211 
## [499]    train-mlogloss:0.013605+0.000258    test-mlogloss:1.082117+0.036335 
## [500]    train-mlogloss:0.013557+0.000255    test-mlogloss:1.082861+0.036499 
## [1]  train-mlogloss:0.459219+0.003990    test-mlogloss:0.584738+0.013464 
## [2]  train-mlogloss:0.364473+0.003973    test-mlogloss:0.589873+0.018629 
## [3]  train-mlogloss:0.303579+0.003246    test-mlogloss:0.603108+0.022444 
## [4]  train-mlogloss:0.259875+0.002736    test-mlogloss:0.621315+0.025691 
## [5]  train-mlogloss:0.227816+0.004240    test-mlogloss:0.632523+0.029973 
## [6]  train-mlogloss:0.203300+0.004364    test-mlogloss:0.645568+0.029197 
## [7]  train-mlogloss:0.181884+0.002949    test-mlogloss:0.657233+0.029692 
## [8]  train-mlogloss:0.162772+0.003063    test-mlogloss:0.668676+0.031585 
## [9]  train-mlogloss:0.147204+0.003276    test-mlogloss:0.679432+0.032935 
## [10] train-mlogloss:0.135196+0.003539    test-mlogloss:0.688552+0.035552 
## [11] train-mlogloss:0.123558+0.002318    test-mlogloss:0.698334+0.038718 
## [12] train-mlogloss:0.114335+0.002533    test-mlogloss:0.704970+0.040919 
## [13] train-mlogloss:0.105293+0.002228    test-mlogloss:0.713488+0.045516 
## [14] train-mlogloss:0.097948+0.001983    test-mlogloss:0.721135+0.045419 
## [15] train-mlogloss:0.091989+0.001422    test-mlogloss:0.729413+0.046112 
## [16] train-mlogloss:0.086446+0.001570    test-mlogloss:0.736869+0.045893 
## [17] train-mlogloss:0.081320+0.001343    test-mlogloss:0.743013+0.046649 
## [18] train-mlogloss:0.076761+0.001195    test-mlogloss:0.749098+0.047097 
## [19] train-mlogloss:0.072567+0.001025    test-mlogloss:0.755307+0.049100 
## [20] train-mlogloss:0.068876+0.001216    test-mlogloss:0.760176+0.050993 
## [21] train-mlogloss:0.065541+0.001235    test-mlogloss:0.764780+0.051518 
## [22] train-mlogloss:0.062523+0.001253    test-mlogloss:0.769518+0.051209 
## [23] train-mlogloss:0.059867+0.001206    test-mlogloss:0.773113+0.051839 
## [24] train-mlogloss:0.057229+0.000958    test-mlogloss:0.778122+0.053327 
## [25] train-mlogloss:0.054912+0.000934    test-mlogloss:0.783489+0.052108 
## [26] train-mlogloss:0.052721+0.000833    test-mlogloss:0.788122+0.051597 
## [27] train-mlogloss:0.050758+0.000805    test-mlogloss:0.791930+0.050797 
## [28] train-mlogloss:0.048906+0.000721    test-mlogloss:0.797547+0.050816 
## [29] train-mlogloss:0.047200+0.000778    test-mlogloss:0.801613+0.051601 
## [30] train-mlogloss:0.045685+0.000736    test-mlogloss:0.805812+0.050677 
## [31] train-mlogloss:0.044259+0.000693    test-mlogloss:0.810585+0.052222 
## [32] train-mlogloss:0.042909+0.000687    test-mlogloss:0.814148+0.051972 
## [33] train-mlogloss:0.041664+0.000659    test-mlogloss:0.817824+0.050242 
## [34] train-mlogloss:0.040468+0.000597    test-mlogloss:0.820515+0.050775 
## [35] train-mlogloss:0.039368+0.000549    test-mlogloss:0.824116+0.051589 
## [36] train-mlogloss:0.038361+0.000517    test-mlogloss:0.827219+0.050224 
## [37] train-mlogloss:0.037356+0.000468    test-mlogloss:0.830799+0.050397 
## [38] train-mlogloss:0.036390+0.000450    test-mlogloss:0.834860+0.052385 
## [39] train-mlogloss:0.035548+0.000455    test-mlogloss:0.835913+0.051527 
## [40] train-mlogloss:0.034772+0.000447    test-mlogloss:0.840157+0.052817 
## [41] train-mlogloss:0.033981+0.000432    test-mlogloss:0.843900+0.053703 
## [42] train-mlogloss:0.033230+0.000409    test-mlogloss:0.846015+0.054166 
## [43] train-mlogloss:0.032514+0.000403    test-mlogloss:0.848091+0.055170 
## [44] train-mlogloss:0.031881+0.000360    test-mlogloss:0.851924+0.055234 
## [45] train-mlogloss:0.031251+0.000339    test-mlogloss:0.854760+0.055041 
## [46] train-mlogloss:0.030639+0.000353    test-mlogloss:0.857322+0.055406 
## [47] train-mlogloss:0.030059+0.000324    test-mlogloss:0.860426+0.055268 
## [48] train-mlogloss:0.029485+0.000354    test-mlogloss:0.861572+0.055455 
## [49] train-mlogloss:0.028985+0.000318    test-mlogloss:0.863559+0.055687 
## [50] train-mlogloss:0.028487+0.000329    test-mlogloss:0.864959+0.055836 
## [51] train-mlogloss:0.028016+0.000309    test-mlogloss:0.867707+0.055675 
## [52] train-mlogloss:0.027546+0.000295    test-mlogloss:0.871143+0.055126 
## [53] train-mlogloss:0.027089+0.000256    test-mlogloss:0.873258+0.055365 
## [54] train-mlogloss:0.026651+0.000242    test-mlogloss:0.874710+0.054750 
## [55] train-mlogloss:0.026260+0.000254    test-mlogloss:0.878476+0.055282 
## [56] train-mlogloss:0.025881+0.000249    test-mlogloss:0.880099+0.056456 
## [57] train-mlogloss:0.025509+0.000241    test-mlogloss:0.880486+0.057501 
## [58] train-mlogloss:0.025141+0.000246    test-mlogloss:0.881147+0.057270 
## [59] train-mlogloss:0.024766+0.000256    test-mlogloss:0.883326+0.058166 
## [60] train-mlogloss:0.024394+0.000257    test-mlogloss:0.883996+0.058280 
## [61] train-mlogloss:0.024054+0.000228    test-mlogloss:0.885517+0.058227 
## [62] train-mlogloss:0.023745+0.000223    test-mlogloss:0.887090+0.057393 
## [63] train-mlogloss:0.023453+0.000214    test-mlogloss:0.889671+0.057837 
## [64] train-mlogloss:0.023151+0.000225    test-mlogloss:0.890366+0.058855 
## [65] train-mlogloss:0.022883+0.000226    test-mlogloss:0.891891+0.058321 
## [66] train-mlogloss:0.022608+0.000216    test-mlogloss:0.893771+0.057111 
## [67] train-mlogloss:0.022320+0.000211    test-mlogloss:0.894825+0.058258 
## [68] train-mlogloss:0.022035+0.000202    test-mlogloss:0.896606+0.057967 
## [69] train-mlogloss:0.021780+0.000190    test-mlogloss:0.897566+0.058697 
## [70] train-mlogloss:0.021526+0.000199    test-mlogloss:0.898369+0.058914 
## [71] train-mlogloss:0.021266+0.000198    test-mlogloss:0.899946+0.059999 
## [72] train-mlogloss:0.021012+0.000190    test-mlogloss:0.902061+0.060469 
## [73] train-mlogloss:0.020776+0.000181    test-mlogloss:0.903530+0.061131 
## [74] train-mlogloss:0.020553+0.000192    test-mlogloss:0.904558+0.061356 
## [75] train-mlogloss:0.020323+0.000192    test-mlogloss:0.906200+0.061509 
## [76] train-mlogloss:0.020106+0.000174    test-mlogloss:0.908369+0.061795 
## [77] train-mlogloss:0.019898+0.000172    test-mlogloss:0.909070+0.061949 
## [78] train-mlogloss:0.019709+0.000169    test-mlogloss:0.911067+0.062899 
## [79] train-mlogloss:0.019498+0.000169    test-mlogloss:0.912665+0.063857 
## [80] train-mlogloss:0.019310+0.000162    test-mlogloss:0.913694+0.063229 
## [81] train-mlogloss:0.019130+0.000152    test-mlogloss:0.915903+0.063800 
## [82] train-mlogloss:0.018927+0.000152    test-mlogloss:0.918226+0.063956 
## [83] train-mlogloss:0.018750+0.000159    test-mlogloss:0.919884+0.064868 
## [84] train-mlogloss:0.018580+0.000163    test-mlogloss:0.920742+0.065493 
## [85] train-mlogloss:0.018430+0.000172    test-mlogloss:0.922513+0.065754 
## [86] train-mlogloss:0.018264+0.000169    test-mlogloss:0.924390+0.064830 
## [87] train-mlogloss:0.018106+0.000165    test-mlogloss:0.926123+0.064852 
## [88] train-mlogloss:0.017948+0.000152    test-mlogloss:0.926797+0.064217 
## [89] train-mlogloss:0.017790+0.000154    test-mlogloss:0.927905+0.063735 
## [90] train-mlogloss:0.017637+0.000158    test-mlogloss:0.928994+0.062701 
## [91] train-mlogloss:0.017480+0.000161    test-mlogloss:0.929807+0.063115 
## [92] train-mlogloss:0.017335+0.000164    test-mlogloss:0.931112+0.063945 
## [93] train-mlogloss:0.017195+0.000158    test-mlogloss:0.932213+0.063724 
## [94] train-mlogloss:0.017051+0.000159    test-mlogloss:0.933281+0.063639 
## [95] train-mlogloss:0.016914+0.000185    test-mlogloss:0.934163+0.064711 
## [96] train-mlogloss:0.016781+0.000188    test-mlogloss:0.934724+0.064718 
## [97] train-mlogloss:0.016660+0.000191    test-mlogloss:0.936413+0.064972 
## [98] train-mlogloss:0.016532+0.000186    test-mlogloss:0.937294+0.065579 
## [99] train-mlogloss:0.016408+0.000181    test-mlogloss:0.937178+0.065216 
## [100]    train-mlogloss:0.016286+0.000176    test-mlogloss:0.937706+0.064979 
## [101]    train-mlogloss:0.016160+0.000180    test-mlogloss:0.939024+0.065063 
## [102]    train-mlogloss:0.016039+0.000181    test-mlogloss:0.940354+0.065305 
## [103]    train-mlogloss:0.015915+0.000180    test-mlogloss:0.940717+0.065877 
## [104]    train-mlogloss:0.015811+0.000175    test-mlogloss:0.941154+0.065050 
## [105]    train-mlogloss:0.015695+0.000170    test-mlogloss:0.942824+0.065126 
## [106]    train-mlogloss:0.015589+0.000169    test-mlogloss:0.944064+0.065463 
## [107]    train-mlogloss:0.015481+0.000163    test-mlogloss:0.945290+0.065334 
## [108]    train-mlogloss:0.015371+0.000167    test-mlogloss:0.946481+0.066089 
## [109]    train-mlogloss:0.015261+0.000156    test-mlogloss:0.947405+0.066784 
## [110]    train-mlogloss:0.015162+0.000151    test-mlogloss:0.948053+0.067018 
## [111]    train-mlogloss:0.015056+0.000154    test-mlogloss:0.948637+0.067737 
## [112]    train-mlogloss:0.014950+0.000160    test-mlogloss:0.950512+0.068090 
## [113]    train-mlogloss:0.014862+0.000155    test-mlogloss:0.950482+0.068612 
## [114]    train-mlogloss:0.014770+0.000153    test-mlogloss:0.952257+0.068294 
## [115]    train-mlogloss:0.014682+0.000147    test-mlogloss:0.953553+0.069887 
## [116]    train-mlogloss:0.014588+0.000148    test-mlogloss:0.954182+0.069609 
## [117]    train-mlogloss:0.014498+0.000143    test-mlogloss:0.955641+0.069818 
## [118]    train-mlogloss:0.014414+0.000140    test-mlogloss:0.956598+0.069383 
## [119]    train-mlogloss:0.014321+0.000144    test-mlogloss:0.957623+0.068907 
## [120]    train-mlogloss:0.014233+0.000142    test-mlogloss:0.958757+0.069375 
## [121]    train-mlogloss:0.014148+0.000136    test-mlogloss:0.959638+0.069810 
## [122]    train-mlogloss:0.014066+0.000139    test-mlogloss:0.960479+0.070528 
## [123]    train-mlogloss:0.013990+0.000137    test-mlogloss:0.961620+0.070303 
## [124]    train-mlogloss:0.013904+0.000136    test-mlogloss:0.961925+0.070746 
## [125]    train-mlogloss:0.013824+0.000134    test-mlogloss:0.963688+0.071254 
## [126]    train-mlogloss:0.013747+0.000135    test-mlogloss:0.964676+0.070765 
## [127]    train-mlogloss:0.013667+0.000130    test-mlogloss:0.966032+0.071805 
## [128]    train-mlogloss:0.013589+0.000135    test-mlogloss:0.967304+0.072330 
## [129]    train-mlogloss:0.013516+0.000133    test-mlogloss:0.968307+0.072655 
## [130]    train-mlogloss:0.013438+0.000133    test-mlogloss:0.969120+0.072524 
## [131]    train-mlogloss:0.013367+0.000129    test-mlogloss:0.969465+0.072436 
## [132]    train-mlogloss:0.013295+0.000129    test-mlogloss:0.970899+0.072253 
## [133]    train-mlogloss:0.013222+0.000127    test-mlogloss:0.971886+0.072484 
## [134]    train-mlogloss:0.013153+0.000132    test-mlogloss:0.972381+0.071891 
## [135]    train-mlogloss:0.013083+0.000130    test-mlogloss:0.973781+0.072912 
## [136]    train-mlogloss:0.013016+0.000130    test-mlogloss:0.975172+0.072405 
## [137]    train-mlogloss:0.012949+0.000128    test-mlogloss:0.975787+0.072671 
## [138]    train-mlogloss:0.012882+0.000125    test-mlogloss:0.976410+0.073127 
## [139]    train-mlogloss:0.012817+0.000125    test-mlogloss:0.977401+0.072877 
## [140]    train-mlogloss:0.012759+0.000127    test-mlogloss:0.978095+0.073695 
## [141]    train-mlogloss:0.012696+0.000125    test-mlogloss:0.977901+0.073849 
## [142]    train-mlogloss:0.012627+0.000122    test-mlogloss:0.978656+0.073527 
## [143]    train-mlogloss:0.012566+0.000120    test-mlogloss:0.979768+0.073135 
## [144]    train-mlogloss:0.012509+0.000130    test-mlogloss:0.979876+0.072890 
## [145]    train-mlogloss:0.012451+0.000130    test-mlogloss:0.981508+0.073598 
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## [147]    train-mlogloss:0.012339+0.000128    test-mlogloss:0.982318+0.073348 
## [148]    train-mlogloss:0.012284+0.000130    test-mlogloss:0.983244+0.073153 
## [149]    train-mlogloss:0.012227+0.000128    test-mlogloss:0.984124+0.073919 
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## [152]    train-mlogloss:0.012069+0.000131    test-mlogloss:0.985590+0.073531 
## [153]    train-mlogloss:0.012011+0.000132    test-mlogloss:0.986992+0.073594 
## [154]    train-mlogloss:0.011956+0.000132    test-mlogloss:0.988445+0.073477 
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## [159]    train-mlogloss:0.011694+0.000119    test-mlogloss:0.989724+0.073146 
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## [162]    train-mlogloss:0.011551+0.000117    test-mlogloss:0.992390+0.073855 
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## [172]    train-mlogloss:0.011105+0.000110    test-mlogloss:0.999233+0.075660 
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## [393]    train-mlogloss:0.006667+0.000063    test-mlogloss:1.087093+0.081188 
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## [396]    train-mlogloss:0.006638+0.000062    test-mlogloss:1.088527+0.080991 
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## [398]    train-mlogloss:0.006618+0.000062    test-mlogloss:1.089272+0.080769 
## [399]    train-mlogloss:0.006608+0.000060    test-mlogloss:1.088929+0.080873 
## [400]    train-mlogloss:0.006600+0.000059    test-mlogloss:1.089131+0.080918 
## [401]    train-mlogloss:0.006591+0.000060    test-mlogloss:1.089389+0.080970 
## [402]    train-mlogloss:0.006582+0.000059    test-mlogloss:1.089206+0.080828 
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## [406]    train-mlogloss:0.006546+0.000059    test-mlogloss:1.090981+0.081288 
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## [411]    train-mlogloss:0.006501+0.000059    test-mlogloss:1.091809+0.081364 
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## [416]    train-mlogloss:0.006458+0.000057    test-mlogloss:1.092313+0.081341 
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## [423]    train-mlogloss:0.006399+0.000054    test-mlogloss:1.093874+0.081328 
## [424]    train-mlogloss:0.006392+0.000054    test-mlogloss:1.093851+0.081113 
## [425]    train-mlogloss:0.006383+0.000053    test-mlogloss:1.094279+0.081763 
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## [427]    train-mlogloss:0.006366+0.000054    test-mlogloss:1.095115+0.082153 
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## [429]    train-mlogloss:0.006349+0.000054    test-mlogloss:1.095451+0.081468 
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## [432]    train-mlogloss:0.006326+0.000054    test-mlogloss:1.095735+0.080975 
## [433]    train-mlogloss:0.006318+0.000052    test-mlogloss:1.096506+0.080514 
## [434]    train-mlogloss:0.006309+0.000053    test-mlogloss:1.096810+0.080132 
## [435]    train-mlogloss:0.006302+0.000053    test-mlogloss:1.096960+0.080253 
## [436]    train-mlogloss:0.006293+0.000054    test-mlogloss:1.097507+0.080420 
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## [438]    train-mlogloss:0.006275+0.000052    test-mlogloss:1.097535+0.080274 
## [439]    train-mlogloss:0.006267+0.000052    test-mlogloss:1.097847+0.080332 
## [440]    train-mlogloss:0.006259+0.000052    test-mlogloss:1.098257+0.080249 
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## [443]    train-mlogloss:0.006235+0.000051    test-mlogloss:1.098244+0.080991 
## [444]    train-mlogloss:0.006229+0.000051    test-mlogloss:1.099220+0.081041 
## [445]    train-mlogloss:0.006222+0.000051    test-mlogloss:1.098501+0.080833 
## [446]    train-mlogloss:0.006215+0.000051    test-mlogloss:1.099072+0.080986 
## [447]    train-mlogloss:0.006207+0.000051    test-mlogloss:1.099043+0.081167 
## [448]    train-mlogloss:0.006199+0.000050    test-mlogloss:1.100013+0.081285 
## [449]    train-mlogloss:0.006192+0.000050    test-mlogloss:1.100199+0.081707 
## [450]    train-mlogloss:0.006185+0.000050    test-mlogloss:1.100642+0.081644 
## [451]    train-mlogloss:0.006178+0.000048    test-mlogloss:1.101618+0.082071 
## [452]    train-mlogloss:0.006170+0.000048    test-mlogloss:1.101172+0.082006 
## [453]    train-mlogloss:0.006163+0.000048    test-mlogloss:1.100585+0.081632 
## [454]    train-mlogloss:0.006156+0.000048    test-mlogloss:1.101148+0.081838 
## [455]    train-mlogloss:0.006147+0.000049    test-mlogloss:1.100654+0.082162 
## [456]    train-mlogloss:0.006140+0.000049    test-mlogloss:1.101381+0.082147 
## [457]    train-mlogloss:0.006132+0.000050    test-mlogloss:1.101487+0.081708 
## [458]    train-mlogloss:0.006123+0.000049    test-mlogloss:1.101666+0.081910 
## [459]    train-mlogloss:0.006117+0.000050    test-mlogloss:1.101272+0.082220 
## [460]    train-mlogloss:0.006110+0.000048    test-mlogloss:1.101517+0.082205 
## [461]    train-mlogloss:0.006102+0.000047    test-mlogloss:1.101674+0.082195 
## [462]    train-mlogloss:0.006095+0.000046    test-mlogloss:1.102521+0.082030 
## [463]    train-mlogloss:0.006087+0.000046    test-mlogloss:1.102777+0.081352 
## [464]    train-mlogloss:0.006079+0.000045    test-mlogloss:1.103003+0.080981 
## [465]    train-mlogloss:0.006073+0.000046    test-mlogloss:1.103910+0.081503 
## [466]    train-mlogloss:0.006066+0.000046    test-mlogloss:1.103715+0.081196 
## [467]    train-mlogloss:0.006058+0.000046    test-mlogloss:1.103986+0.081240 
## [468]    train-mlogloss:0.006052+0.000047    test-mlogloss:1.104269+0.081687 
## [469]    train-mlogloss:0.006044+0.000046    test-mlogloss:1.104003+0.081262 
## [470]    train-mlogloss:0.006036+0.000047    test-mlogloss:1.104264+0.080810 
## [471]    train-mlogloss:0.006028+0.000047    test-mlogloss:1.104778+0.081248 
## [472]    train-mlogloss:0.006020+0.000046    test-mlogloss:1.105341+0.081212 
## [473]    train-mlogloss:0.006014+0.000046    test-mlogloss:1.105490+0.081927 
## [474]    train-mlogloss:0.006006+0.000046    test-mlogloss:1.105972+0.081558 
## [475]    train-mlogloss:0.005999+0.000046    test-mlogloss:1.105836+0.081587 
## [476]    train-mlogloss:0.005992+0.000045    test-mlogloss:1.106007+0.081405 
## [477]    train-mlogloss:0.005984+0.000046    test-mlogloss:1.106228+0.081534 
## [478]    train-mlogloss:0.005978+0.000046    test-mlogloss:1.106724+0.081426 
## [479]    train-mlogloss:0.005973+0.000045    test-mlogloss:1.106879+0.081373 
## [480]    train-mlogloss:0.005967+0.000045    test-mlogloss:1.107329+0.081810 
## [481]    train-mlogloss:0.005960+0.000043    test-mlogloss:1.107290+0.082127 
## [482]    train-mlogloss:0.005953+0.000044    test-mlogloss:1.107792+0.081677 
## [483]    train-mlogloss:0.005945+0.000043    test-mlogloss:1.107792+0.081969 
## [484]    train-mlogloss:0.005939+0.000043    test-mlogloss:1.108800+0.082011 
## [485]    train-mlogloss:0.005933+0.000044    test-mlogloss:1.108951+0.081648 
## [486]    train-mlogloss:0.005926+0.000043    test-mlogloss:1.109070+0.081708 
## [487]    train-mlogloss:0.005919+0.000044    test-mlogloss:1.109545+0.082271 
## [488]    train-mlogloss:0.005911+0.000044    test-mlogloss:1.109569+0.081622 
## [489]    train-mlogloss:0.005905+0.000044    test-mlogloss:1.109878+0.081901 
## [490]    train-mlogloss:0.005897+0.000044    test-mlogloss:1.110759+0.081791 
## [491]    train-mlogloss:0.005892+0.000043    test-mlogloss:1.110547+0.082391 
## [492]    train-mlogloss:0.005886+0.000044    test-mlogloss:1.110404+0.081918 
## [493]    train-mlogloss:0.005879+0.000045    test-mlogloss:1.111149+0.081886 
## [494]    train-mlogloss:0.005873+0.000045    test-mlogloss:1.110698+0.081771 
## [495]    train-mlogloss:0.005868+0.000045    test-mlogloss:1.110750+0.081932 
## [496]    train-mlogloss:0.005862+0.000045    test-mlogloss:1.110747+0.081797 
## [497]    train-mlogloss:0.005855+0.000045    test-mlogloss:1.111407+0.082140 
## [498]    train-mlogloss:0.005847+0.000043    test-mlogloss:1.111562+0.082228 
## [499]    train-mlogloss:0.005840+0.000042    test-mlogloss:1.111450+0.082447 
## [500]    train-mlogloss:0.005836+0.000042    test-mlogloss:1.111647+0.082376 
## [1]  train-mlogloss:0.522410+0.002684    test-mlogloss:0.545267+0.007716 
## [2]  train-mlogloss:0.502696+0.003668    test-mlogloss:0.544142+0.009047 
## [3]  train-mlogloss:0.492934+0.004590    test-mlogloss:0.546646+0.009988 
## [4]  train-mlogloss:0.484046+0.006017    test-mlogloss:0.549999+0.010941 
## [5]  train-mlogloss:0.476724+0.004508    test-mlogloss:0.553719+0.008621 
## [6]  train-mlogloss:0.469246+0.004326    test-mlogloss:0.557568+0.007888 
## [7]  train-mlogloss:0.458804+0.003342    test-mlogloss:0.563490+0.011199 
## [8]  train-mlogloss:0.450718+0.002731    test-mlogloss:0.566463+0.011005 
## [9]  train-mlogloss:0.442572+0.002847    test-mlogloss:0.568625+0.013800 
## [10] train-mlogloss:0.435875+0.003735    test-mlogloss:0.572554+0.015231 
## [11] train-mlogloss:0.429740+0.003264    test-mlogloss:0.575210+0.015380 
## [12] train-mlogloss:0.423399+0.002501    test-mlogloss:0.577976+0.016617 
## [13] train-mlogloss:0.415907+0.002675    test-mlogloss:0.582175+0.016419 
## [14] train-mlogloss:0.408618+0.003828    test-mlogloss:0.585159+0.015114 
## [15] train-mlogloss:0.404340+0.003597    test-mlogloss:0.586424+0.014615 
## [16] train-mlogloss:0.396276+0.004652    test-mlogloss:0.588933+0.014255 
## [17] train-mlogloss:0.388577+0.004048    test-mlogloss:0.594038+0.015272 
## [18] train-mlogloss:0.381854+0.002806    test-mlogloss:0.598070+0.014585 
## [19] train-mlogloss:0.374978+0.003315    test-mlogloss:0.602895+0.015841 
## [20] train-mlogloss:0.368702+0.002835    test-mlogloss:0.605829+0.016482 
## [21] train-mlogloss:0.362627+0.003441    test-mlogloss:0.609870+0.015562 
## [22] train-mlogloss:0.357698+0.003816    test-mlogloss:0.612688+0.014896 
## [23] train-mlogloss:0.352779+0.004242    test-mlogloss:0.617238+0.015058 
## [24] train-mlogloss:0.346331+0.004697    test-mlogloss:0.620303+0.016901 
## [25] train-mlogloss:0.340787+0.005381    test-mlogloss:0.621419+0.017663 
## [26] train-mlogloss:0.335835+0.006197    test-mlogloss:0.625631+0.016448 
## [27] train-mlogloss:0.329886+0.006043    test-mlogloss:0.627979+0.015568 
## [28] train-mlogloss:0.324558+0.005115    test-mlogloss:0.631375+0.016013 
## [29] train-mlogloss:0.319033+0.004544    test-mlogloss:0.634002+0.016033 
## [30] train-mlogloss:0.312982+0.003981    test-mlogloss:0.635457+0.014735 
## [31] train-mlogloss:0.307739+0.004316    test-mlogloss:0.641086+0.013109 
## [32] train-mlogloss:0.302504+0.004153    test-mlogloss:0.643971+0.013834 
## [33] train-mlogloss:0.298141+0.004136    test-mlogloss:0.643669+0.014620 
## [34] train-mlogloss:0.292736+0.002939    test-mlogloss:0.647483+0.014927 
## [35] train-mlogloss:0.288067+0.003213    test-mlogloss:0.650399+0.014801 
## [36] train-mlogloss:0.283607+0.002636    test-mlogloss:0.654073+0.014832 
## [37] train-mlogloss:0.279539+0.002403    test-mlogloss:0.656840+0.015793 
## [38] train-mlogloss:0.275689+0.002720    test-mlogloss:0.658900+0.016212 
## [39] train-mlogloss:0.271712+0.004345    test-mlogloss:0.660674+0.015192 
## [40] train-mlogloss:0.267188+0.005588    test-mlogloss:0.664045+0.017113 
## [41] train-mlogloss:0.263131+0.005793    test-mlogloss:0.666165+0.016832 
## [42] train-mlogloss:0.258506+0.005576    test-mlogloss:0.668832+0.016695 
## [43] train-mlogloss:0.254151+0.006463    test-mlogloss:0.671783+0.014546 
## [44] train-mlogloss:0.250323+0.006418    test-mlogloss:0.674172+0.014298 
## [45] train-mlogloss:0.245921+0.007028    test-mlogloss:0.676626+0.013938 
## [46] train-mlogloss:0.242245+0.006634    test-mlogloss:0.678544+0.013687 
## [47] train-mlogloss:0.238790+0.006752    test-mlogloss:0.680100+0.013941 
## [48] train-mlogloss:0.235353+0.006245    test-mlogloss:0.684014+0.013910 
## [49] train-mlogloss:0.231883+0.006210    test-mlogloss:0.686764+0.013836 
## [50] train-mlogloss:0.228616+0.005841    test-mlogloss:0.688407+0.013492 
## [51] train-mlogloss:0.225271+0.005495    test-mlogloss:0.691495+0.013711 
## [52] train-mlogloss:0.222365+0.005241    test-mlogloss:0.695241+0.013306 
## [53] train-mlogloss:0.218951+0.005381    test-mlogloss:0.697034+0.011883 
## [54] train-mlogloss:0.214955+0.004841    test-mlogloss:0.698038+0.011570 
## [55] train-mlogloss:0.212066+0.005283    test-mlogloss:0.700011+0.011895 
## [56] train-mlogloss:0.209004+0.005083    test-mlogloss:0.703086+0.011716 
## [57] train-mlogloss:0.206076+0.005145    test-mlogloss:0.706107+0.011650 
## [58] train-mlogloss:0.202305+0.004456    test-mlogloss:0.708553+0.011135 
## [59] train-mlogloss:0.199366+0.004755    test-mlogloss:0.710669+0.010578 
## [60] train-mlogloss:0.196847+0.005037    test-mlogloss:0.712434+0.012037 
## [61] train-mlogloss:0.194441+0.004798    test-mlogloss:0.716420+0.012807 
## [62] train-mlogloss:0.191077+0.004140    test-mlogloss:0.719767+0.012088 
## [63] train-mlogloss:0.188169+0.003962    test-mlogloss:0.722324+0.012159 
## [64] train-mlogloss:0.185064+0.003066    test-mlogloss:0.725675+0.013053 
## [65] train-mlogloss:0.181992+0.003075    test-mlogloss:0.729254+0.012902 
## [66] train-mlogloss:0.179532+0.003731    test-mlogloss:0.728803+0.011540 
## [67] train-mlogloss:0.177312+0.004217    test-mlogloss:0.731618+0.012490 
## [68] train-mlogloss:0.174732+0.003937    test-mlogloss:0.732446+0.012496 
## [69] train-mlogloss:0.171955+0.003776    test-mlogloss:0.736233+0.013778 
## [70] train-mlogloss:0.169637+0.003744    test-mlogloss:0.738465+0.012623 
## [71] train-mlogloss:0.166932+0.003556    test-mlogloss:0.741239+0.012946 
## [72] train-mlogloss:0.164249+0.003973    test-mlogloss:0.743059+0.013809 
## [73] train-mlogloss:0.161694+0.003889    test-mlogloss:0.746113+0.011726 
## [74] train-mlogloss:0.159124+0.004054    test-mlogloss:0.746407+0.010870 
## [75] train-mlogloss:0.156575+0.004599    test-mlogloss:0.748476+0.011278 
## [76] train-mlogloss:0.154220+0.004596    test-mlogloss:0.751073+0.012213 
## [77] train-mlogloss:0.151839+0.005172    test-mlogloss:0.754183+0.012318 
## [78] train-mlogloss:0.149953+0.004974    test-mlogloss:0.756260+0.012480 
## [79] train-mlogloss:0.147863+0.004839    test-mlogloss:0.757893+0.011703 
## [80] train-mlogloss:0.145467+0.004587    test-mlogloss:0.760227+0.012928 
## [81] train-mlogloss:0.143584+0.004511    test-mlogloss:0.761876+0.012965 
## [82] train-mlogloss:0.141176+0.004611    test-mlogloss:0.763356+0.013161 
## [83] train-mlogloss:0.139421+0.004749    test-mlogloss:0.767347+0.012650 
## [84] train-mlogloss:0.137361+0.004955    test-mlogloss:0.768384+0.012617 
## [85] train-mlogloss:0.135230+0.004942    test-mlogloss:0.770709+0.012814 
## [86] train-mlogloss:0.132937+0.005251    test-mlogloss:0.775146+0.014418 
## [87] train-mlogloss:0.131142+0.004970    test-mlogloss:0.776566+0.014333 
## [88] train-mlogloss:0.129043+0.004906    test-mlogloss:0.779097+0.013331 
## [89] train-mlogloss:0.127329+0.004561    test-mlogloss:0.781747+0.013443 
## [90] train-mlogloss:0.125616+0.004730    test-mlogloss:0.784503+0.012441 
## [91] train-mlogloss:0.123914+0.004474    test-mlogloss:0.787637+0.012860 
## [92] train-mlogloss:0.122033+0.004458    test-mlogloss:0.789565+0.014763 
## [93] train-mlogloss:0.120512+0.004305    test-mlogloss:0.789857+0.016242 
## [94] train-mlogloss:0.118518+0.004156    test-mlogloss:0.791215+0.018898 
## [95] train-mlogloss:0.116610+0.003786    test-mlogloss:0.791664+0.017435 
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## [97] train-mlogloss:0.113519+0.003720    test-mlogloss:0.798242+0.018636 
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## [6]  train-mlogloss:0.175355+0.004429    test-mlogloss:0.681034+0.030202 
## [7]  train-mlogloss:0.153458+0.004405    test-mlogloss:0.696062+0.030768 
## [8]  train-mlogloss:0.136196+0.003706    test-mlogloss:0.708164+0.033387 
## [9]  train-mlogloss:0.121613+0.003476    test-mlogloss:0.723388+0.036621 
## [10] train-mlogloss:0.109793+0.002627    test-mlogloss:0.732610+0.039002 
## [11] train-mlogloss:0.099718+0.002766    test-mlogloss:0.744251+0.043416 
## [12] train-mlogloss:0.091950+0.001917    test-mlogloss:0.754379+0.042418 
## [13] train-mlogloss:0.084737+0.001827    test-mlogloss:0.762581+0.040669 
## [14] train-mlogloss:0.078575+0.001567    test-mlogloss:0.772803+0.041793 
## [15] train-mlogloss:0.073474+0.001089    test-mlogloss:0.778797+0.041878 
## [16] train-mlogloss:0.068810+0.001213    test-mlogloss:0.783790+0.043030 
## [17] train-mlogloss:0.064687+0.000988    test-mlogloss:0.788260+0.043471 
## [18] train-mlogloss:0.060933+0.000888    test-mlogloss:0.794567+0.044232 
## [19] train-mlogloss:0.057777+0.000899    test-mlogloss:0.800806+0.044229 
## [20] train-mlogloss:0.054983+0.000915    test-mlogloss:0.806535+0.043906 
## [21] train-mlogloss:0.052315+0.001125    test-mlogloss:0.813123+0.042355 
## [22] train-mlogloss:0.049913+0.000965    test-mlogloss:0.818688+0.044047 
## [23] train-mlogloss:0.047747+0.000875    test-mlogloss:0.823632+0.042565 
## [24] train-mlogloss:0.045865+0.000831    test-mlogloss:0.827882+0.041503 
## [25] train-mlogloss:0.044104+0.000822    test-mlogloss:0.833798+0.040427 
## [26] train-mlogloss:0.042405+0.000660    test-mlogloss:0.840021+0.039934 
## [27] train-mlogloss:0.040882+0.000667    test-mlogloss:0.845499+0.039883 
## [28] train-mlogloss:0.039478+0.000699    test-mlogloss:0.846574+0.040680 
## [29] train-mlogloss:0.038183+0.000594    test-mlogloss:0.849937+0.039898 
## [30] train-mlogloss:0.036994+0.000649    test-mlogloss:0.854315+0.041199 
## [31] train-mlogloss:0.035893+0.000645    test-mlogloss:0.858074+0.042298 
## [32] train-mlogloss:0.034806+0.000609    test-mlogloss:0.860434+0.042647 
## [33] train-mlogloss:0.033804+0.000540    test-mlogloss:0.863594+0.042475 
## [34] train-mlogloss:0.032864+0.000532    test-mlogloss:0.866174+0.042720 
## [35] train-mlogloss:0.032027+0.000486    test-mlogloss:0.870547+0.042251 
## [36] train-mlogloss:0.031151+0.000512    test-mlogloss:0.873989+0.042672 
## [37] train-mlogloss:0.030383+0.000460    test-mlogloss:0.876949+0.041476 
## [38] train-mlogloss:0.029694+0.000474    test-mlogloss:0.880155+0.041527 
## [39] train-mlogloss:0.029034+0.000440    test-mlogloss:0.883923+0.041452 
## [40] train-mlogloss:0.028402+0.000401    test-mlogloss:0.886433+0.042714 
## [41] train-mlogloss:0.027769+0.000397    test-mlogloss:0.890003+0.044130 
## [42] train-mlogloss:0.027203+0.000396    test-mlogloss:0.890955+0.042617 
## [43] train-mlogloss:0.026650+0.000402    test-mlogloss:0.892158+0.042444 
## [44] train-mlogloss:0.026116+0.000378    test-mlogloss:0.895187+0.041995 
## [45] train-mlogloss:0.025622+0.000364    test-mlogloss:0.896196+0.042124 
## [46] train-mlogloss:0.025122+0.000348    test-mlogloss:0.899245+0.041439 
## [47] train-mlogloss:0.024656+0.000349    test-mlogloss:0.900076+0.041585 
## [48] train-mlogloss:0.024232+0.000343    test-mlogloss:0.903933+0.042296 
## [49] train-mlogloss:0.023835+0.000348    test-mlogloss:0.905636+0.042421 
## [50] train-mlogloss:0.023458+0.000360    test-mlogloss:0.907773+0.041121 
## [51] train-mlogloss:0.023099+0.000363    test-mlogloss:0.910841+0.041568 
## [52] train-mlogloss:0.022723+0.000354    test-mlogloss:0.914253+0.043198 
## [53] train-mlogloss:0.022393+0.000320    test-mlogloss:0.915637+0.043468 
## [54] train-mlogloss:0.022063+0.000302    test-mlogloss:0.917334+0.043365 
## [55] train-mlogloss:0.021752+0.000285    test-mlogloss:0.917270+0.044536 
## [56] train-mlogloss:0.021439+0.000284    test-mlogloss:0.920315+0.045924 
## [57] train-mlogloss:0.021127+0.000277    test-mlogloss:0.920751+0.045584 
## [58] train-mlogloss:0.020845+0.000280    test-mlogloss:0.922896+0.044967 
## [59] train-mlogloss:0.020559+0.000279    test-mlogloss:0.925959+0.045044 
## [60] train-mlogloss:0.020281+0.000280    test-mlogloss:0.927143+0.046261 
## [61] train-mlogloss:0.020006+0.000284    test-mlogloss:0.929418+0.047737 
## [62] train-mlogloss:0.019759+0.000262    test-mlogloss:0.930893+0.047713 
## [63] train-mlogloss:0.019495+0.000251    test-mlogloss:0.933468+0.048130 
## [64] train-mlogloss:0.019237+0.000243    test-mlogloss:0.935049+0.048456 
## [65] train-mlogloss:0.019012+0.000243    test-mlogloss:0.936570+0.048576 
## [66] train-mlogloss:0.018766+0.000235    test-mlogloss:0.938597+0.049028 
## [67] train-mlogloss:0.018549+0.000226    test-mlogloss:0.940397+0.049223 
## [68] train-mlogloss:0.018322+0.000225    test-mlogloss:0.941592+0.049733 
## [69] train-mlogloss:0.018134+0.000225    test-mlogloss:0.943250+0.049427 
## [70] train-mlogloss:0.017937+0.000232    test-mlogloss:0.945159+0.049055 
## [71] train-mlogloss:0.017743+0.000241    test-mlogloss:0.945971+0.049244 
## [72] train-mlogloss:0.017540+0.000225    test-mlogloss:0.948907+0.049193 
## [73] train-mlogloss:0.017345+0.000231    test-mlogloss:0.949523+0.048543 
## [74] train-mlogloss:0.017165+0.000228    test-mlogloss:0.951961+0.048787 
## [75] train-mlogloss:0.016984+0.000217    test-mlogloss:0.952778+0.049588 
## [76] train-mlogloss:0.016802+0.000223    test-mlogloss:0.954523+0.049666 
## [77] train-mlogloss:0.016646+0.000223    test-mlogloss:0.956070+0.050667 
## [78] train-mlogloss:0.016490+0.000231    test-mlogloss:0.957573+0.051106 
## [79] train-mlogloss:0.016334+0.000223    test-mlogloss:0.958671+0.050874 
## [80] train-mlogloss:0.016177+0.000215    test-mlogloss:0.958320+0.050924 
## [81] train-mlogloss:0.016033+0.000212    test-mlogloss:0.960936+0.049945 
## [82] train-mlogloss:0.015898+0.000217    test-mlogloss:0.962544+0.050645 
## [83] train-mlogloss:0.015751+0.000213    test-mlogloss:0.963226+0.049393 
## [84] train-mlogloss:0.015612+0.000204    test-mlogloss:0.964644+0.050366 
## [85] train-mlogloss:0.015478+0.000203    test-mlogloss:0.965668+0.049984 
## [86] train-mlogloss:0.015341+0.000201    test-mlogloss:0.966079+0.050067 
## [87] train-mlogloss:0.015226+0.000187    test-mlogloss:0.967197+0.050199 
## [88] train-mlogloss:0.015099+0.000189    test-mlogloss:0.968076+0.050716 
## [89] train-mlogloss:0.014979+0.000182    test-mlogloss:0.969989+0.050978 
## [90] train-mlogloss:0.014861+0.000183    test-mlogloss:0.970202+0.050852 
## [91] train-mlogloss:0.014738+0.000190    test-mlogloss:0.969890+0.049697 
## [92] train-mlogloss:0.014612+0.000186    test-mlogloss:0.972044+0.049906 
## [93] train-mlogloss:0.014504+0.000182    test-mlogloss:0.973086+0.049055 
## [94] train-mlogloss:0.014397+0.000165    test-mlogloss:0.975130+0.049665 
## [95] train-mlogloss:0.014289+0.000169    test-mlogloss:0.976329+0.050052 
## [96] train-mlogloss:0.014178+0.000166    test-mlogloss:0.977557+0.049498 
## [97] train-mlogloss:0.014083+0.000168    test-mlogloss:0.979166+0.049626 
## [98] train-mlogloss:0.013984+0.000160    test-mlogloss:0.980100+0.049405 
## [99] train-mlogloss:0.013878+0.000154    test-mlogloss:0.981088+0.048637 
## [100]    train-mlogloss:0.013773+0.000155    test-mlogloss:0.981774+0.048490 
## [101]    train-mlogloss:0.013675+0.000153    test-mlogloss:0.982250+0.048209 
## [102]    train-mlogloss:0.013577+0.000145    test-mlogloss:0.984819+0.048803 
## [103]    train-mlogloss:0.013479+0.000132    test-mlogloss:0.984792+0.048622 
## [104]    train-mlogloss:0.013388+0.000127    test-mlogloss:0.986301+0.049881 
## [105]    train-mlogloss:0.013301+0.000132    test-mlogloss:0.987736+0.048866 
## [106]    train-mlogloss:0.013213+0.000127    test-mlogloss:0.988387+0.048955 
## [107]    train-mlogloss:0.013126+0.000126    test-mlogloss:0.989582+0.048859 
## [108]    train-mlogloss:0.013037+0.000122    test-mlogloss:0.991032+0.047651 
## [109]    train-mlogloss:0.012949+0.000117    test-mlogloss:0.991929+0.047852 
## [110]    train-mlogloss:0.012860+0.000104    test-mlogloss:0.993549+0.047370 
## [111]    train-mlogloss:0.012791+0.000103    test-mlogloss:0.993315+0.047410 
## [112]    train-mlogloss:0.012718+0.000101    test-mlogloss:0.994450+0.047852 
## [113]    train-mlogloss:0.012642+0.000106    test-mlogloss:0.994392+0.047155 
## [114]    train-mlogloss:0.012560+0.000097    test-mlogloss:0.994673+0.048216 
## [115]    train-mlogloss:0.012477+0.000092    test-mlogloss:0.994836+0.048374 
## [116]    train-mlogloss:0.012398+0.000085    test-mlogloss:0.996189+0.048163 
## [117]    train-mlogloss:0.012328+0.000076    test-mlogloss:0.996388+0.048287 
## [118]    train-mlogloss:0.012256+0.000073    test-mlogloss:0.997308+0.047385 
## [119]    train-mlogloss:0.012185+0.000067    test-mlogloss:0.998058+0.047774 
## [120]    train-mlogloss:0.012112+0.000068    test-mlogloss:0.999246+0.047533 
## [121]    train-mlogloss:0.012048+0.000065    test-mlogloss:1.000337+0.047179 
## [122]    train-mlogloss:0.011975+0.000060    test-mlogloss:1.001696+0.047176 
## [123]    train-mlogloss:0.011903+0.000061    test-mlogloss:1.001329+0.047534 
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## [125]    train-mlogloss:0.011768+0.000061    test-mlogloss:1.003320+0.047559 
## [126]    train-mlogloss:0.011704+0.000059    test-mlogloss:1.004552+0.047902 
## [127]    train-mlogloss:0.011640+0.000061    test-mlogloss:1.005902+0.047922 
## [128]    train-mlogloss:0.011573+0.000059    test-mlogloss:1.007770+0.047659 
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## [417]    train-mlogloss:0.005693+0.000049    test-mlogloss:1.120664+0.056148 
## [418]    train-mlogloss:0.005687+0.000048    test-mlogloss:1.121523+0.055610 
## [419]    train-mlogloss:0.005678+0.000047    test-mlogloss:1.121635+0.055699 
## [420]    train-mlogloss:0.005670+0.000048    test-mlogloss:1.121365+0.056446 
## [421]    train-mlogloss:0.005663+0.000047    test-mlogloss:1.121789+0.056294 
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## [423]    train-mlogloss:0.005649+0.000048    test-mlogloss:1.122166+0.056645 
## [424]    train-mlogloss:0.005641+0.000046    test-mlogloss:1.121665+0.056050 
## [425]    train-mlogloss:0.005633+0.000047    test-mlogloss:1.122284+0.056532 
## [426]    train-mlogloss:0.005627+0.000047    test-mlogloss:1.122584+0.056245 
## [427]    train-mlogloss:0.005621+0.000047    test-mlogloss:1.122869+0.056450 
## [428]    train-mlogloss:0.005614+0.000047    test-mlogloss:1.123222+0.055695 
## [429]    train-mlogloss:0.005606+0.000046    test-mlogloss:1.123325+0.055503 
## [430]    train-mlogloss:0.005598+0.000045    test-mlogloss:1.123489+0.055934 
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## [432]    train-mlogloss:0.005586+0.000044    test-mlogloss:1.124379+0.055037 
## [433]    train-mlogloss:0.005580+0.000045    test-mlogloss:1.123698+0.055247 
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## [435]    train-mlogloss:0.005565+0.000045    test-mlogloss:1.123935+0.054789 
## [436]    train-mlogloss:0.005557+0.000045    test-mlogloss:1.124613+0.054900 
## [437]    train-mlogloss:0.005550+0.000046    test-mlogloss:1.124498+0.054862 
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## [439]    train-mlogloss:0.005535+0.000042    test-mlogloss:1.125734+0.054972 
## [440]    train-mlogloss:0.005529+0.000042    test-mlogloss:1.125723+0.054694 
## [441]    train-mlogloss:0.005521+0.000042    test-mlogloss:1.125813+0.054902 
## [442]    train-mlogloss:0.005516+0.000042    test-mlogloss:1.126093+0.054720 
## [443]    train-mlogloss:0.005508+0.000043    test-mlogloss:1.126486+0.054660 
## [444]    train-mlogloss:0.005501+0.000043    test-mlogloss:1.126910+0.054851 
## [445]    train-mlogloss:0.005495+0.000044    test-mlogloss:1.126905+0.055352 
## [446]    train-mlogloss:0.005489+0.000044    test-mlogloss:1.127493+0.054629 
## [447]    train-mlogloss:0.005482+0.000045    test-mlogloss:1.127303+0.055002 
## [448]    train-mlogloss:0.005474+0.000045    test-mlogloss:1.128177+0.053939 
## [449]    train-mlogloss:0.005467+0.000046    test-mlogloss:1.128096+0.053874 
## [450]    train-mlogloss:0.005462+0.000045    test-mlogloss:1.128661+0.054386 
## [451]    train-mlogloss:0.005455+0.000044    test-mlogloss:1.129146+0.054134 
## [452]    train-mlogloss:0.005449+0.000045    test-mlogloss:1.129054+0.053223 
## [453]    train-mlogloss:0.005444+0.000045    test-mlogloss:1.128816+0.053581 
## [454]    train-mlogloss:0.005437+0.000045    test-mlogloss:1.129790+0.054112 
## [455]    train-mlogloss:0.005431+0.000045    test-mlogloss:1.129908+0.055106 
## [456]    train-mlogloss:0.005425+0.000044    test-mlogloss:1.130252+0.054931 
## [457]    train-mlogloss:0.005417+0.000044    test-mlogloss:1.130426+0.054392 
## [458]    train-mlogloss:0.005409+0.000044    test-mlogloss:1.129920+0.054560 
## [459]    train-mlogloss:0.005403+0.000044    test-mlogloss:1.130226+0.053916 
## [460]    train-mlogloss:0.005397+0.000042    test-mlogloss:1.131431+0.053119 
## [461]    train-mlogloss:0.005391+0.000041    test-mlogloss:1.131399+0.053055 
## [462]    train-mlogloss:0.005385+0.000043    test-mlogloss:1.131244+0.053772 
## [463]    train-mlogloss:0.005378+0.000042    test-mlogloss:1.131368+0.053219 
## [464]    train-mlogloss:0.005373+0.000043    test-mlogloss:1.131956+0.053706 
## [465]    train-mlogloss:0.005366+0.000042    test-mlogloss:1.131715+0.053453 
## [466]    train-mlogloss:0.005360+0.000041    test-mlogloss:1.132734+0.053583 
## [467]    train-mlogloss:0.005355+0.000041    test-mlogloss:1.132716+0.053819 
## [468]    train-mlogloss:0.005347+0.000041    test-mlogloss:1.133263+0.054616 
## [469]    train-mlogloss:0.005342+0.000041    test-mlogloss:1.133406+0.054618 
## [470]    train-mlogloss:0.005335+0.000041    test-mlogloss:1.134161+0.055015 
## [471]    train-mlogloss:0.005329+0.000040    test-mlogloss:1.134031+0.054986 
## [472]    train-mlogloss:0.005324+0.000040    test-mlogloss:1.134441+0.054624 
## [473]    train-mlogloss:0.005318+0.000041    test-mlogloss:1.134340+0.054421 
## [474]    train-mlogloss:0.005313+0.000041    test-mlogloss:1.135294+0.054824 
## [475]    train-mlogloss:0.005307+0.000041    test-mlogloss:1.135480+0.054630 
## [476]    train-mlogloss:0.005302+0.000040    test-mlogloss:1.136079+0.054931 
## [477]    train-mlogloss:0.005296+0.000041    test-mlogloss:1.135662+0.055272 
## [478]    train-mlogloss:0.005291+0.000041    test-mlogloss:1.136150+0.055180 
## [479]    train-mlogloss:0.005285+0.000040    test-mlogloss:1.136229+0.055422 
## [480]    train-mlogloss:0.005280+0.000040    test-mlogloss:1.136480+0.054957 
## [481]    train-mlogloss:0.005274+0.000042    test-mlogloss:1.136294+0.055027 
## [482]    train-mlogloss:0.005268+0.000042    test-mlogloss:1.136475+0.054293 
## [483]    train-mlogloss:0.005261+0.000040    test-mlogloss:1.136942+0.053976 
## [484]    train-mlogloss:0.005256+0.000038    test-mlogloss:1.136584+0.053902 
## [485]    train-mlogloss:0.005249+0.000037    test-mlogloss:1.136848+0.054013 
## [486]    train-mlogloss:0.005244+0.000037    test-mlogloss:1.136712+0.054145 
## [487]    train-mlogloss:0.005238+0.000036    test-mlogloss:1.137070+0.055005 
## [488]    train-mlogloss:0.005232+0.000036    test-mlogloss:1.137159+0.054595 
## [489]    train-mlogloss:0.005228+0.000036    test-mlogloss:1.137238+0.054583 
## [490]    train-mlogloss:0.005222+0.000035    test-mlogloss:1.137752+0.054358 
## [491]    train-mlogloss:0.005215+0.000036    test-mlogloss:1.137760+0.054536 
## [492]    train-mlogloss:0.005210+0.000035    test-mlogloss:1.137659+0.055148 
## [493]    train-mlogloss:0.005204+0.000035    test-mlogloss:1.138000+0.054990 
## [494]    train-mlogloss:0.005200+0.000034    test-mlogloss:1.138222+0.054788 
## [495]    train-mlogloss:0.005195+0.000034    test-mlogloss:1.138276+0.055044 
## [496]    train-mlogloss:0.005189+0.000034    test-mlogloss:1.138115+0.054505 
## [497]    train-mlogloss:0.005184+0.000033    test-mlogloss:1.138709+0.054533 
## [498]    train-mlogloss:0.005178+0.000032    test-mlogloss:1.138753+0.055523 
## [499]    train-mlogloss:0.005173+0.000032    test-mlogloss:1.139034+0.054979 
## [500]    train-mlogloss:0.005168+0.000032    test-mlogloss:1.138890+0.055720 
## [1]  train-mlogloss:0.614279+0.000563    test-mlogloss:0.621857+0.001594 
## [2]  train-mlogloss:0.569998+0.000762    test-mlogloss:0.583882+0.001975 
## [3]  train-mlogloss:0.542479+0.000944    test-mlogloss:0.562868+0.003963 
## [4]  train-mlogloss:0.525096+0.001090    test-mlogloss:0.550905+0.004267 
## [5]  train-mlogloss:0.512598+0.001187    test-mlogloss:0.544514+0.005119 
## [6]  train-mlogloss:0.503242+0.001250    test-mlogloss:0.541168+0.006404 
## [7]  train-mlogloss:0.496756+0.001418    test-mlogloss:0.538585+0.007334 
## [8]  train-mlogloss:0.491228+0.001171    test-mlogloss:0.537745+0.006889 
## [9]  train-mlogloss:0.486958+0.001248    test-mlogloss:0.537125+0.007365 
## [10] train-mlogloss:0.483215+0.001212    test-mlogloss:0.537074+0.006815 
## [11] train-mlogloss:0.480106+0.001947    test-mlogloss:0.537236+0.006793 
## [12] train-mlogloss:0.477552+0.001618    test-mlogloss:0.537507+0.006771 
## [13] train-mlogloss:0.475430+0.001352    test-mlogloss:0.537797+0.007065 
## [14] train-mlogloss:0.473006+0.001479    test-mlogloss:0.537904+0.007138 
## [15] train-mlogloss:0.471164+0.001786    test-mlogloss:0.538309+0.006974 
## [16] train-mlogloss:0.468657+0.001331    test-mlogloss:0.539432+0.007716 
## [17] train-mlogloss:0.466939+0.001594    test-mlogloss:0.539770+0.007611 
## [18] train-mlogloss:0.464485+0.000286    test-mlogloss:0.539646+0.007653 
## [19] train-mlogloss:0.461300+0.001500    test-mlogloss:0.540298+0.007208 
## [20] train-mlogloss:0.459599+0.001461    test-mlogloss:0.540512+0.007177 
## [21] train-mlogloss:0.457872+0.001382    test-mlogloss:0.540852+0.007166 
## [22] train-mlogloss:0.455593+0.001377    test-mlogloss:0.541675+0.007261 
## [23] train-mlogloss:0.454486+0.001060    test-mlogloss:0.542038+0.006980 
## [24] train-mlogloss:0.452857+0.001496    test-mlogloss:0.542764+0.007231 
## [25] train-mlogloss:0.450932+0.001488    test-mlogloss:0.543673+0.007375 
## [26] train-mlogloss:0.449428+0.001887    test-mlogloss:0.543912+0.007376 
## [27] train-mlogloss:0.448617+0.002149    test-mlogloss:0.544057+0.007223 
## [28] train-mlogloss:0.446399+0.002130    test-mlogloss:0.544180+0.007077 
## [29] train-mlogloss:0.444531+0.001670    test-mlogloss:0.545164+0.006201 
## [30] train-mlogloss:0.442189+0.002128    test-mlogloss:0.546567+0.007059 
## [31] train-mlogloss:0.439981+0.002506    test-mlogloss:0.547622+0.007840 
## [32] train-mlogloss:0.437266+0.003265    test-mlogloss:0.548705+0.008029 
## [33] train-mlogloss:0.435572+0.004299    test-mlogloss:0.548842+0.008049 
## [34] train-mlogloss:0.433079+0.004700    test-mlogloss:0.549695+0.008103 
## [35] train-mlogloss:0.431558+0.005487    test-mlogloss:0.549563+0.008144 
## [36] train-mlogloss:0.429026+0.005630    test-mlogloss:0.550459+0.008490 
## [37] train-mlogloss:0.426834+0.006066    test-mlogloss:0.550849+0.008729 
## [38] train-mlogloss:0.425054+0.005829    test-mlogloss:0.551290+0.008548 
## [39] train-mlogloss:0.422418+0.005028    test-mlogloss:0.552405+0.008512 
## [40] train-mlogloss:0.419710+0.005157    test-mlogloss:0.553024+0.008557 
## [41] train-mlogloss:0.417297+0.005357    test-mlogloss:0.553828+0.008325 
## [42] train-mlogloss:0.414621+0.006442    test-mlogloss:0.554596+0.008896 
## [43] train-mlogloss:0.412613+0.006818    test-mlogloss:0.555513+0.008585 
## [44] train-mlogloss:0.410523+0.006947    test-mlogloss:0.556556+0.008890 
## [45] train-mlogloss:0.408860+0.006355    test-mlogloss:0.557067+0.008671 
## [46] train-mlogloss:0.406675+0.006492    test-mlogloss:0.557892+0.008823 
## [47] train-mlogloss:0.404242+0.006168    test-mlogloss:0.558235+0.008816 
## [48] train-mlogloss:0.401412+0.007030    test-mlogloss:0.558759+0.008915 
## [49] train-mlogloss:0.400497+0.007301    test-mlogloss:0.559009+0.008930 
## [50] train-mlogloss:0.399056+0.007309    test-mlogloss:0.559427+0.008455 
## [51] train-mlogloss:0.397207+0.007200    test-mlogloss:0.559487+0.008464 
## [52] train-mlogloss:0.395222+0.006960    test-mlogloss:0.559822+0.008722 
## [53] train-mlogloss:0.393987+0.006644    test-mlogloss:0.560783+0.009037 
## [54] train-mlogloss:0.392177+0.007745    test-mlogloss:0.561395+0.009158 
## [55] train-mlogloss:0.390131+0.008433    test-mlogloss:0.561885+0.009690 
## [56] train-mlogloss:0.388081+0.008928    test-mlogloss:0.562493+0.009726 
## [57] train-mlogloss:0.386519+0.009368    test-mlogloss:0.562907+0.009956 
## [58] train-mlogloss:0.384454+0.008753    test-mlogloss:0.563110+0.009373 
## [59] train-mlogloss:0.382503+0.008817    test-mlogloss:0.563230+0.009757 
## [60] train-mlogloss:0.380698+0.008559    test-mlogloss:0.563966+0.009744 
## [61] train-mlogloss:0.379334+0.007884    test-mlogloss:0.564133+0.009752 
## [62] train-mlogloss:0.377821+0.007327    test-mlogloss:0.564612+0.009715 
## [63] train-mlogloss:0.375744+0.007254    test-mlogloss:0.564786+0.009940 
## [64] train-mlogloss:0.374417+0.007052    test-mlogloss:0.565455+0.009842 
## [65] train-mlogloss:0.372989+0.006673    test-mlogloss:0.565610+0.010078 
## [66] train-mlogloss:0.371625+0.007273    test-mlogloss:0.565841+0.010266 
## [67] train-mlogloss:0.369897+0.007577    test-mlogloss:0.565946+0.010094 
## [68] train-mlogloss:0.368101+0.007666    test-mlogloss:0.566272+0.010348 
## [69] train-mlogloss:0.366487+0.008126    test-mlogloss:0.566805+0.010653 
## [70] train-mlogloss:0.365080+0.007997    test-mlogloss:0.566825+0.010864 
## [71] train-mlogloss:0.363101+0.008083    test-mlogloss:0.567254+0.010420 
## [72] train-mlogloss:0.361831+0.007439    test-mlogloss:0.567761+0.010810 
## [73] train-mlogloss:0.359756+0.007242    test-mlogloss:0.568762+0.010961 
## [74] train-mlogloss:0.358143+0.006245    test-mlogloss:0.569398+0.010715 
## [75] train-mlogloss:0.356894+0.006634    test-mlogloss:0.569291+0.010325 
## [76] train-mlogloss:0.355127+0.006417    test-mlogloss:0.569405+0.010030 
## [77] train-mlogloss:0.353883+0.006564    test-mlogloss:0.569565+0.010398 
## [78] train-mlogloss:0.351775+0.006615    test-mlogloss:0.569997+0.010630 
## [79] train-mlogloss:0.350349+0.006715    test-mlogloss:0.569722+0.010784 
## [80] train-mlogloss:0.348694+0.006067    test-mlogloss:0.570585+0.011104 
## [81] train-mlogloss:0.346601+0.005523    test-mlogloss:0.571291+0.011174 
## [82] train-mlogloss:0.345229+0.005444    test-mlogloss:0.571418+0.011510 
## [83] train-mlogloss:0.343425+0.005923    test-mlogloss:0.572502+0.011610 
## [84] train-mlogloss:0.341948+0.005886    test-mlogloss:0.572864+0.011971 
## [85] train-mlogloss:0.340910+0.006231    test-mlogloss:0.573717+0.011929 
## [86] train-mlogloss:0.339627+0.006195    test-mlogloss:0.574290+0.012055 
## [87] train-mlogloss:0.338704+0.006046    test-mlogloss:0.574454+0.011999 
## [88] train-mlogloss:0.336730+0.005714    test-mlogloss:0.574653+0.011967 
## [89] train-mlogloss:0.335095+0.005314    test-mlogloss:0.575155+0.012640 
## [90] train-mlogloss:0.334009+0.006029    test-mlogloss:0.575455+0.012447 
## [91] train-mlogloss:0.332619+0.006129    test-mlogloss:0.576166+0.012306 
## [92] train-mlogloss:0.331150+0.005956    test-mlogloss:0.576901+0.011855 
## [93] train-mlogloss:0.329169+0.005939    test-mlogloss:0.577389+0.012009 
## [94] train-mlogloss:0.327997+0.005065    test-mlogloss:0.577553+0.011981 
## [95] train-mlogloss:0.327017+0.005266    test-mlogloss:0.578088+0.012526 
## [96] train-mlogloss:0.325537+0.005446    test-mlogloss:0.579024+0.012293 
## [97] train-mlogloss:0.324250+0.005538    test-mlogloss:0.579205+0.012041 
## [98] train-mlogloss:0.322699+0.005233    test-mlogloss:0.579391+0.012003 
## [99] train-mlogloss:0.321362+0.005006    test-mlogloss:0.580097+0.011830 
## [100]    train-mlogloss:0.319645+0.004915    test-mlogloss:0.580756+0.011631 
## [101]    train-mlogloss:0.318486+0.004746    test-mlogloss:0.580967+0.011617 
## [102]    train-mlogloss:0.317277+0.004199    test-mlogloss:0.581437+0.011594 
## [103]    train-mlogloss:0.316719+0.004529    test-mlogloss:0.581699+0.011563 
## [104]    train-mlogloss:0.316066+0.004340    test-mlogloss:0.582126+0.011699 
## [105]    train-mlogloss:0.315128+0.004397    test-mlogloss:0.582673+0.011811 
## [106]    train-mlogloss:0.313653+0.004185    test-mlogloss:0.583173+0.011668 
## [107]    train-mlogloss:0.312815+0.004434    test-mlogloss:0.583527+0.011883 
## [108]    train-mlogloss:0.312230+0.004606    test-mlogloss:0.583897+0.011999 
## [109]    train-mlogloss:0.310102+0.004724    test-mlogloss:0.584325+0.012187 
## [110]    train-mlogloss:0.308830+0.004981    test-mlogloss:0.584840+0.012181 
## [111]    train-mlogloss:0.307231+0.005639    test-mlogloss:0.585295+0.012432 
## [112]    train-mlogloss:0.306230+0.005949    test-mlogloss:0.585405+0.012751 
## [113]    train-mlogloss:0.305123+0.006035    test-mlogloss:0.585517+0.013074 
## [114]    train-mlogloss:0.303725+0.005812    test-mlogloss:0.586391+0.012814 
## [115]    train-mlogloss:0.302086+0.005768    test-mlogloss:0.586354+0.012611 
## [116]    train-mlogloss:0.300467+0.005028    test-mlogloss:0.586350+0.012444 
## [117]    train-mlogloss:0.299339+0.004481    test-mlogloss:0.587176+0.012402 
## [118]    train-mlogloss:0.297571+0.003949    test-mlogloss:0.588236+0.012756 
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## [500]    train-mlogloss:0.081012+0.003992    test-mlogloss:0.737854+0.015223 
## [1]  train-mlogloss:0.570942+0.000917    test-mlogloss:0.628982+0.003534 
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## [8]  train-mlogloss:0.263253+0.001795    test-mlogloss:0.584552+0.009320 
## [9]  train-mlogloss:0.243655+0.001447    test-mlogloss:0.589617+0.009146 
## [10] train-mlogloss:0.226785+0.001825    test-mlogloss:0.595528+0.009971 
## [11] train-mlogloss:0.212043+0.002403    test-mlogloss:0.599260+0.010843 
## [12] train-mlogloss:0.200278+0.001510    test-mlogloss:0.602039+0.009860 
## [13] train-mlogloss:0.188356+0.001502    test-mlogloss:0.605534+0.010346 
## [14] train-mlogloss:0.179286+0.001942    test-mlogloss:0.608135+0.010706 
## [15] train-mlogloss:0.170160+0.001927    test-mlogloss:0.611685+0.011650 
## [16] train-mlogloss:0.162904+0.002908    test-mlogloss:0.615753+0.013683 
## [17] train-mlogloss:0.156821+0.002849    test-mlogloss:0.618610+0.014841 
## [18] train-mlogloss:0.151066+0.004288    test-mlogloss:0.621360+0.016372 
## [19] train-mlogloss:0.145647+0.005672    test-mlogloss:0.625209+0.017253 
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## [22] train-mlogloss:0.133222+0.009509    test-mlogloss:0.633274+0.020331 
## [23] train-mlogloss:0.129231+0.009858    test-mlogloss:0.636821+0.021374 
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## [25] train-mlogloss:0.122902+0.009883    test-mlogloss:0.640215+0.021375 
## [26] train-mlogloss:0.119488+0.009189    test-mlogloss:0.642392+0.021084 
## [27] train-mlogloss:0.116912+0.008640    test-mlogloss:0.644365+0.020292 
## [28] train-mlogloss:0.113256+0.007875    test-mlogloss:0.647033+0.020334 
## [29] train-mlogloss:0.110228+0.008437    test-mlogloss:0.650361+0.021091 
## [30] train-mlogloss:0.107168+0.007956    test-mlogloss:0.653586+0.021543 
## [31] train-mlogloss:0.104950+0.007084    test-mlogloss:0.654967+0.021134 
## [32] train-mlogloss:0.103012+0.006141    test-mlogloss:0.656771+0.020719 
## [33] train-mlogloss:0.099709+0.006195    test-mlogloss:0.659907+0.021460 
## [34] train-mlogloss:0.097666+0.006120    test-mlogloss:0.661810+0.021232 
## [35] train-mlogloss:0.095248+0.005415    test-mlogloss:0.663854+0.021341 
## [36] train-mlogloss:0.093199+0.004551    test-mlogloss:0.665949+0.020335 
## [37] train-mlogloss:0.091608+0.004946    test-mlogloss:0.667380+0.021157 
## [38] train-mlogloss:0.089496+0.004183    test-mlogloss:0.669315+0.020362 
## [39] train-mlogloss:0.087411+0.003602    test-mlogloss:0.671789+0.019548 
## [40] train-mlogloss:0.085284+0.003180    test-mlogloss:0.673270+0.019586 
## [41] train-mlogloss:0.083458+0.003123    test-mlogloss:0.675563+0.019913 
## [42] train-mlogloss:0.081212+0.002881    test-mlogloss:0.678729+0.019744 
## [43] train-mlogloss:0.079618+0.002706    test-mlogloss:0.680671+0.019808 
## [44] train-mlogloss:0.077929+0.002436    test-mlogloss:0.682475+0.019550 
## [45] train-mlogloss:0.076493+0.002113    test-mlogloss:0.683935+0.019661 
## [46] train-mlogloss:0.074665+0.001989    test-mlogloss:0.686138+0.019411 
## [47] train-mlogloss:0.073054+0.001584    test-mlogloss:0.688879+0.018999 
## [48] train-mlogloss:0.071643+0.001706    test-mlogloss:0.690782+0.018909 
## [49] train-mlogloss:0.070298+0.001535    test-mlogloss:0.692818+0.019001 
## [50] train-mlogloss:0.068813+0.001441    test-mlogloss:0.694874+0.018835 
## [51] train-mlogloss:0.067772+0.001521    test-mlogloss:0.696620+0.018644 
## [52] train-mlogloss:0.066323+0.001645    test-mlogloss:0.698924+0.018070 
## [53] train-mlogloss:0.065354+0.001349    test-mlogloss:0.700501+0.018201 
## [54] train-mlogloss:0.064163+0.001310    test-mlogloss:0.702914+0.018031 
## [55] train-mlogloss:0.063391+0.001149    test-mlogloss:0.704380+0.018349 
## [56] train-mlogloss:0.062594+0.001140    test-mlogloss:0.705121+0.018318 
## [57] train-mlogloss:0.061728+0.000940    test-mlogloss:0.706298+0.018235 
## [58] train-mlogloss:0.060546+0.000874    test-mlogloss:0.708210+0.017765 
## [59] train-mlogloss:0.059494+0.000691    test-mlogloss:0.710159+0.017851 
## [60] train-mlogloss:0.058729+0.000766    test-mlogloss:0.711902+0.017832 
## [61] train-mlogloss:0.057605+0.000775    test-mlogloss:0.713442+0.017532 
## [62] train-mlogloss:0.056749+0.000871    test-mlogloss:0.714379+0.017710 
## [63] train-mlogloss:0.055855+0.000933    test-mlogloss:0.715889+0.017881 
## [64] train-mlogloss:0.054992+0.001037    test-mlogloss:0.717691+0.018258 
## [65] train-mlogloss:0.054170+0.000850    test-mlogloss:0.719164+0.018581 
## [66] train-mlogloss:0.053390+0.000909    test-mlogloss:0.720676+0.018931 
## [67] train-mlogloss:0.052551+0.000869    test-mlogloss:0.722250+0.019149 
## [68] train-mlogloss:0.051923+0.001019    test-mlogloss:0.723457+0.019346 
## [69] train-mlogloss:0.051278+0.000923    test-mlogloss:0.725241+0.019064 
## [70] train-mlogloss:0.050626+0.001056    test-mlogloss:0.727031+0.019576 
## [71] train-mlogloss:0.049936+0.001175    test-mlogloss:0.728960+0.018979 
## [72] train-mlogloss:0.049247+0.001090    test-mlogloss:0.730839+0.018540 
## [73] train-mlogloss:0.048648+0.000888    test-mlogloss:0.732269+0.018597 
## [74] train-mlogloss:0.048018+0.000998    test-mlogloss:0.733662+0.019042 
## [75] train-mlogloss:0.047549+0.001057    test-mlogloss:0.734295+0.019359 
## [76] train-mlogloss:0.046868+0.001064    test-mlogloss:0.735645+0.020476 
## [77] train-mlogloss:0.046243+0.001026    test-mlogloss:0.737422+0.020296 
## [78] train-mlogloss:0.045754+0.001139    test-mlogloss:0.739145+0.020435 
## [79] train-mlogloss:0.045208+0.001089    test-mlogloss:0.741218+0.020020 
## [80] train-mlogloss:0.044617+0.001008    test-mlogloss:0.742947+0.020120 
## [81] train-mlogloss:0.044057+0.000927    test-mlogloss:0.744528+0.020292 
## [82] train-mlogloss:0.043541+0.000773    test-mlogloss:0.746927+0.019884 
## [83] train-mlogloss:0.042918+0.000666    test-mlogloss:0.748457+0.020030 
## [84] train-mlogloss:0.042340+0.000620    test-mlogloss:0.749553+0.019871 
## [85] train-mlogloss:0.041804+0.000693    test-mlogloss:0.750837+0.019687 
## [86] train-mlogloss:0.041227+0.000660    test-mlogloss:0.752600+0.019601 
## [87] train-mlogloss:0.040749+0.000783    test-mlogloss:0.753828+0.020180 
## [88] train-mlogloss:0.040351+0.000809    test-mlogloss:0.755108+0.019638 
## [89] train-mlogloss:0.039909+0.000801    test-mlogloss:0.756750+0.020171 
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## [91] train-mlogloss:0.039013+0.000723    test-mlogloss:0.758869+0.020222 
## [92] train-mlogloss:0.038693+0.000710    test-mlogloss:0.759378+0.020245 
## [93] train-mlogloss:0.038291+0.000722    test-mlogloss:0.760989+0.020122 
## [94] train-mlogloss:0.037788+0.000681    test-mlogloss:0.762266+0.020326 
## [95] train-mlogloss:0.037414+0.000626    test-mlogloss:0.763123+0.020567 
## [96] train-mlogloss:0.037043+0.000676    test-mlogloss:0.764721+0.020787 
## [97] train-mlogloss:0.036718+0.000707    test-mlogloss:0.765173+0.020709 
## [98] train-mlogloss:0.036332+0.000672    test-mlogloss:0.766688+0.020162 
## [99] train-mlogloss:0.035913+0.000641    test-mlogloss:0.768046+0.019883 
## [100]    train-mlogloss:0.035513+0.000621    test-mlogloss:0.769478+0.020760 
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## [438]    train-mlogloss:0.009878+0.000050    test-mlogloss:0.944126+0.028621 
## [439]    train-mlogloss:0.009863+0.000050    test-mlogloss:0.944276+0.028584 
## [440]    train-mlogloss:0.009849+0.000049    test-mlogloss:0.944855+0.028671 
## [441]    train-mlogloss:0.009833+0.000049    test-mlogloss:0.945140+0.028572 
## [442]    train-mlogloss:0.009817+0.000050    test-mlogloss:0.945549+0.028446 
## [443]    train-mlogloss:0.009802+0.000050    test-mlogloss:0.945613+0.028550 
## [444]    train-mlogloss:0.009787+0.000051    test-mlogloss:0.945764+0.028642 
## [445]    train-mlogloss:0.009773+0.000050    test-mlogloss:0.946088+0.028670 
## [446]    train-mlogloss:0.009757+0.000050    test-mlogloss:0.946080+0.028690 
## [447]    train-mlogloss:0.009743+0.000051    test-mlogloss:0.946159+0.028429 
## [448]    train-mlogloss:0.009727+0.000050    test-mlogloss:0.946405+0.028446 
## [449]    train-mlogloss:0.009712+0.000049    test-mlogloss:0.946732+0.028469 
## [450]    train-mlogloss:0.009698+0.000051    test-mlogloss:0.946861+0.028567 
## [451]    train-mlogloss:0.009681+0.000051    test-mlogloss:0.947341+0.028632 
## [452]    train-mlogloss:0.009667+0.000051    test-mlogloss:0.947581+0.028396 
## [453]    train-mlogloss:0.009651+0.000051    test-mlogloss:0.947759+0.028281 
## [454]    train-mlogloss:0.009636+0.000049    test-mlogloss:0.948191+0.028377 
## [455]    train-mlogloss:0.009620+0.000050    test-mlogloss:0.948153+0.028335 
## [456]    train-mlogloss:0.009604+0.000050    test-mlogloss:0.948397+0.028564 
## [457]    train-mlogloss:0.009590+0.000050    test-mlogloss:0.948728+0.028785 
## [458]    train-mlogloss:0.009577+0.000050    test-mlogloss:0.949039+0.028716 
## [459]    train-mlogloss:0.009563+0.000049    test-mlogloss:0.949197+0.028822 
## [460]    train-mlogloss:0.009550+0.000049    test-mlogloss:0.949319+0.028699 
## [461]    train-mlogloss:0.009536+0.000049    test-mlogloss:0.949379+0.028810 
## [462]    train-mlogloss:0.009522+0.000048    test-mlogloss:0.949638+0.028792 
## [463]    train-mlogloss:0.009509+0.000048    test-mlogloss:0.949993+0.028785 
## [464]    train-mlogloss:0.009495+0.000048    test-mlogloss:0.950274+0.028828 
## [465]    train-mlogloss:0.009481+0.000047    test-mlogloss:0.950529+0.029024 
## [466]    train-mlogloss:0.009465+0.000047    test-mlogloss:0.950744+0.028935 
## [467]    train-mlogloss:0.009452+0.000045    test-mlogloss:0.950885+0.028846 
## [468]    train-mlogloss:0.009437+0.000045    test-mlogloss:0.950905+0.028770 
## [469]    train-mlogloss:0.009426+0.000046    test-mlogloss:0.951028+0.028581 
## [470]    train-mlogloss:0.009413+0.000046    test-mlogloss:0.951281+0.028836 
## [471]    train-mlogloss:0.009397+0.000048    test-mlogloss:0.951597+0.028966 
## [472]    train-mlogloss:0.009384+0.000050    test-mlogloss:0.951790+0.028708 
## [473]    train-mlogloss:0.009371+0.000050    test-mlogloss:0.951846+0.028831 
## [474]    train-mlogloss:0.009356+0.000048    test-mlogloss:0.952167+0.028600 
## [475]    train-mlogloss:0.009343+0.000049    test-mlogloss:0.952348+0.028603 
## [476]    train-mlogloss:0.009330+0.000050    test-mlogloss:0.952388+0.028574 
## [477]    train-mlogloss:0.009317+0.000049    test-mlogloss:0.952729+0.028693 
## [478]    train-mlogloss:0.009304+0.000049    test-mlogloss:0.952957+0.028712 
## [479]    train-mlogloss:0.009291+0.000048    test-mlogloss:0.953065+0.028525 
## [480]    train-mlogloss:0.009276+0.000050    test-mlogloss:0.953418+0.028711 
## [481]    train-mlogloss:0.009264+0.000051    test-mlogloss:0.953599+0.028805 
## [482]    train-mlogloss:0.009250+0.000050    test-mlogloss:0.953713+0.029081 
## [483]    train-mlogloss:0.009237+0.000049    test-mlogloss:0.953897+0.029114 
## [484]    train-mlogloss:0.009224+0.000049    test-mlogloss:0.954033+0.029186 
## [485]    train-mlogloss:0.009212+0.000049    test-mlogloss:0.954191+0.029302 
## [486]    train-mlogloss:0.009199+0.000048    test-mlogloss:0.954344+0.029667 
## [487]    train-mlogloss:0.009185+0.000048    test-mlogloss:0.954641+0.029570 
## [488]    train-mlogloss:0.009172+0.000047    test-mlogloss:0.954964+0.029566 
## [489]    train-mlogloss:0.009159+0.000045    test-mlogloss:0.955100+0.029406 
## [490]    train-mlogloss:0.009146+0.000044    test-mlogloss:0.955308+0.029338 
## [491]    train-mlogloss:0.009134+0.000044    test-mlogloss:0.955607+0.029203 
## [492]    train-mlogloss:0.009121+0.000044    test-mlogloss:0.956039+0.029076 
## [493]    train-mlogloss:0.009110+0.000044    test-mlogloss:0.956001+0.028954 
## [494]    train-mlogloss:0.009097+0.000044    test-mlogloss:0.956295+0.029111 
## [495]    train-mlogloss:0.009084+0.000044    test-mlogloss:0.956406+0.028979 
## [496]    train-mlogloss:0.009071+0.000043    test-mlogloss:0.956556+0.029173 
## [497]    train-mlogloss:0.009059+0.000045    test-mlogloss:0.956765+0.029102 
## [498]    train-mlogloss:0.009046+0.000044    test-mlogloss:0.957055+0.029208 
## [499]    train-mlogloss:0.009033+0.000045    test-mlogloss:0.957104+0.029187 
## [500]    train-mlogloss:0.009021+0.000045    test-mlogloss:0.957117+0.029107 
## [1]  train-mlogloss:0.538100+0.002562    test-mlogloss:0.558682+0.007809 
## [2]  train-mlogloss:0.509347+0.002564    test-mlogloss:0.546213+0.007028 
## [3]  train-mlogloss:0.497711+0.003005    test-mlogloss:0.545543+0.007404 
## [4]  train-mlogloss:0.489588+0.004225    test-mlogloss:0.547277+0.009693 
## [5]  train-mlogloss:0.484243+0.004696    test-mlogloss:0.549234+0.009120 
## [6]  train-mlogloss:0.479975+0.006649    test-mlogloss:0.551553+0.010973 
## [7]  train-mlogloss:0.474752+0.004999    test-mlogloss:0.554037+0.012336 
## [8]  train-mlogloss:0.469654+0.005276    test-mlogloss:0.557526+0.012897 
## [9]  train-mlogloss:0.462077+0.005260    test-mlogloss:0.562667+0.011630 
## [10] train-mlogloss:0.456146+0.006326    test-mlogloss:0.564973+0.012041 
## [11] train-mlogloss:0.450216+0.004768    test-mlogloss:0.566770+0.011309 
## [12] train-mlogloss:0.444613+0.003875    test-mlogloss:0.570199+0.010987 
## [13] train-mlogloss:0.438975+0.002211    test-mlogloss:0.573404+0.010007 
## [14] train-mlogloss:0.432589+0.002163    test-mlogloss:0.576716+0.011006 
## [15] train-mlogloss:0.426869+0.004206    test-mlogloss:0.578244+0.011047 
## [16] train-mlogloss:0.422031+0.004004    test-mlogloss:0.580295+0.010147 
## [17] train-mlogloss:0.416675+0.004980    test-mlogloss:0.583521+0.008868 
## [18] train-mlogloss:0.412244+0.003733    test-mlogloss:0.585255+0.010608 
## [19] train-mlogloss:0.406124+0.001836    test-mlogloss:0.590125+0.011573 
## [20] train-mlogloss:0.401144+0.004023    test-mlogloss:0.592844+0.009887 
## [21] train-mlogloss:0.396485+0.001927    test-mlogloss:0.596405+0.012382 
## [22] train-mlogloss:0.392608+0.000772    test-mlogloss:0.599303+0.014346 
## [23] train-mlogloss:0.388494+0.002131    test-mlogloss:0.602011+0.014721 
## [24] train-mlogloss:0.383780+0.003581    test-mlogloss:0.604483+0.015591 
## [25] train-mlogloss:0.379837+0.004445    test-mlogloss:0.606367+0.017264 
## [26] train-mlogloss:0.374651+0.005172    test-mlogloss:0.609822+0.018052 
## [27] train-mlogloss:0.367870+0.005231    test-mlogloss:0.613124+0.018501 
## [28] train-mlogloss:0.363992+0.007109    test-mlogloss:0.615662+0.017943 
## [29] train-mlogloss:0.359095+0.007297    test-mlogloss:0.618270+0.017955 
## [30] train-mlogloss:0.354845+0.006844    test-mlogloss:0.620182+0.017764 
## [31] train-mlogloss:0.350308+0.006729    test-mlogloss:0.623170+0.018103 
## [32] train-mlogloss:0.346256+0.007558    test-mlogloss:0.625241+0.018662 
## [33] train-mlogloss:0.341257+0.008782    test-mlogloss:0.628621+0.019337 
## [34] train-mlogloss:0.336979+0.010110    test-mlogloss:0.629488+0.018535 
## [35] train-mlogloss:0.331730+0.008040    test-mlogloss:0.631745+0.018931 
## [36] train-mlogloss:0.327477+0.007750    test-mlogloss:0.634535+0.018023 
## [37] train-mlogloss:0.324928+0.006849    test-mlogloss:0.636821+0.017879 
## [38] train-mlogloss:0.320627+0.006657    test-mlogloss:0.636637+0.017506 
## [39] train-mlogloss:0.316789+0.005777    test-mlogloss:0.639132+0.017926 
## [40] train-mlogloss:0.312542+0.005188    test-mlogloss:0.643633+0.016451 
## [41] train-mlogloss:0.309883+0.005674    test-mlogloss:0.646819+0.015995 
## [42] train-mlogloss:0.305488+0.005893    test-mlogloss:0.650338+0.016114 
## [43] train-mlogloss:0.301492+0.007271    test-mlogloss:0.653290+0.018547 
## [44] train-mlogloss:0.297781+0.007287    test-mlogloss:0.655174+0.018447 
## [45] train-mlogloss:0.293637+0.006816    test-mlogloss:0.658189+0.018342 
## [46] train-mlogloss:0.290147+0.005789    test-mlogloss:0.661038+0.018468 
## [47] train-mlogloss:0.287067+0.005545    test-mlogloss:0.663379+0.018631 
## [48] train-mlogloss:0.283631+0.005701    test-mlogloss:0.666450+0.019601 
## [49] train-mlogloss:0.281835+0.005455    test-mlogloss:0.666718+0.019948 
## [50] train-mlogloss:0.277328+0.005652    test-mlogloss:0.670164+0.021330 
## [51] train-mlogloss:0.274510+0.005482    test-mlogloss:0.672561+0.022573 
## [52] train-mlogloss:0.272039+0.004765    test-mlogloss:0.675252+0.023122 
## [53] train-mlogloss:0.267025+0.005958    test-mlogloss:0.679043+0.024486 
## [54] train-mlogloss:0.263895+0.006130    test-mlogloss:0.681356+0.022884 
## [55] train-mlogloss:0.260883+0.005959    test-mlogloss:0.681860+0.023147 
## [56] train-mlogloss:0.258073+0.006813    test-mlogloss:0.684449+0.024545 
## [57] train-mlogloss:0.255513+0.006407    test-mlogloss:0.686992+0.024000 
## [58] train-mlogloss:0.253548+0.005669    test-mlogloss:0.687860+0.022901 
## [59] train-mlogloss:0.251254+0.005354    test-mlogloss:0.690244+0.022440 
## [60] train-mlogloss:0.248298+0.005924    test-mlogloss:0.691803+0.022318 
## [61] train-mlogloss:0.245781+0.005950    test-mlogloss:0.694207+0.022751 
## [62] train-mlogloss:0.243479+0.006479    test-mlogloss:0.697345+0.023424 
## [63] train-mlogloss:0.240442+0.007297    test-mlogloss:0.700902+0.025899 
## [64] train-mlogloss:0.237417+0.007967    test-mlogloss:0.702063+0.027387 
## [65] train-mlogloss:0.234651+0.008208    test-mlogloss:0.703292+0.028735 
## [66] train-mlogloss:0.232522+0.008933    test-mlogloss:0.704933+0.029250 
## [67] train-mlogloss:0.230010+0.009470    test-mlogloss:0.707722+0.029511 
## [68] train-mlogloss:0.228052+0.009905    test-mlogloss:0.709531+0.029259 
## [69] train-mlogloss:0.225638+0.010521    test-mlogloss:0.710262+0.029360 
## [70] train-mlogloss:0.222785+0.011322    test-mlogloss:0.714110+0.031062 
## [71] train-mlogloss:0.219987+0.010702    test-mlogloss:0.715462+0.030580 
## [72] train-mlogloss:0.217906+0.010782    test-mlogloss:0.717741+0.029305 
## [73] train-mlogloss:0.214605+0.010482    test-mlogloss:0.719645+0.028780 
## [74] train-mlogloss:0.212129+0.010284    test-mlogloss:0.723632+0.026391 
## [75] train-mlogloss:0.209422+0.010832    test-mlogloss:0.724836+0.028177 
## [76] train-mlogloss:0.207411+0.010881    test-mlogloss:0.727870+0.029270 
## [77] train-mlogloss:0.204344+0.010269    test-mlogloss:0.730727+0.029774 
## [78] train-mlogloss:0.202332+0.009830    test-mlogloss:0.732750+0.029660 
## [79] train-mlogloss:0.200430+0.009894    test-mlogloss:0.734425+0.030592 
## [80] train-mlogloss:0.198269+0.009786    test-mlogloss:0.734825+0.030442 
## [81] train-mlogloss:0.195621+0.009233    test-mlogloss:0.736458+0.029420 
## [82] train-mlogloss:0.192658+0.009874    test-mlogloss:0.739197+0.030216 
## [83] train-mlogloss:0.190857+0.010279    test-mlogloss:0.740242+0.030605 
## [84] train-mlogloss:0.188164+0.009970    test-mlogloss:0.741866+0.031268 
## [85] train-mlogloss:0.186421+0.008978    test-mlogloss:0.742610+0.031100 
## [86] train-mlogloss:0.184461+0.008519    test-mlogloss:0.744056+0.031247 
## [87] train-mlogloss:0.181997+0.007482    test-mlogloss:0.745886+0.030945 
## [88] train-mlogloss:0.179953+0.007055    test-mlogloss:0.747516+0.032567 
## [89] train-mlogloss:0.177174+0.007569    test-mlogloss:0.748842+0.031369 
## [90] train-mlogloss:0.175108+0.007204    test-mlogloss:0.750311+0.031575 
## [91] train-mlogloss:0.173325+0.007838    test-mlogloss:0.751351+0.033152 
## [92] train-mlogloss:0.170945+0.007433    test-mlogloss:0.754438+0.033096 
## [93] train-mlogloss:0.168236+0.007648    test-mlogloss:0.757082+0.032403 
## [94] train-mlogloss:0.166606+0.007722    test-mlogloss:0.758716+0.032336 
## [95] train-mlogloss:0.165210+0.007608    test-mlogloss:0.760471+0.032551 
## [96] train-mlogloss:0.163701+0.007454    test-mlogloss:0.760469+0.031685 
## [97] train-mlogloss:0.162549+0.006677    test-mlogloss:0.761826+0.031612 
## [98] train-mlogloss:0.160678+0.006889    test-mlogloss:0.763390+0.032511 
## [99] train-mlogloss:0.159429+0.006902    test-mlogloss:0.765330+0.031849 
## [100]    train-mlogloss:0.158002+0.006874    test-mlogloss:0.766841+0.032475 
## [101]    train-mlogloss:0.156289+0.006923    test-mlogloss:0.768525+0.032860 
## [102]    train-mlogloss:0.154366+0.007108    test-mlogloss:0.769715+0.032734 
## [103]    train-mlogloss:0.152965+0.007285    test-mlogloss:0.772468+0.033966 
## [104]    train-mlogloss:0.150837+0.006647    test-mlogloss:0.776112+0.035558 
## [105]    train-mlogloss:0.149227+0.006413    test-mlogloss:0.776840+0.034418 
## [106]    train-mlogloss:0.147461+0.005958    test-mlogloss:0.778689+0.033545 
## [107]    train-mlogloss:0.145518+0.006477    test-mlogloss:0.781684+0.034164 
## [108]    train-mlogloss:0.144102+0.006650    test-mlogloss:0.783802+0.034506 
## [109]    train-mlogloss:0.142490+0.006809    test-mlogloss:0.785847+0.034334 
## [110]    train-mlogloss:0.141303+0.006741    test-mlogloss:0.786672+0.034373 
## [111]    train-mlogloss:0.139357+0.006910    test-mlogloss:0.788883+0.033951 
## [112]    train-mlogloss:0.137391+0.006388    test-mlogloss:0.789780+0.035407 
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## [114]    train-mlogloss:0.134731+0.006079    test-mlogloss:0.790697+0.034848 
## [115]    train-mlogloss:0.133737+0.006376    test-mlogloss:0.792705+0.034637 
## [116]    train-mlogloss:0.132106+0.006478    test-mlogloss:0.793682+0.033000 
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## [118]    train-mlogloss:0.129476+0.006470    test-mlogloss:0.795717+0.032145 
## [119]    train-mlogloss:0.128302+0.006491    test-mlogloss:0.796282+0.033096 
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## [121]    train-mlogloss:0.125922+0.005678    test-mlogloss:0.799276+0.033058 
## [122]    train-mlogloss:0.124710+0.005058    test-mlogloss:0.800220+0.033773 
## [123]    train-mlogloss:0.123270+0.004845    test-mlogloss:0.801608+0.034163 
## [124]    train-mlogloss:0.121808+0.004965    test-mlogloss:0.803067+0.033343 
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## [126]    train-mlogloss:0.119602+0.004746    test-mlogloss:0.805149+0.033270 
## [127]    train-mlogloss:0.118255+0.005078    test-mlogloss:0.807787+0.031329 
## [128]    train-mlogloss:0.117066+0.004594    test-mlogloss:0.808728+0.031753 
## [129]    train-mlogloss:0.116023+0.004698    test-mlogloss:0.810143+0.031540 
## [130]    train-mlogloss:0.114602+0.004543    test-mlogloss:0.811524+0.032192 
## [131]    train-mlogloss:0.113452+0.004590    test-mlogloss:0.811784+0.032546 
## [132]    train-mlogloss:0.112485+0.004729    test-mlogloss:0.812021+0.032308 
## [133]    train-mlogloss:0.111275+0.004801    test-mlogloss:0.814435+0.032403 
## [134]    train-mlogloss:0.110122+0.004990    test-mlogloss:0.816168+0.033050 
## [135]    train-mlogloss:0.109081+0.005328    test-mlogloss:0.818502+0.034784 
## [136]    train-mlogloss:0.107973+0.005012    test-mlogloss:0.820120+0.035046 
## [137]    train-mlogloss:0.106984+0.004800    test-mlogloss:0.822270+0.034852 
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## [140]    train-mlogloss:0.104649+0.004182    test-mlogloss:0.826247+0.036326 
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## [386]    train-mlogloss:0.020737+0.000514    test-mlogloss:1.064612+0.050200 
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## [389]    train-mlogloss:0.020480+0.000516    test-mlogloss:1.067701+0.051119 
## [390]    train-mlogloss:0.020395+0.000520    test-mlogloss:1.067997+0.050764 
## [391]    train-mlogloss:0.020289+0.000525    test-mlogloss:1.068518+0.050148 
## [392]    train-mlogloss:0.020204+0.000491    test-mlogloss:1.069255+0.049695 
## [393]    train-mlogloss:0.020105+0.000499    test-mlogloss:1.070075+0.050012 
## [394]    train-mlogloss:0.020039+0.000487    test-mlogloss:1.070552+0.050382 
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## [396]    train-mlogloss:0.019885+0.000456    test-mlogloss:1.071918+0.050247 
## [397]    train-mlogloss:0.019788+0.000473    test-mlogloss:1.072429+0.050454 
## [398]    train-mlogloss:0.019714+0.000460    test-mlogloss:1.072787+0.050398 
## [399]    train-mlogloss:0.019656+0.000446    test-mlogloss:1.072930+0.050511 
## [400]    train-mlogloss:0.019559+0.000474    test-mlogloss:1.074301+0.050037 
## [401]    train-mlogloss:0.019478+0.000500    test-mlogloss:1.073919+0.049729 
## [402]    train-mlogloss:0.019409+0.000487    test-mlogloss:1.074385+0.050417 
## [403]    train-mlogloss:0.019335+0.000494    test-mlogloss:1.074299+0.050745 
## [404]    train-mlogloss:0.019230+0.000483    test-mlogloss:1.074883+0.050695 
## [405]    train-mlogloss:0.019154+0.000518    test-mlogloss:1.075524+0.050742 
## [406]    train-mlogloss:0.019054+0.000508    test-mlogloss:1.076861+0.050851 
## [407]    train-mlogloss:0.018973+0.000510    test-mlogloss:1.077615+0.050652 
## [408]    train-mlogloss:0.018908+0.000536    test-mlogloss:1.077670+0.050585 
## [409]    train-mlogloss:0.018833+0.000532    test-mlogloss:1.077843+0.051190 
## [410]    train-mlogloss:0.018783+0.000543    test-mlogloss:1.077952+0.050729 
## [411]    train-mlogloss:0.018727+0.000535    test-mlogloss:1.077975+0.050745 
## [412]    train-mlogloss:0.018654+0.000529    test-mlogloss:1.077637+0.050563 
## [413]    train-mlogloss:0.018580+0.000535    test-mlogloss:1.077807+0.051530 
## [414]    train-mlogloss:0.018508+0.000554    test-mlogloss:1.078600+0.051331 
## [415]    train-mlogloss:0.018427+0.000546    test-mlogloss:1.079070+0.051025 
## [416]    train-mlogloss:0.018339+0.000550    test-mlogloss:1.080486+0.050126 
## [417]    train-mlogloss:0.018286+0.000564    test-mlogloss:1.081110+0.049826 
## [418]    train-mlogloss:0.018227+0.000571    test-mlogloss:1.081363+0.050530 
## [419]    train-mlogloss:0.018165+0.000578    test-mlogloss:1.081640+0.050537 
## [420]    train-mlogloss:0.018107+0.000571    test-mlogloss:1.082137+0.050778 
## [421]    train-mlogloss:0.018049+0.000569    test-mlogloss:1.082850+0.050173 
## [422]    train-mlogloss:0.017970+0.000578    test-mlogloss:1.084566+0.050432 
## [423]    train-mlogloss:0.017909+0.000579    test-mlogloss:1.084817+0.051297 
## [424]    train-mlogloss:0.017829+0.000551    test-mlogloss:1.084703+0.051721 
## [425]    train-mlogloss:0.017761+0.000561    test-mlogloss:1.085132+0.050651 
## [426]    train-mlogloss:0.017704+0.000564    test-mlogloss:1.085809+0.051013 
## [427]    train-mlogloss:0.017638+0.000566    test-mlogloss:1.086455+0.050856 
## [428]    train-mlogloss:0.017591+0.000558    test-mlogloss:1.086586+0.050319 
## [429]    train-mlogloss:0.017543+0.000562    test-mlogloss:1.087162+0.050296 
## [430]    train-mlogloss:0.017463+0.000536    test-mlogloss:1.087934+0.049904 
## [431]    train-mlogloss:0.017401+0.000549    test-mlogloss:1.088135+0.050145 
## [432]    train-mlogloss:0.017333+0.000569    test-mlogloss:1.088720+0.050659 
## [433]    train-mlogloss:0.017270+0.000574    test-mlogloss:1.089163+0.050081 
## [434]    train-mlogloss:0.017184+0.000575    test-mlogloss:1.090519+0.050147 
## [435]    train-mlogloss:0.017123+0.000556    test-mlogloss:1.091813+0.050635 
## [436]    train-mlogloss:0.017055+0.000582    test-mlogloss:1.092886+0.051210 
## [437]    train-mlogloss:0.016978+0.000592    test-mlogloss:1.093565+0.051227 
## [438]    train-mlogloss:0.016912+0.000601    test-mlogloss:1.094164+0.050403 
## [439]    train-mlogloss:0.016866+0.000599    test-mlogloss:1.095059+0.050632 
## [440]    train-mlogloss:0.016807+0.000588    test-mlogloss:1.095884+0.050852 
## [441]    train-mlogloss:0.016747+0.000590    test-mlogloss:1.096850+0.051119 
## [442]    train-mlogloss:0.016689+0.000588    test-mlogloss:1.097414+0.050889 
## [443]    train-mlogloss:0.016635+0.000586    test-mlogloss:1.097685+0.051092 
## [444]    train-mlogloss:0.016566+0.000593    test-mlogloss:1.097569+0.050833 
## [445]    train-mlogloss:0.016511+0.000587    test-mlogloss:1.098059+0.051456 
## [446]    train-mlogloss:0.016440+0.000580    test-mlogloss:1.098378+0.051434 
## [447]    train-mlogloss:0.016382+0.000588    test-mlogloss:1.099454+0.051387 
## [448]    train-mlogloss:0.016340+0.000592    test-mlogloss:1.099619+0.051074 
## [449]    train-mlogloss:0.016279+0.000581    test-mlogloss:1.100066+0.051089 
## [450]    train-mlogloss:0.016222+0.000585    test-mlogloss:1.101106+0.050934 
## [451]    train-mlogloss:0.016173+0.000594    test-mlogloss:1.101374+0.051133 
## [452]    train-mlogloss:0.016116+0.000599    test-mlogloss:1.101075+0.050854 
## [453]    train-mlogloss:0.016071+0.000599    test-mlogloss:1.101748+0.051125 
## [454]    train-mlogloss:0.015996+0.000607    test-mlogloss:1.102315+0.050863 
## [455]    train-mlogloss:0.015950+0.000594    test-mlogloss:1.102490+0.050164 
## [456]    train-mlogloss:0.015912+0.000596    test-mlogloss:1.102810+0.050593 
## [457]    train-mlogloss:0.015863+0.000609    test-mlogloss:1.103181+0.050569 
## [458]    train-mlogloss:0.015812+0.000613    test-mlogloss:1.103431+0.050627 
## [459]    train-mlogloss:0.015761+0.000602    test-mlogloss:1.104345+0.050967 
## [460]    train-mlogloss:0.015695+0.000622    test-mlogloss:1.105357+0.050511 
## [461]    train-mlogloss:0.015638+0.000631    test-mlogloss:1.105851+0.051063 
## [462]    train-mlogloss:0.015592+0.000646    test-mlogloss:1.106545+0.051185 
## [463]    train-mlogloss:0.015542+0.000642    test-mlogloss:1.107006+0.051243 
## [464]    train-mlogloss:0.015481+0.000636    test-mlogloss:1.107673+0.051495 
## [465]    train-mlogloss:0.015421+0.000639    test-mlogloss:1.107757+0.051785 
## [466]    train-mlogloss:0.015391+0.000655    test-mlogloss:1.108154+0.051486 
## [467]    train-mlogloss:0.015355+0.000655    test-mlogloss:1.108889+0.051393 
## [468]    train-mlogloss:0.015311+0.000654    test-mlogloss:1.109685+0.051266 
## [469]    train-mlogloss:0.015278+0.000648    test-mlogloss:1.109718+0.051319 
## [470]    train-mlogloss:0.015231+0.000640    test-mlogloss:1.111250+0.051461 
## [471]    train-mlogloss:0.015185+0.000640    test-mlogloss:1.111887+0.051551 
## [472]    train-mlogloss:0.015145+0.000633    test-mlogloss:1.112635+0.051551 
## [473]    train-mlogloss:0.015076+0.000646    test-mlogloss:1.113547+0.051890 
## [474]    train-mlogloss:0.015026+0.000656    test-mlogloss:1.114012+0.052258 
## [475]    train-mlogloss:0.014969+0.000650    test-mlogloss:1.114382+0.052150 
## [476]    train-mlogloss:0.014908+0.000630    test-mlogloss:1.115284+0.052246 
## [477]    train-mlogloss:0.014858+0.000613    test-mlogloss:1.115696+0.051344 
## [478]    train-mlogloss:0.014795+0.000604    test-mlogloss:1.116315+0.051169 
## [479]    train-mlogloss:0.014752+0.000602    test-mlogloss:1.117204+0.051536 
## [480]    train-mlogloss:0.014693+0.000594    test-mlogloss:1.117696+0.050940 
## [481]    train-mlogloss:0.014655+0.000589    test-mlogloss:1.117925+0.050629 
## [482]    train-mlogloss:0.014593+0.000591    test-mlogloss:1.118435+0.050430 
## [483]    train-mlogloss:0.014558+0.000581    test-mlogloss:1.119174+0.050956 
## [484]    train-mlogloss:0.014500+0.000592    test-mlogloss:1.119210+0.052439 
## [485]    train-mlogloss:0.014463+0.000606    test-mlogloss:1.119629+0.052062 
## [486]    train-mlogloss:0.014418+0.000600    test-mlogloss:1.119964+0.052452 
## [487]    train-mlogloss:0.014375+0.000593    test-mlogloss:1.119569+0.052584 
## [488]    train-mlogloss:0.014320+0.000565    test-mlogloss:1.120937+0.052383 
## [489]    train-mlogloss:0.014268+0.000561    test-mlogloss:1.121613+0.052710 
## [490]    train-mlogloss:0.014229+0.000565    test-mlogloss:1.122329+0.052860 
## [491]    train-mlogloss:0.014183+0.000564    test-mlogloss:1.123567+0.052519 
## [492]    train-mlogloss:0.014143+0.000569    test-mlogloss:1.123880+0.052600 
## [493]    train-mlogloss:0.014087+0.000574    test-mlogloss:1.124832+0.052271 
## [494]    train-mlogloss:0.014057+0.000574    test-mlogloss:1.125025+0.052171 
## [495]    train-mlogloss:0.014004+0.000558    test-mlogloss:1.125832+0.052216 
## [496]    train-mlogloss:0.013954+0.000547    test-mlogloss:1.126310+0.052580 
## [497]    train-mlogloss:0.013915+0.000549    test-mlogloss:1.126303+0.052883 
## [498]    train-mlogloss:0.013882+0.000544    test-mlogloss:1.126785+0.052745 
## [499]    train-mlogloss:0.013846+0.000536    test-mlogloss:1.126966+0.052748 
## [500]    train-mlogloss:0.013817+0.000533    test-mlogloss:1.127502+0.051969 
## [1]  train-mlogloss:0.443783+0.001197    test-mlogloss:0.606630+0.009670 
## [2]  train-mlogloss:0.342044+0.002188    test-mlogloss:0.627775+0.005932 
## [3]  train-mlogloss:0.278262+0.001848    test-mlogloss:0.655712+0.008263 
## [4]  train-mlogloss:0.231886+0.003959    test-mlogloss:0.680000+0.009986 
## [5]  train-mlogloss:0.196527+0.002384    test-mlogloss:0.704898+0.009979 
## [6]  train-mlogloss:0.170160+0.002989    test-mlogloss:0.719771+0.008398 
## [7]  train-mlogloss:0.150664+0.003403    test-mlogloss:0.733846+0.009869 
## [8]  train-mlogloss:0.133844+0.002228    test-mlogloss:0.749011+0.008224 
## [9]  train-mlogloss:0.120873+0.002249    test-mlogloss:0.761680+0.008372 
## [10] train-mlogloss:0.109838+0.003438    test-mlogloss:0.770834+0.008859 
## [11] train-mlogloss:0.100065+0.004617    test-mlogloss:0.783002+0.011356 
## [12] train-mlogloss:0.092064+0.003815    test-mlogloss:0.794508+0.012602 
## [13] train-mlogloss:0.084639+0.003063    test-mlogloss:0.801113+0.015608 
## [14] train-mlogloss:0.079269+0.003094    test-mlogloss:0.808825+0.020496 
## [15] train-mlogloss:0.074675+0.002605    test-mlogloss:0.817828+0.021772 
## [16] train-mlogloss:0.070096+0.002572    test-mlogloss:0.822849+0.024014 
## [17] train-mlogloss:0.065791+0.002005    test-mlogloss:0.827092+0.024016 
## [18] train-mlogloss:0.062097+0.002121    test-mlogloss:0.832389+0.022115 
## [19] train-mlogloss:0.059089+0.001407    test-mlogloss:0.839384+0.019625 
## [20] train-mlogloss:0.055823+0.001303    test-mlogloss:0.845078+0.020061 
## [21] train-mlogloss:0.052864+0.001284    test-mlogloss:0.850941+0.021763 
## [22] train-mlogloss:0.050383+0.001065    test-mlogloss:0.857427+0.021211 
## [23] train-mlogloss:0.047981+0.000928    test-mlogloss:0.862550+0.018853 
## [24] train-mlogloss:0.045874+0.001028    test-mlogloss:0.869531+0.018903 
## [25] train-mlogloss:0.043931+0.000919    test-mlogloss:0.876328+0.020253 
## [26] train-mlogloss:0.042213+0.000766    test-mlogloss:0.881094+0.020147 
## [27] train-mlogloss:0.040670+0.000659    test-mlogloss:0.886507+0.018884 
## [28] train-mlogloss:0.039131+0.000583    test-mlogloss:0.892632+0.018237 
## [29] train-mlogloss:0.037821+0.000520    test-mlogloss:0.897044+0.019116 
## [30] train-mlogloss:0.036655+0.000484    test-mlogloss:0.901865+0.019351 
## [31] train-mlogloss:0.035474+0.000497    test-mlogloss:0.905507+0.019179 
## [32] train-mlogloss:0.034346+0.000440    test-mlogloss:0.910134+0.019573 
## [33] train-mlogloss:0.033288+0.000368    test-mlogloss:0.914757+0.019855 
## [34] train-mlogloss:0.032320+0.000336    test-mlogloss:0.917928+0.018144 
## [35] train-mlogloss:0.031442+0.000284    test-mlogloss:0.921317+0.019449 
## [36] train-mlogloss:0.030622+0.000236    test-mlogloss:0.925381+0.019640 
## [37] train-mlogloss:0.029809+0.000213    test-mlogloss:0.929044+0.018602 
## [38] train-mlogloss:0.029059+0.000238    test-mlogloss:0.931522+0.018963 
## [39] train-mlogloss:0.028358+0.000210    test-mlogloss:0.934575+0.020318 
## [40] train-mlogloss:0.027705+0.000207    test-mlogloss:0.935892+0.018835 
## [41] train-mlogloss:0.027068+0.000170    test-mlogloss:0.938700+0.019488 
## [42] train-mlogloss:0.026457+0.000142    test-mlogloss:0.942280+0.019161 
## [43] train-mlogloss:0.025882+0.000155    test-mlogloss:0.944898+0.019032 
## [44] train-mlogloss:0.025317+0.000146    test-mlogloss:0.947979+0.019382 
## [45] train-mlogloss:0.024781+0.000134    test-mlogloss:0.951107+0.020170 
## [46] train-mlogloss:0.024272+0.000157    test-mlogloss:0.953371+0.019333 
## [47] train-mlogloss:0.023818+0.000163    test-mlogloss:0.956600+0.019373 
## [48] train-mlogloss:0.023403+0.000157    test-mlogloss:0.958777+0.018721 
## [49] train-mlogloss:0.022983+0.000166    test-mlogloss:0.960179+0.020075 
## [50] train-mlogloss:0.022569+0.000162    test-mlogloss:0.962221+0.020303 
## [51] train-mlogloss:0.022173+0.000152    test-mlogloss:0.964389+0.019749 
## [52] train-mlogloss:0.021804+0.000177    test-mlogloss:0.966300+0.020563 
## [53] train-mlogloss:0.021445+0.000172    test-mlogloss:0.966996+0.021304 
## [54] train-mlogloss:0.021108+0.000176    test-mlogloss:0.968736+0.023051 
## [55] train-mlogloss:0.020759+0.000175    test-mlogloss:0.971689+0.022873 
## [56] train-mlogloss:0.020448+0.000182    test-mlogloss:0.972508+0.021430 
## [57] train-mlogloss:0.020133+0.000191    test-mlogloss:0.975602+0.021124 
## [58] train-mlogloss:0.019840+0.000189    test-mlogloss:0.977203+0.021117 
## [59] train-mlogloss:0.019584+0.000184    test-mlogloss:0.979041+0.022312 
## [60] train-mlogloss:0.019314+0.000163    test-mlogloss:0.981245+0.022348 
## [61] train-mlogloss:0.019035+0.000135    test-mlogloss:0.983266+0.022338 
## [62] train-mlogloss:0.018778+0.000159    test-mlogloss:0.985262+0.022504 
## [63] train-mlogloss:0.018537+0.000134    test-mlogloss:0.987336+0.023046 
## [64] train-mlogloss:0.018289+0.000137    test-mlogloss:0.989838+0.023058 
## [65] train-mlogloss:0.018036+0.000129    test-mlogloss:0.991848+0.022671 
## [66] train-mlogloss:0.017797+0.000129    test-mlogloss:0.993891+0.022522 
## [67] train-mlogloss:0.017590+0.000126    test-mlogloss:0.995404+0.022649 
## [68] train-mlogloss:0.017385+0.000123    test-mlogloss:0.997611+0.023123 
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## [70] train-mlogloss:0.016961+0.000101    test-mlogloss:0.999050+0.022197 
## [71] train-mlogloss:0.016771+0.000087    test-mlogloss:1.001548+0.022554 
## [72] train-mlogloss:0.016598+0.000087    test-mlogloss:1.003560+0.023843 
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## [74] train-mlogloss:0.016243+0.000080    test-mlogloss:1.006326+0.021774 
## [75] train-mlogloss:0.016069+0.000076    test-mlogloss:1.007118+0.022689 
## [76] train-mlogloss:0.015904+0.000074    test-mlogloss:1.008009+0.023558 
## [77] train-mlogloss:0.015737+0.000085    test-mlogloss:1.009290+0.022868 
## [78] train-mlogloss:0.015572+0.000072    test-mlogloss:1.011278+0.022527 
## [79] train-mlogloss:0.015407+0.000069    test-mlogloss:1.013647+0.022899 
## [80] train-mlogloss:0.015250+0.000086    test-mlogloss:1.014644+0.022730 
## [81] train-mlogloss:0.015102+0.000088    test-mlogloss:1.016641+0.022512 
## [82] train-mlogloss:0.014959+0.000082    test-mlogloss:1.017558+0.023468 
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## [85] train-mlogloss:0.014556+0.000073    test-mlogloss:1.022049+0.021545 
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## [87] train-mlogloss:0.014312+0.000075    test-mlogloss:1.023892+0.022480 
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## [89] train-mlogloss:0.014053+0.000082    test-mlogloss:1.024476+0.023002 
## [90] train-mlogloss:0.013931+0.000074    test-mlogloss:1.025887+0.023095 
## [91] train-mlogloss:0.013809+0.000066    test-mlogloss:1.026782+0.022259 
## [92] train-mlogloss:0.013697+0.000065    test-mlogloss:1.028038+0.022725 
## [93] train-mlogloss:0.013583+0.000061    test-mlogloss:1.029286+0.022570 
## [94] train-mlogloss:0.013475+0.000058    test-mlogloss:1.030591+0.022955 
## [95] train-mlogloss:0.013368+0.000064    test-mlogloss:1.032045+0.023549 
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## [99] train-mlogloss:0.012964+0.000080    test-mlogloss:1.036372+0.022428 
## [100]    train-mlogloss:0.012867+0.000081    test-mlogloss:1.037145+0.022995 
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## [465]    train-mlogloss:0.004925+0.000020    test-mlogloss:1.181888+0.026648 
## [466]    train-mlogloss:0.004919+0.000019    test-mlogloss:1.182396+0.026487 
## [467]    train-mlogloss:0.004914+0.000019    test-mlogloss:1.182573+0.026416 
## [468]    train-mlogloss:0.004908+0.000018    test-mlogloss:1.182577+0.025973 
## [469]    train-mlogloss:0.004903+0.000018    test-mlogloss:1.183130+0.026343 
## [470]    train-mlogloss:0.004898+0.000018    test-mlogloss:1.183612+0.026184 
## [471]    train-mlogloss:0.004893+0.000018    test-mlogloss:1.183666+0.025915 
## [472]    train-mlogloss:0.004888+0.000018    test-mlogloss:1.183446+0.026058 
## [473]    train-mlogloss:0.004883+0.000019    test-mlogloss:1.183940+0.025820 
## [474]    train-mlogloss:0.004878+0.000019    test-mlogloss:1.184339+0.025996 
## [475]    train-mlogloss:0.004872+0.000019    test-mlogloss:1.184269+0.026133 
## [476]    train-mlogloss:0.004867+0.000019    test-mlogloss:1.184496+0.025639 
## [477]    train-mlogloss:0.004862+0.000019    test-mlogloss:1.184745+0.025937 
## [478]    train-mlogloss:0.004857+0.000018    test-mlogloss:1.184978+0.025751 
## [479]    train-mlogloss:0.004852+0.000019    test-mlogloss:1.185233+0.025764 
## [480]    train-mlogloss:0.004846+0.000019    test-mlogloss:1.185088+0.025926 
## [481]    train-mlogloss:0.004841+0.000019    test-mlogloss:1.184976+0.026118 
## [482]    train-mlogloss:0.004835+0.000018    test-mlogloss:1.184921+0.026133 
## [483]    train-mlogloss:0.004830+0.000018    test-mlogloss:1.185418+0.025911 
## [484]    train-mlogloss:0.004825+0.000018    test-mlogloss:1.185246+0.026007 
## [485]    train-mlogloss:0.004818+0.000018    test-mlogloss:1.185680+0.026047 
## [486]    train-mlogloss:0.004813+0.000019    test-mlogloss:1.185813+0.026130 
## [487]    train-mlogloss:0.004808+0.000019    test-mlogloss:1.186055+0.025888 
## [488]    train-mlogloss:0.004803+0.000019    test-mlogloss:1.186193+0.025573 
## [489]    train-mlogloss:0.004798+0.000019    test-mlogloss:1.186262+0.025449 
## [490]    train-mlogloss:0.004793+0.000019    test-mlogloss:1.186756+0.025519 
## [491]    train-mlogloss:0.004788+0.000020    test-mlogloss:1.186993+0.025296 
## [492]    train-mlogloss:0.004782+0.000019    test-mlogloss:1.186809+0.025652 
## [493]    train-mlogloss:0.004777+0.000018    test-mlogloss:1.186761+0.025626 
## [494]    train-mlogloss:0.004772+0.000019    test-mlogloss:1.186965+0.026208 
## [495]    train-mlogloss:0.004766+0.000020    test-mlogloss:1.187072+0.026029 
## [496]    train-mlogloss:0.004762+0.000020    test-mlogloss:1.187499+0.025653 
## [497]    train-mlogloss:0.004757+0.000020    test-mlogloss:1.188062+0.025603 
## [498]    train-mlogloss:0.004753+0.000019    test-mlogloss:1.188098+0.025561 
## [499]    train-mlogloss:0.004748+0.000019    test-mlogloss:1.188356+0.025337 
## [500]    train-mlogloss:0.004743+0.000020    test-mlogloss:1.188897+0.025482 
## [1]  train-mlogloss:0.525036+0.002466    test-mlogloss:0.547949+0.007352 
## [2]  train-mlogloss:0.505151+0.002483    test-mlogloss:0.547053+0.009329 
## [3]  train-mlogloss:0.497141+0.003820    test-mlogloss:0.551105+0.010633 
## [4]  train-mlogloss:0.493267+0.004389    test-mlogloss:0.553534+0.011469 
## [5]  train-mlogloss:0.486726+0.004118    test-mlogloss:0.558961+0.011739 
## [6]  train-mlogloss:0.479786+0.003516    test-mlogloss:0.564971+0.013650 
## [7]  train-mlogloss:0.473405+0.004341    test-mlogloss:0.568361+0.012763 
## [8]  train-mlogloss:0.465955+0.005260    test-mlogloss:0.572444+0.014209 
## [9]  train-mlogloss:0.460375+0.004397    test-mlogloss:0.576327+0.012495 
## [10] train-mlogloss:0.452088+0.005475    test-mlogloss:0.582813+0.013597 
## [11] train-mlogloss:0.445887+0.006591    test-mlogloss:0.587657+0.014894 
## [12] train-mlogloss:0.437227+0.007856    test-mlogloss:0.594788+0.012763 
## [13] train-mlogloss:0.431083+0.009032    test-mlogloss:0.600594+0.010968 
## [14] train-mlogloss:0.423803+0.009815    test-mlogloss:0.607008+0.009946 
## [15] train-mlogloss:0.417530+0.012159    test-mlogloss:0.609792+0.011007 
## [16] train-mlogloss:0.412084+0.011936    test-mlogloss:0.613668+0.010148 
## [17] train-mlogloss:0.408662+0.011748    test-mlogloss:0.615449+0.011996 
## [18] train-mlogloss:0.404106+0.012005    test-mlogloss:0.621998+0.013367 
## [19] train-mlogloss:0.398215+0.011045    test-mlogloss:0.624779+0.012263 
## [20] train-mlogloss:0.392867+0.011507    test-mlogloss:0.629757+0.013335 
## [21] train-mlogloss:0.387547+0.013416    test-mlogloss:0.633627+0.014016 
## [22] train-mlogloss:0.382791+0.013974    test-mlogloss:0.638380+0.013486 
## [23] train-mlogloss:0.377423+0.013146    test-mlogloss:0.641926+0.015369 
## [24] train-mlogloss:0.371167+0.014048    test-mlogloss:0.648828+0.014752 
## [25] train-mlogloss:0.363018+0.013014    test-mlogloss:0.655895+0.014668 
## [26] train-mlogloss:0.355228+0.013533    test-mlogloss:0.662118+0.015603 
## [27] train-mlogloss:0.349780+0.013895    test-mlogloss:0.666713+0.015933 
## [28] train-mlogloss:0.344809+0.013449    test-mlogloss:0.669667+0.018970 
## [29] train-mlogloss:0.339401+0.014878    test-mlogloss:0.676129+0.022008 
## [30] train-mlogloss:0.335322+0.016054    test-mlogloss:0.678207+0.021821 
## [31] train-mlogloss:0.331074+0.015630    test-mlogloss:0.680431+0.022059 
## [32] train-mlogloss:0.326117+0.014300    test-mlogloss:0.683768+0.021510 
## [33] train-mlogloss:0.322459+0.014979    test-mlogloss:0.685748+0.021965 
## [34] train-mlogloss:0.317257+0.013639    test-mlogloss:0.691719+0.021201 
## [35] train-mlogloss:0.312612+0.012998    test-mlogloss:0.695952+0.021510 
## [36] train-mlogloss:0.308763+0.013034    test-mlogloss:0.699915+0.023182 
## [37] train-mlogloss:0.305025+0.014309    test-mlogloss:0.705238+0.026640 
## [38] train-mlogloss:0.301213+0.014184    test-mlogloss:0.705781+0.027629 
## [39] train-mlogloss:0.297728+0.013927    test-mlogloss:0.707875+0.027585 
## [40] train-mlogloss:0.293526+0.013145    test-mlogloss:0.712430+0.027263 
## [41] train-mlogloss:0.289758+0.012698    test-mlogloss:0.715217+0.024460 
## [42] train-mlogloss:0.285854+0.012412    test-mlogloss:0.718863+0.026831 
## [43] train-mlogloss:0.280827+0.013046    test-mlogloss:0.719997+0.027506 
## [44] train-mlogloss:0.275393+0.013329    test-mlogloss:0.724764+0.026027 
## [45] train-mlogloss:0.270748+0.014875    test-mlogloss:0.730482+0.030030 
## [46] train-mlogloss:0.266506+0.014755    test-mlogloss:0.733356+0.031209 
## [47] train-mlogloss:0.262676+0.014560    test-mlogloss:0.735793+0.031087 
## [48] train-mlogloss:0.257861+0.012542    test-mlogloss:0.741309+0.029544 
## [49] train-mlogloss:0.254256+0.011438    test-mlogloss:0.743595+0.030059 
## [50] train-mlogloss:0.250306+0.011420    test-mlogloss:0.746676+0.031188 
## [51] train-mlogloss:0.247247+0.011369    test-mlogloss:0.748100+0.032764 
## [52] train-mlogloss:0.243678+0.010585    test-mlogloss:0.750980+0.032107 
## [53] train-mlogloss:0.239814+0.009489    test-mlogloss:0.754128+0.032665 
## [54] train-mlogloss:0.236631+0.009304    test-mlogloss:0.757016+0.033708 
## [55] train-mlogloss:0.233432+0.009245    test-mlogloss:0.759757+0.032868 
## [56] train-mlogloss:0.230033+0.009295    test-mlogloss:0.763392+0.033955 
## [57] train-mlogloss:0.225974+0.008785    test-mlogloss:0.765749+0.036406 
## [58] train-mlogloss:0.223892+0.008227    test-mlogloss:0.768970+0.036218 
## [59] train-mlogloss:0.221051+0.008034    test-mlogloss:0.771918+0.037727 
## [60] train-mlogloss:0.217756+0.008716    test-mlogloss:0.775006+0.036606 
## [61] train-mlogloss:0.215427+0.008899    test-mlogloss:0.777969+0.037841 
## [62] train-mlogloss:0.213158+0.008954    test-mlogloss:0.780482+0.035454 
## [63] train-mlogloss:0.210934+0.009275    test-mlogloss:0.783477+0.036482 
## [64] train-mlogloss:0.208345+0.008052    test-mlogloss:0.783572+0.036712 
## [65] train-mlogloss:0.204644+0.006976    test-mlogloss:0.790914+0.033193 
## [66] train-mlogloss:0.202322+0.007137    test-mlogloss:0.792916+0.032610 
## [67] train-mlogloss:0.199517+0.006287    test-mlogloss:0.797584+0.034900 
## [68] train-mlogloss:0.197242+0.005833    test-mlogloss:0.800106+0.035430 
## [69] train-mlogloss:0.194844+0.005527    test-mlogloss:0.801815+0.034697 
## [70] train-mlogloss:0.192114+0.005878    test-mlogloss:0.805025+0.035777 
## [71] train-mlogloss:0.188800+0.005513    test-mlogloss:0.809590+0.034292 
## [72] train-mlogloss:0.185387+0.005463    test-mlogloss:0.812399+0.032406 
## [73] train-mlogloss:0.182758+0.004950    test-mlogloss:0.814751+0.033029 
## [74] train-mlogloss:0.180515+0.004473    test-mlogloss:0.817367+0.032357 
## [75] train-mlogloss:0.178058+0.003586    test-mlogloss:0.819546+0.029280 
## [76] train-mlogloss:0.175892+0.004337    test-mlogloss:0.820716+0.027110 
## [77] train-mlogloss:0.173130+0.005444    test-mlogloss:0.825631+0.027475 
## [78] train-mlogloss:0.170001+0.005906    test-mlogloss:0.831571+0.029368 
## [79] train-mlogloss:0.167087+0.005884    test-mlogloss:0.835379+0.027113 
## [80] train-mlogloss:0.164665+0.005827    test-mlogloss:0.836942+0.028319 
## [81] train-mlogloss:0.161803+0.005936    test-mlogloss:0.840126+0.028196 
## [82] train-mlogloss:0.159258+0.005889    test-mlogloss:0.843760+0.027167 
## [83] train-mlogloss:0.157408+0.005750    test-mlogloss:0.845639+0.025833 
## [84] train-mlogloss:0.155283+0.006073    test-mlogloss:0.848194+0.026723 
## [85] train-mlogloss:0.153488+0.005867    test-mlogloss:0.850307+0.027441 
## [86] train-mlogloss:0.151680+0.005772    test-mlogloss:0.852389+0.027376 
## [87] train-mlogloss:0.149916+0.005734    test-mlogloss:0.851391+0.024530 
## [88] train-mlogloss:0.148039+0.005722    test-mlogloss:0.854024+0.023819 
## [89] train-mlogloss:0.146860+0.006005    test-mlogloss:0.855643+0.024331 
## [90] train-mlogloss:0.145114+0.006186    test-mlogloss:0.857892+0.025752 
## [91] train-mlogloss:0.142892+0.006032    test-mlogloss:0.860693+0.027905 
## [92] train-mlogloss:0.140665+0.005369    test-mlogloss:0.862151+0.028563 
## [93] train-mlogloss:0.138790+0.005518    test-mlogloss:0.864457+0.027750 
## [94] train-mlogloss:0.136608+0.005513    test-mlogloss:0.867161+0.028436 
## [95] train-mlogloss:0.134124+0.004906    test-mlogloss:0.867854+0.027972 
## [96] train-mlogloss:0.132307+0.005077    test-mlogloss:0.869403+0.028900 
## [97] train-mlogloss:0.130449+0.005014    test-mlogloss:0.870128+0.027611 
## [98] train-mlogloss:0.128412+0.004929    test-mlogloss:0.874105+0.026950 
## [99] train-mlogloss:0.126397+0.004200    test-mlogloss:0.878333+0.023864 
## [100]    train-mlogloss:0.124630+0.003702    test-mlogloss:0.882671+0.025216 
## [101]    train-mlogloss:0.123035+0.003965    test-mlogloss:0.884894+0.023417 
## [102]    train-mlogloss:0.121238+0.004187    test-mlogloss:0.887693+0.021974 
## [103]    train-mlogloss:0.119455+0.003902    test-mlogloss:0.890519+0.022983 
## [104]    train-mlogloss:0.117870+0.004412    test-mlogloss:0.892866+0.022278 
## [105]    train-mlogloss:0.116235+0.004501    test-mlogloss:0.895538+0.022300 
## [106]    train-mlogloss:0.114600+0.004462    test-mlogloss:0.897022+0.024753 
## [107]    train-mlogloss:0.113518+0.004616    test-mlogloss:0.897476+0.024271 
## [108]    train-mlogloss:0.112437+0.004459    test-mlogloss:0.900591+0.023667 
## [109]    train-mlogloss:0.111087+0.004235    test-mlogloss:0.902646+0.024374 
## [110]    train-mlogloss:0.109526+0.003854    test-mlogloss:0.904079+0.024845 
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## [113]    train-mlogloss:0.105413+0.003049    test-mlogloss:0.910531+0.024948 
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## [115]    train-mlogloss:0.102248+0.002997    test-mlogloss:0.915920+0.022571 
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## [121]    train-mlogloss:0.094957+0.001842    test-mlogloss:0.930297+0.021801 
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## [127]    train-mlogloss:0.088192+0.002328    test-mlogloss:0.939747+0.018581 
## [128]    train-mlogloss:0.087037+0.002537    test-mlogloss:0.943099+0.019377 
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## [134]    train-mlogloss:0.080943+0.002935    test-mlogloss:0.953370+0.020997 
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## [411]    train-mlogloss:0.012004+0.000257    test-mlogloss:1.230198+0.039766 
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## [414]    train-mlogloss:0.011859+0.000233    test-mlogloss:1.232454+0.039941 
## [415]    train-mlogloss:0.011835+0.000232    test-mlogloss:1.233533+0.040008 
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## [417]    train-mlogloss:0.011771+0.000232    test-mlogloss:1.235042+0.039929 
## [418]    train-mlogloss:0.011748+0.000223    test-mlogloss:1.235517+0.040042 
## [419]    train-mlogloss:0.011716+0.000215    test-mlogloss:1.236878+0.040251 
## [420]    train-mlogloss:0.011674+0.000203    test-mlogloss:1.237984+0.039875 
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## [422]    train-mlogloss:0.011591+0.000208    test-mlogloss:1.239400+0.040481 
## [423]    train-mlogloss:0.011553+0.000197    test-mlogloss:1.240187+0.040248 
## [424]    train-mlogloss:0.011512+0.000195    test-mlogloss:1.240409+0.039896 
## [425]    train-mlogloss:0.011470+0.000189    test-mlogloss:1.241378+0.039973 
## [426]    train-mlogloss:0.011437+0.000192    test-mlogloss:1.241317+0.039912 
## [427]    train-mlogloss:0.011400+0.000169    test-mlogloss:1.241211+0.040291 
## [428]    train-mlogloss:0.011352+0.000146    test-mlogloss:1.241707+0.040426 
## [429]    train-mlogloss:0.011311+0.000145    test-mlogloss:1.242473+0.040678 
## [430]    train-mlogloss:0.011276+0.000145    test-mlogloss:1.242933+0.040845 
## [431]    train-mlogloss:0.011234+0.000146    test-mlogloss:1.242915+0.040695 
## [432]    train-mlogloss:0.011208+0.000147    test-mlogloss:1.243426+0.040065 
## [433]    train-mlogloss:0.011163+0.000156    test-mlogloss:1.243955+0.039316 
## [434]    train-mlogloss:0.011119+0.000164    test-mlogloss:1.244415+0.039336 
## [435]    train-mlogloss:0.011081+0.000175    test-mlogloss:1.244579+0.039387 
## [436]    train-mlogloss:0.011041+0.000173    test-mlogloss:1.244391+0.039967 
## [437]    train-mlogloss:0.011010+0.000178    test-mlogloss:1.244783+0.040270 
## [438]    train-mlogloss:0.010969+0.000181    test-mlogloss:1.245076+0.040395 
## [439]    train-mlogloss:0.010925+0.000189    test-mlogloss:1.245484+0.040197 
## [440]    train-mlogloss:0.010873+0.000186    test-mlogloss:1.246778+0.039604 
## [441]    train-mlogloss:0.010835+0.000192    test-mlogloss:1.247669+0.039632 
## [442]    train-mlogloss:0.010796+0.000206    test-mlogloss:1.248291+0.040525 
## [443]    train-mlogloss:0.010767+0.000203    test-mlogloss:1.248731+0.040192 
## [444]    train-mlogloss:0.010729+0.000194    test-mlogloss:1.249479+0.040423 
## [445]    train-mlogloss:0.010689+0.000192    test-mlogloss:1.250995+0.040237 
## [446]    train-mlogloss:0.010651+0.000190    test-mlogloss:1.251359+0.040042 
## [447]    train-mlogloss:0.010621+0.000184    test-mlogloss:1.251412+0.040953 
## [448]    train-mlogloss:0.010595+0.000173    test-mlogloss:1.251925+0.040935 
## [449]    train-mlogloss:0.010569+0.000169    test-mlogloss:1.252176+0.040647 
## [450]    train-mlogloss:0.010532+0.000166    test-mlogloss:1.253372+0.040620 
## [451]    train-mlogloss:0.010507+0.000162    test-mlogloss:1.253893+0.040575 
## [452]    train-mlogloss:0.010463+0.000158    test-mlogloss:1.254745+0.041143 
## [453]    train-mlogloss:0.010439+0.000153    test-mlogloss:1.254654+0.041333 
## [454]    train-mlogloss:0.010401+0.000149    test-mlogloss:1.255189+0.040705 
## [455]    train-mlogloss:0.010366+0.000149    test-mlogloss:1.256414+0.041493 
## [456]    train-mlogloss:0.010332+0.000146    test-mlogloss:1.256899+0.042139 
## [457]    train-mlogloss:0.010303+0.000141    test-mlogloss:1.256977+0.041861 
## [458]    train-mlogloss:0.010263+0.000141    test-mlogloss:1.256586+0.040564 
## [459]    train-mlogloss:0.010235+0.000144    test-mlogloss:1.257169+0.040574 
## [460]    train-mlogloss:0.010203+0.000145    test-mlogloss:1.257118+0.039994 
## [461]    train-mlogloss:0.010167+0.000138    test-mlogloss:1.257454+0.040257 
## [462]    train-mlogloss:0.010138+0.000136    test-mlogloss:1.257896+0.041058 
## [463]    train-mlogloss:0.010109+0.000132    test-mlogloss:1.258531+0.041112 
## [464]    train-mlogloss:0.010076+0.000135    test-mlogloss:1.259176+0.041923 
## [465]    train-mlogloss:0.010045+0.000140    test-mlogloss:1.260119+0.042410 
## [466]    train-mlogloss:0.010017+0.000133    test-mlogloss:1.261537+0.042580 
## [467]    train-mlogloss:0.009977+0.000130    test-mlogloss:1.262343+0.043730 
## [468]    train-mlogloss:0.009937+0.000142    test-mlogloss:1.263102+0.043254 
## [469]    train-mlogloss:0.009894+0.000138    test-mlogloss:1.263955+0.043402 
## [470]    train-mlogloss:0.009865+0.000136    test-mlogloss:1.264410+0.042888 
## [471]    train-mlogloss:0.009837+0.000148    test-mlogloss:1.265423+0.043149 
## [472]    train-mlogloss:0.009812+0.000151    test-mlogloss:1.265565+0.042248 
## [473]    train-mlogloss:0.009790+0.000150    test-mlogloss:1.265846+0.042409 
## [474]    train-mlogloss:0.009754+0.000142    test-mlogloss:1.267154+0.042219 
## [475]    train-mlogloss:0.009726+0.000135    test-mlogloss:1.267367+0.041449 
## [476]    train-mlogloss:0.009694+0.000138    test-mlogloss:1.268079+0.041494 
## [477]    train-mlogloss:0.009663+0.000131    test-mlogloss:1.268520+0.041695 
## [478]    train-mlogloss:0.009633+0.000124    test-mlogloss:1.268332+0.041562 
## [479]    train-mlogloss:0.009597+0.000117    test-mlogloss:1.268670+0.041602 
## [480]    train-mlogloss:0.009568+0.000117    test-mlogloss:1.268794+0.041159 
## [481]    train-mlogloss:0.009532+0.000120    test-mlogloss:1.268769+0.041801 
## [482]    train-mlogloss:0.009507+0.000123    test-mlogloss:1.268995+0.042174 
## [483]    train-mlogloss:0.009476+0.000130    test-mlogloss:1.268703+0.040971 
## [484]    train-mlogloss:0.009449+0.000128    test-mlogloss:1.269010+0.041505 
## [485]    train-mlogloss:0.009424+0.000130    test-mlogloss:1.269480+0.041794 
## [486]    train-mlogloss:0.009401+0.000126    test-mlogloss:1.269269+0.042031 
## [487]    train-mlogloss:0.009378+0.000120    test-mlogloss:1.269684+0.042564 
## [488]    train-mlogloss:0.009354+0.000119    test-mlogloss:1.269642+0.042548 
## [489]    train-mlogloss:0.009333+0.000127    test-mlogloss:1.270438+0.042465 
## [490]    train-mlogloss:0.009305+0.000130    test-mlogloss:1.270535+0.043085 
## [491]    train-mlogloss:0.009276+0.000136    test-mlogloss:1.270541+0.042094 
## [492]    train-mlogloss:0.009244+0.000136    test-mlogloss:1.270451+0.042469 
## [493]    train-mlogloss:0.009225+0.000139    test-mlogloss:1.271173+0.042924 
## [494]    train-mlogloss:0.009198+0.000140    test-mlogloss:1.272071+0.043051 
## [495]    train-mlogloss:0.009170+0.000143    test-mlogloss:1.273058+0.043257 
## [496]    train-mlogloss:0.009145+0.000147    test-mlogloss:1.273101+0.043108 
## [497]    train-mlogloss:0.009123+0.000152    test-mlogloss:1.272953+0.042798 
## [498]    train-mlogloss:0.009097+0.000157    test-mlogloss:1.273571+0.042655 
## [499]    train-mlogloss:0.009074+0.000153    test-mlogloss:1.273320+0.042689 
## [500]    train-mlogloss:0.009053+0.000158    test-mlogloss:1.273745+0.042304 
## [1]  train-mlogloss:0.416933+0.002636    test-mlogloss:0.618240+0.015997 
## [2]  train-mlogloss:0.320549+0.003069    test-mlogloss:0.662424+0.018102 
## [3]  train-mlogloss:0.255650+0.003084    test-mlogloss:0.713500+0.023343 
## [4]  train-mlogloss:0.208018+0.002852    test-mlogloss:0.746475+0.028934 
## [5]  train-mlogloss:0.174000+0.002251    test-mlogloss:0.777671+0.031418 
## [6]  train-mlogloss:0.150788+0.003172    test-mlogloss:0.800365+0.032489 
## [7]  train-mlogloss:0.133449+0.005316    test-mlogloss:0.819089+0.035883 
## [8]  train-mlogloss:0.115642+0.004267    test-mlogloss:0.832830+0.042567 
## [9]  train-mlogloss:0.102845+0.004793    test-mlogloss:0.847318+0.044939 
## [10] train-mlogloss:0.091867+0.004270    test-mlogloss:0.862700+0.040855 
## [11] train-mlogloss:0.083774+0.004672    test-mlogloss:0.878309+0.042803 
## [12] train-mlogloss:0.076145+0.003699    test-mlogloss:0.892840+0.038888 
## [13] train-mlogloss:0.070039+0.003286    test-mlogloss:0.901533+0.036084 
## [14] train-mlogloss:0.064458+0.002831    test-mlogloss:0.912504+0.039085 
## [15] train-mlogloss:0.059489+0.002328    test-mlogloss:0.924102+0.037033 
## [16] train-mlogloss:0.055429+0.001990    test-mlogloss:0.933417+0.040572 
## [17] train-mlogloss:0.051922+0.001649    test-mlogloss:0.943327+0.039642 
## [18] train-mlogloss:0.049112+0.001158    test-mlogloss:0.947868+0.041310 
## [19] train-mlogloss:0.046251+0.001014    test-mlogloss:0.953701+0.040629 
## [20] train-mlogloss:0.043810+0.000769    test-mlogloss:0.959423+0.040845 
## [21] train-mlogloss:0.041647+0.000750    test-mlogloss:0.962696+0.042945 
## [22] train-mlogloss:0.039688+0.000668    test-mlogloss:0.967534+0.042129 
## [23] train-mlogloss:0.037864+0.000679    test-mlogloss:0.974231+0.043108 
## [24] train-mlogloss:0.036163+0.000658    test-mlogloss:0.981017+0.040829 
## [25] train-mlogloss:0.034775+0.000690    test-mlogloss:0.985577+0.040977 
## [26] train-mlogloss:0.033496+0.000592    test-mlogloss:0.991863+0.042540 
## [27] train-mlogloss:0.032250+0.000565    test-mlogloss:0.996867+0.042709 
## [28] train-mlogloss:0.031091+0.000543    test-mlogloss:1.000839+0.042173 
## [29] train-mlogloss:0.030047+0.000505    test-mlogloss:1.005523+0.041489 
## [30] train-mlogloss:0.029177+0.000421    test-mlogloss:1.007619+0.039894 
## [31] train-mlogloss:0.028271+0.000338    test-mlogloss:1.012612+0.039719 
## [32] train-mlogloss:0.027425+0.000340    test-mlogloss:1.020604+0.040897 
## [33] train-mlogloss:0.026636+0.000351    test-mlogloss:1.024080+0.040960 
## [34] train-mlogloss:0.025921+0.000332    test-mlogloss:1.028814+0.040944 
## [35] train-mlogloss:0.025213+0.000302    test-mlogloss:1.034321+0.041763 
## [36] train-mlogloss:0.024541+0.000284    test-mlogloss:1.038914+0.042514 
## [37] train-mlogloss:0.023936+0.000282    test-mlogloss:1.042160+0.040349 
## [38] train-mlogloss:0.023354+0.000245    test-mlogloss:1.043862+0.040259 
## [39] train-mlogloss:0.022779+0.000214    test-mlogloss:1.045991+0.041414 
## [40] train-mlogloss:0.022247+0.000206    test-mlogloss:1.047773+0.041328 
## [41] train-mlogloss:0.021700+0.000208    test-mlogloss:1.048789+0.044816 
## [42] train-mlogloss:0.021191+0.000197    test-mlogloss:1.052321+0.045683 
## [43] train-mlogloss:0.020754+0.000210    test-mlogloss:1.055447+0.044390 
## [44] train-mlogloss:0.020331+0.000215    test-mlogloss:1.057116+0.044565 
## [45] train-mlogloss:0.019923+0.000208    test-mlogloss:1.059650+0.042997 
## [46] train-mlogloss:0.019559+0.000201    test-mlogloss:1.062407+0.042980 
## [47] train-mlogloss:0.019216+0.000198    test-mlogloss:1.064785+0.044832 
## [48] train-mlogloss:0.018894+0.000198    test-mlogloss:1.066808+0.046481 
## [49] train-mlogloss:0.018558+0.000192    test-mlogloss:1.069476+0.045552 
## [50] train-mlogloss:0.018214+0.000194    test-mlogloss:1.073024+0.046026 
## [51] train-mlogloss:0.017892+0.000180    test-mlogloss:1.076511+0.044843 
## [52] train-mlogloss:0.017598+0.000168    test-mlogloss:1.078572+0.045480 
## [53] train-mlogloss:0.017315+0.000150    test-mlogloss:1.079901+0.046709 
## [54] train-mlogloss:0.017054+0.000125    test-mlogloss:1.080580+0.046167 
## [55] train-mlogloss:0.016802+0.000105    test-mlogloss:1.082942+0.047560 
## [56] train-mlogloss:0.016547+0.000110    test-mlogloss:1.086746+0.047526 
## [57] train-mlogloss:0.016290+0.000141    test-mlogloss:1.088350+0.045955 
## [58] train-mlogloss:0.016071+0.000121    test-mlogloss:1.092069+0.044928 
## [59] train-mlogloss:0.015855+0.000125    test-mlogloss:1.094345+0.045130 
## [60] train-mlogloss:0.015648+0.000126    test-mlogloss:1.093938+0.044514 
## [61] train-mlogloss:0.015448+0.000128    test-mlogloss:1.097522+0.043978 
## [62] train-mlogloss:0.015235+0.000129    test-mlogloss:1.100305+0.045421 
## [63] train-mlogloss:0.015049+0.000124    test-mlogloss:1.102163+0.044774 
## [64] train-mlogloss:0.014875+0.000114    test-mlogloss:1.103466+0.045717 
## [65] train-mlogloss:0.014693+0.000128    test-mlogloss:1.105109+0.045419 
## [66] train-mlogloss:0.014511+0.000128    test-mlogloss:1.106894+0.045281 
## [67] train-mlogloss:0.014353+0.000120    test-mlogloss:1.108555+0.043479 
## [68] train-mlogloss:0.014171+0.000112    test-mlogloss:1.110365+0.043748 
## [69] train-mlogloss:0.014012+0.000113    test-mlogloss:1.111565+0.043680 
## [70] train-mlogloss:0.013853+0.000106    test-mlogloss:1.113568+0.042745 
## [71] train-mlogloss:0.013708+0.000096    test-mlogloss:1.115486+0.043481 
## [72] train-mlogloss:0.013555+0.000100    test-mlogloss:1.116923+0.043841 
## [73] train-mlogloss:0.013409+0.000105    test-mlogloss:1.117865+0.044650 
## [74] train-mlogloss:0.013278+0.000110    test-mlogloss:1.119289+0.044702 
## [75] train-mlogloss:0.013142+0.000099    test-mlogloss:1.121329+0.043492 
## [76] train-mlogloss:0.013005+0.000101    test-mlogloss:1.121846+0.042572 
## [77] train-mlogloss:0.012885+0.000104    test-mlogloss:1.122256+0.044628 
## [78] train-mlogloss:0.012754+0.000111    test-mlogloss:1.124769+0.045155 
## [79] train-mlogloss:0.012635+0.000109    test-mlogloss:1.124318+0.045701 
## [80] train-mlogloss:0.012502+0.000114    test-mlogloss:1.126121+0.045595 
## [81] train-mlogloss:0.012388+0.000113    test-mlogloss:1.127471+0.045640 
## [82] train-mlogloss:0.012268+0.000117    test-mlogloss:1.129092+0.044636 
## [83] train-mlogloss:0.012160+0.000118    test-mlogloss:1.131028+0.045730 
## [84] train-mlogloss:0.012053+0.000110    test-mlogloss:1.131176+0.044333 
## [85] train-mlogloss:0.011947+0.000118    test-mlogloss:1.132525+0.043846 
## [86] train-mlogloss:0.011845+0.000119    test-mlogloss:1.133978+0.044402 
## [87] train-mlogloss:0.011746+0.000118    test-mlogloss:1.135708+0.045357 
## [88] train-mlogloss:0.011652+0.000116    test-mlogloss:1.135839+0.045982 
## [89] train-mlogloss:0.011554+0.000116    test-mlogloss:1.137836+0.046098 
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## [91] train-mlogloss:0.011361+0.000114    test-mlogloss:1.140974+0.046376 
## [92] train-mlogloss:0.011278+0.000108    test-mlogloss:1.141807+0.046262 
## [93] train-mlogloss:0.011190+0.000101    test-mlogloss:1.143398+0.045491 
## [94] train-mlogloss:0.011103+0.000102    test-mlogloss:1.144254+0.044991 
## [95] train-mlogloss:0.011023+0.000102    test-mlogloss:1.144845+0.045108 
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## [97] train-mlogloss:0.010863+0.000110    test-mlogloss:1.146855+0.045140 
## [98] train-mlogloss:0.010785+0.000106    test-mlogloss:1.146956+0.045382 
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## [489]    train-mlogloss:0.004173+0.000021    test-mlogloss:1.279630+0.054274 
## [490]    train-mlogloss:0.004169+0.000021    test-mlogloss:1.280520+0.053803 
## [491]    train-mlogloss:0.004165+0.000022    test-mlogloss:1.280539+0.054305 
## [492]    train-mlogloss:0.004161+0.000022    test-mlogloss:1.280580+0.054197 
## [493]    train-mlogloss:0.004157+0.000022    test-mlogloss:1.281117+0.054300 
## [494]    train-mlogloss:0.004153+0.000022    test-mlogloss:1.281505+0.054286 
## [495]    train-mlogloss:0.004150+0.000022    test-mlogloss:1.281407+0.054442 
## [496]    train-mlogloss:0.004146+0.000023    test-mlogloss:1.282135+0.054139 
## [497]    train-mlogloss:0.004143+0.000023    test-mlogloss:1.281786+0.053737 
## [498]    train-mlogloss:0.004139+0.000023    test-mlogloss:1.282083+0.054357 
## [499]    train-mlogloss:0.004136+0.000023    test-mlogloss:1.282199+0.054077 
## [500]    train-mlogloss:0.004131+0.000023    test-mlogloss:1.282330+0.054172
xgboost_set %>% arrange(mlogloss) %>% head(10)

找到最優參數,定義為: nrounds = 29, eta=0.3, min_child_weight=5, max_depth=10,subsample=0.8, colsample_bytree=0.8

model <- xgboost(data = train_Matrix,
                  nrounds = 29,
                  eta=0.3,
                  min_child_weight=5,
                  max_depth=10,
                  subsample=0.8,
                  colsample_bytree=0.8,
                  objective = "multi:softmax",
                  eval_metric = "mlogloss",
                  "num_class" = 2) 
## [1]  train-mlogloss:0.591532 
## [2]  train-mlogloss:0.529485 
## [3]  train-mlogloss:0.487670 
## [4]  train-mlogloss:0.454790 
## [5]  train-mlogloss:0.428293 
## [6]  train-mlogloss:0.407835 
## [7]  train-mlogloss:0.392772 
## [8]  train-mlogloss:0.379829 
## [9]  train-mlogloss:0.368845 
## [10] train-mlogloss:0.362102 
## [11] train-mlogloss:0.356782 
## [12] train-mlogloss:0.350035 
## [13] train-mlogloss:0.343471 
## [14] train-mlogloss:0.337395 
## [15] train-mlogloss:0.333501 
## [16] train-mlogloss:0.328199 
## [17] train-mlogloss:0.322810 
## [18] train-mlogloss:0.318406 
## [19] train-mlogloss:0.315217 
## [20] train-mlogloss:0.309130 
## [21] train-mlogloss:0.302613 
## [22] train-mlogloss:0.294869 
## [23] train-mlogloss:0.293620 
## [24] train-mlogloss:0.291304 
## [25] train-mlogloss:0.281953 
## [26] train-mlogloss:0.278146 
## [27] train-mlogloss:0.273423 
## [28] train-mlogloss:0.269031 
## [29] train-mlogloss:0.266804

混淆矩陣: train:0.9405852 test:0.6988608 competition:0.75

train_predict = predict(model, newdata = train_Matrix)
train_cf =table(real=trainy ,predict=train_predict)
sum(diag(train_cf))/sum(train_cf)
## [1] 0.9354962
test_predict = predict(model, newdata = test_Matrix)
test_cf=table(real=testy ,predict=test_predict)
sum(diag(test_cf))/sum(test_cf)
## [1] 0.7018326
predict = predict(model, newdata = competition_Matrix)
confuse.Matrix=table(real=competitiony ,predict=predict)
sum(diag(confuse.Matrix))/sum(confuse.Matrix)
## [1] 0.25

查看XGBOOST的importance欄位

importance <- xgb.importance(feature_names = NULL, model = model)
head(importance)